Converging Clinical and Engineering Research on Neurorehabilitation III (eBook)

Proceedings of the 4th International Conference on NeuroRehabilitation (ICNR2018), October 16-20, 2018, Pisa, Italy

Lorenzo Masia, Silvestro Micera, Metin Akay, José L. Pons (Herausgeber)

eBook Download: PDF

2018 | 2019
XXIX, 1180 Seiten
Springer International Publishing (Verlag)
978-3-030-01845-0 (ISBN)

Infos

The book reports on advanced topics in the areas of neurorehabilitation research and practice. It focuses on new methods for interfacing the human nervous system with electronic and mechatronic systems to restore or compensate impaired neural functions. Importantly, the book merges different perspectives, such as the clinical, neurophysiological, and bioengineering ones, to promote, feed and encourage collaborations between clinicians, neuroscientists and engineers.  Based on the 2018 International Conference on Neurorehabilitation (ICNR 2018) held on October 16-20, 2018, in Pisa, Italy,, this book covers various aspects of neurorehabilitation research and practice, including new insights into biomechanics, brain physiology, neuroplasticity, and brain damages and diseases, as well as innovative methods and technologies for studying and/or recovering brain function, from data mining to interface technologies and neuroprosthetics. In this way, it offers a concise, yet comprehensive reference guide to neurosurgeons, rehabilitation physicians, neurologists, and bioengineers. Moreover, by highlighting current challenges in understanding brain diseases as well as in the available technologies and their implementation, the book is also expected to foster new collaborations between the different groups, thus stimulating new ideas and research directions.

Inhalt

Contents 6
Prosthetics – Translating Research Prototypes to Bedside: The Lesson-Learnt of the RETRAINER EU Project (SS2) 31
A Wearable Hand Neuroprosthesis for Hand Rehabilitation After Stroke: Preliminary Results of the RETRAINER S2 Randomized Controlled Trial 32
Abstract 32
1 Introduction 32
2 Materials and Methods 33
2.1 Participants and Sample 33
2.2 System Description 34
2.3 Exercises Description 34
2.4 Description of Training Program 34
3 Results 35
4 Discussion 35
5 Conclusion 36
References 36
The Role of Industry in a H2020 Innovation Action – Transferring Research into Products 37
Abstract 37
1 Introduction 37
2 Main Advancements of the Project 38
2.1 Clinical Evidence 38
2.2 New Technology 38
2.3 Networking- LEAD Users 38
2.4 Distribution of Knowledge 38
2.5 Shared Production Resources 39
3 Challenges 39
3.1 Difficulties of Knowledge Transfer 39
3.2 Company Specific Challenges 39
3.3 Occupation Specific Language 39
3.4 Entering a Well-Established Consortium 40
3.5 Geographical Distance and Cultural Differences 40
4 Discussion and Conclusion 40
References 40
Smart Objects in Rehabilitation 41
Abstract 41
1 Introduction 41
2 Working Principle 42
2.1 Overview 42
2.2 System Components 42
3 Results 44
4 Conclusion 44
References 44
Wireless IMU- and EMG-Sensors for Controlled Functional Electrical Stimulation 45
1 Introduction 45
2 Methods 46
3 Preliminary Experimental Results 48
4 Conclusions 49
References 49
Passive Light-Weight Arm Exoskeleton: Possible Applications 50
Abstract 50
1 Introduction 50
2 Materials and Methods 51
2.1 Exoskeleton 51
2.2 Experimental Setup and Measurements 52
2.3 Simulation 52
3 Results and Discussions 53
4 Conclusion and Outlook 53
References 54
RETRAINER Project: Perspectives and Lesson Learnt on Clinical Trial in Rehabilitation Robotics to Foster Industrial Exploitation 55
Abstract 55
1 Introduction 55
2 What Does “Moving a Research Prototype Outside of the Lab” Mean? 56
3 What Are the Main Aspects of a Proper Clinical Trial of Rehabilitation Treatments Based on Robots? 57
4 What Are the Most Important Elements to Evaluate the Trial? 57
5 And the Industrial Exploitation? 58
References 59
Clinical Benefits and Acceptability of Two Commercial Arm Exoskeletons for Patients with Muscular Dystrophy 60
1 Introduction 60
2 Material and Methods 61
3 Result 62
4 Discussion 63
References 64
Prosthetics – Computer Models in the Design of Neurotechnologies and Rehabilitation Tools (SS3) 65
Model-Based Analysis of Spinal Cord Stimulation for Chronic Pain 66
Abstract 66
1 Introduction 66
2 Materials and Methods 67
2.1 Clinical Measurements 67
2.2 Model Analysis 67
3 Results 69
4 Conclusion 69
Acknowledgments 69
References 69
Anatomically Realistic Computational Model to Assess the Specificity of Epidural Electrical Stimulation of the Cervical Spinal Cord 71
1 Introduction 71
2 Hybrid Computational Model 72
2.1 Realistic 3D Conductor Volume 72
2.2 Realistic Group-Ia Fibers 72
3 Results 73
4 Conclusion 74
References 74
A Computational Model for the Design of Lower-Limb Sensorimotor Neuroprostheses 76
Abstract 76
1 Introduction 76
2 Materials and Methods 77
2.1 Computational Model 77
2.2 Modeling of Different Geometry and Design of Devices 77
3 Results 78
4 Discussion and Conclusion 79
References 80
Decoding Phantom Limb Neuro-Mechanical Function for a New Paradigm of Mind-Controlled Bionic Limbs 81
Abstract 81
1 Introduction 81
2 Methods 82
2.1 Experimental Procedures 82
2.2 Neuro-Mechanical Modelling and Control 82
3 Results 83
4 Conclusion 84
References 84
A Simple and Complete Model of Thalamocortical Interactions for Neuroengineering Applications 85
1 Introduction 85
2 Materials and Methods 86
3 Results 87
4 Discussion 88
5 Conclusions 89
References 89
Prosthetics – New Perspectives in Upper Limb Prosthetics: from the Robotics Laboratory to Clinical Use (SS4) 91
A Synergistic Behavior Underpins Human Hand Grasping Force Control During Environmental Constraint Exploitation 92
1 Introduction 92
2 Materials and Methods 93
3 Results and Discussions 94
References 96
Online Simultaneous Myoelectric Finger Control 97
Abstract 97
1 Introduction 97
2 Methods 98
2.1 Subjects 98
2.2 Experimental Setup 98
2.3 Experimental Protocol 99
2.4 Data Analysis 99
3 Results 99
4 Discussion 100
References 101
Preliminary Results Toward Continuous and Proportional Control of a Multi-synergistic Soft Prosthetic Hand 102
1 Introduction 102
2 Materials and Methods 103
3 Results 104
4 Discussion 104
5 Conclusion 105
References 106
X-Limb: A Soft Prosthetic Hand with User-Friendly Interface 107
1 Introduction 107
2 Method 108
3 Results and Discussion 110
4 Conclusions 111
References 111
Prosthetics – Poster Session 112
Development of a Hand Neuroprosthesis for Grasp Rehabilitation After Stroke: State of Art and Perspectives 113
1 Introduction 113
2 Materials and Methods 114
2.1 User-Centered Design 114
2.2 Active Modules 114
3 Results and Discussions 116
4 Conclusions 116
References 116
Hybrid Robotic System for Arm Training After Stroke: Preliminary Results of a Randomized Controlled Trial 118
Abstract 118
1 Introduction 118
2 Materials and Methods 119
2.1 Design and Participants 119
2.2 Interventions 119
2.3 Outcome Measures and Statistical Analysis 119
3 Results and Discussion 120
4 Conclusion 121
References 121
Evaluation of Hand-Grip Features Using Low-Cost Electromyography 122
1 Introduction 122
2 Materials and Methods 123
2.1 Hand Pressure Levels 123
2.2 Forearm Electromyography 123
2.3 Experimental Protocol 124
3 Results 124
4 Conclusion 125
References 125
Progress Towards the Development of the DeTOP Hand Prosthesis: A Sensorized Transradial Prosthesis for Clinical Use 127
Abstract 127
1 Overview of the Prosthetic Hand 127
2 Design Review 128
2.1 Size 128
2.2 Grasp/Speed Performance 128
2.3 Integral Casing and Cosmesis 129
2.4 Fingers 129
2.5 Sensory System 129
3 Durability and Strength in Lab Tests 130
4 Test with End User 130
References 130
Role of Renshaw Cells in the Mammalian Locomotor Circuit: A Computational Study 131
Abstract 131
1 Introduction 131
2 Methods 132
3 Results 133
4 Conclusion 134
References 134
Development of an Intraneural Peripheral Stimulation Paradigm for the Restoration of Fine Hand Control in Non-human Primates 136
1 Introduction 136
2 Methods 137
2.1 Study of NHP Arm Nerves Anatomy 137
2.2 Computational Model of PNS 138
2.3 In Vivo Characterization of Hand Muscles Recruitment 138
2.4 Task-Specific EMG Activation Reconstruction Using PNS 138
3 Results 138
4 Conclusion 139
References 139
Personalizing Exoskeleton-Based Upper Limb Rehabilitation Using a Statistical Model: A Pilot Study 141
Abstract 141
1 Introduction 142
2 Materials and Methods 142
2.1 Model for Personalizing the Training 142
2.2 Subjects 143
2.3 Experimental Protocol 143
3 Results 143
4 Discussion and Conclusion 144
References 145
Improvements on the Design of the S-Finger Prosthetic Digit 146
Abstract 146
1 Introduction 146
2 Materials and Methods 147
3 Results 149
4 Discussion and Conclusion 150
References 150
Hybrid and Fast: A Novel in Silico Approach with Reduced Computational Cost to Predict Failures of in Vivo Needle-Based implantations 151
1 Introduction 151
2 Materials and Methods 152
2.1 Acute Experiments 152
2.2 A Theoretical Framework to Assess Interactions 152
2.3 Fast in Silico Models of Peripheral Nerves 152
3 Results 153
4 Discussion and Conclusion 154
References 154
Method for Optimal Digit Alignment for the Fitting of Partial Hand Powered Prostheses: A Preliminary Study 156
Abstract 156
1 Introduction 156
2 Materials and Methods 156
2.1 Mathematical Model 156
2.2 Optimization 158
3 Test Case 159
Acknowledgments 159
References 160
Hybrid Gaussian Point-Process Model for Finer Control of Myoelectric Robotic Hands 161
1 Introduction 161
2 Algorithm 162
3 Results 163
4 Conculsions 164
References 164
A Hybrid Framework to Investigate Physical Stress Evolution in Peripheral Nerves 165
1 Introduction 165
2 Materials and Methods 165
2.1 Experiments 165
2.2 In Silico Model of Nerve 166
3 Results 167
4 Discussion and Conclusion 167
References 168
Transfemoral Residual Limb Volume Change Due to Physical Activity 170
Abstract 170
1 Introduction 170
2 Materials and Methods 171
2.1 Experimental Design 171
2.2 Data Processing 172
3 Results 172
4 Conclusion 174
References 174
Rehabilitation Robotics and Assistive Technology – Improving Strategies for Human-Robot Interaction for Rehabilitation Robotics Applications (SS5) 175
A Perspective on the Use of Error Augmentation in Robot-Assisted Gait Training of StrokeSurvivors 176
Abstract 176
1 Introduction 176
2 Error Augmentation 177
3 Challenges 178
4 Conclusions 178
References 179
Towards Versatile Fast Training for Wearable Interfaces in Prosthetics 180
1 Introduction 180
2 Setup Description 181
2.1 Embedded Platform 181
2.2 Algorithm 181
3 Experimental Results 182
4 Conclusion 183
References 184
Comparison of Three Control Strategies for an Upper Arm Rehabilitation Device 185
Abstract 185
1 Introduction 185
2 Methods 185
2.1 Exercises Description 185
2.2 Exoskeleton 186
2.3 RFID Technology 186
2.4 Control Strategies 186
2.5 Verification of the Kinematic Model 187
2.6 Patient Testing 188
3 Results and Conclusion 188
References 188
Multi-scale Modelling of the Human Neuromuscular System for Symbiotic Human-Machine Motor Interaction 190
Abstract 190
1 Introduction 190
2 Methods 191
2.1 Experimental Procedures 191
2.2 Spinal Motor Neuron Decoding 191
2.3 Neuro-Mechanical Modelling 191
2.4 Exoskeleton Interface 192
3 Result 192
4 Conclusion 193
References 193
Novel Control Strategies for Upper Limb Prosthetics 194
Abstract 194
1 Introduction 194
2 Improvements of the Myocontrol Chain 195
2.1 Feature Extraction 195
2.2 Control Algorithms 195
2.3 Mapping of the Outputs 196
2.4 Feedback Loop 196
3 Conclusion 197
References 197
Biomechanics Underlying Subject-Dependent Variability in Motor Adaptation to Soft Exosuit Assistance 198
Abstract 198
1 Introduction 198
2 Materials and Methods 199
2.1 System Details 199
2.2 Protocol Overview 199
2.3 Collected Measurements 200
3 Results 200
4 Discussion and Conclusion 200
References 202
Sensorless Force Estimator in Rehabilitation Robotics 203
1 Introduction 203
2 Materials and Methods 204
2.1 The EMU Rehabilitation Robot 204
2.2 Model Based Force Estimator 204
2.3 Experimental Methods 204
3 Discussion 205
4 Conclusion 206
References 207
Teleoperated Bilateral-Arm Rehabilitation with ALEx Rehab Station 208
1 Introduction 208
2 Materials and Methods 209
2.1 Robotic Device 209
2.2 Experiment Setup 210
3 Results and Discussions 210
4 Conclusion 211
References 211
Timing of Motor Recovery in Subacute and Chronic Stroke Patients During Upper Limb Robot-Assisted Rehabilitation 213
Abstract 213
1 Introduction 213
2 Methods 214
2.1 Participants 214
2.2 Experimental Setup 214
2.3 Intervention 214
2.4 Clinical Outcome Measures 215
2.5 Kinematic Parameters 215
3 Results 215
4 Discussion 216
5 Conclusion 216
References 216
The AI Supervisor for the Effective Treadmill Training System of Rehabilitation and Exercise 218
Abstract 218
1 Introduction 218
2 Materials and Methods 219
3 Experimental Results 220
4 Conclusion 221
References 222
A User Model for Adaptation of Task Parameters in Robot-Assisted Exercise 223
1 Introduction 223
2 Materials and Methods 224
2.1 Adaptive Control Model 224
2.2 Experimental Apparatus and Task 225
3 Results 225
4 Discussion and Conclusions 226
References 227
Bilateral Rehabilitation of Hand Grasping with an Underactuated Hand Exoskeleton 228
1 Introduction 228
2 Materials and Methods 229
3 Experimental Methods and Results 229
4 Discussions and Conclusion 231
References 231
Rehabilitation Robotics and Assistive Technology – Shaping Robotic Training to Maximize Patient Outcome: New Trends and Perspectives (SS7) 233
Patient Motivation and Rewarding to Maximize Outcome: A Sensory Perspective 234
Abstract 234
1 Introduction 234
2 Materials and Methods 235
2.1 Promoting Motivation Using Vision and Haptics 235
2.2 Promoting Motivation Through Proprioceptive Training 235
2.3 Promoting Motivation Through Sonification 236
3 Results 237
4 Conclusions 237
References 237
Use of EEG Signal Information to Optimize Training and Promote Plasticity 239
Abstract 239
1 Introduction 239
2 Materials and Methods 240
3 Results 240
4 Discussion 240
5 Conclusions 241
References 241
Evolution of Proprioceptive Dysfunctions After Stroke: Insights from Robotic Metrics 242
1 Introduction 242
2 Materials and Methods 243
2.1 Participants 243
2.2 Protocol 243
2.3 Data Analysis 244
3 Results 244
3.1 Clinical Scale 244
3.2 Robotic Metrics 245
4 Discussion 245
References 246
Training Muscle Synergies to Relearn Movement: Current Perspectives and Future Trends 247
Abstract 247
1 Introduction 247
2 Evaluation of the Effect of Assistive and Resistive Forces on Upper Limb Muscle Synergies in Chronic Stroke Subjects 248
3 Evaluation of the Effect of Personalized and Standard Robotic Training on Upper Limb Muscle Synergies in Subacute Stroke Subjects 249
4 Conclusion 250
References 250
Analysis of Intramuscular Motor Unit Coherence in the Tibialis Anterior Muscle as a Tool for the Assessment of Robot-Assisted Rehabilitation 252
1 Introduction 252
2 Materials and Methods 253
2.1 Participants and Experimental Procedure 253
2.2 Motor Unit Decomposition 254
2.3 Intramuscular Coherence 254
3 Results and Discussion 255
References 255
Robot Assisted Exercise: Modelling the Recovery Process to Personalise Therapy 257
Abstract 257
1 Introduction 257
2 Materials and Methods 258
2.1 Subjects and Exercise Protocol 258
2.2 Computational Model 258
3 Results 259
4 Discussion and Conclusion 260
References 261
Rehabilitation Robotics and Assistive Technology – Neurorehabilitation from Clinical Perspective and Robotic Perspective: Contradictions and Integrations (SS8) 262
A Pilot Study of Relationship Between Hip Joint Movement and FES Foot Drop Correction with a Hemiplegic Subject 263
Abstract 263
1 Introduction 263
2 Methods 264
3 Results 264
4 Discussion 266
References 266
Evaluation of the Brain Function for the Myoelectric Hand Prosthesis with Tacit Learning System 268
Abstract 268
1 Introduction 268
2 Materials and Methods 269
3 Results 270
4 Discussion 270
5 Conclusion 271
References 271
A Framework for Home-Based Stroke Rehabilitation Using Interactive Games and Augmented Reality Feedback 272
Abstract 272
1 Introduction 272
2 Related Work 273
3 The Framework 273
3.1 Visualize Hand Intent and Movements 273
3.2 AR Game-Based Real Time Feedback 274
3.3 Biofeedback via Cloud Platform 274
4 Conclusion 275
References 275
Feasibility of Submaximal Force Control Training for Robot–Mediated Therapy After Stroke 276
1 Introduction 276
2 Materials and Methods 277
2.1 Experimental Platform 277
2.2 Participant 277
2.3 Task 277
3 Results 279
4 Conclusions and Future Work 279
References 280
Tailored, Technological Therapy: Physician and Therapists Point of View on Robotic Rehabilitation 281
Abstract 281
1 Introduction 281
2 Materials and Methods 282
3 Results 282
3.1 Tailored 282
3.2 Technological 283
3.3 Therapy 283
4 Discussion 284
5 Conclusion 284
References 284
What Helps or Hinders the Uptake of New Technologies into Rehabilitation Practice? 285
Abstract 285
1 Introduction 285
2 Materials and Methods 286
2.1 Method 286
2.2 Participants 286
2.3 Data Collection and Analysis 286
3 Results 286
3.1 Participant Characteristics 286
3.2 Interview Findings 286
4 Discussion 287
5 Conclusion 288
References 288
Rehabilitation Robotics and Assistive Technology – Balance Control During Walking-Related Motor Tasks (SS9) 289
Performance of Functional Arm and Leg Movements Depends on Neural Coupling 290
1 Introduction 290
References 291
Effectiveness of Assistive Torque Patterns Supplied by a Pelvis Exoskeleton After Slippages: A Pilot Study 292
Abstract 292
1 Introduction 292
2 Materials and Methods 293
2.1 Participants and Experimental Protocol 293
2.2 Data Processing 294
2.3 Dynamic Stability 294
3 Results 295
4 Conclusion 295
References 295
Differentiating the Effects of Motor and Cognitive Dual-Tasks on Gait Performance of Young Healthy Subjects 297
Abstract 297
1 Introduction 297
2 Materials and Methods 298
2.1 Participants, Test Procedure and Instrumentation 298
2.2 Data Processing and Statistical Analysis 298
3 Results and Discussion 299
References 300
Gait Adjustments Against Multidirectional Waist-Pulls in Cerebellar Ataxia and Parkinson’s Disease 302
Abstract 302
1 Introduction 302
2 Materials and Methods 303
3 Results 304
4 Conclusion 305
References 305
Are Ankle Muscle Responses in Balance Recovery Hard-Wired? 306
Abstract 306
1 Introduction 306
2 Methods 307
2.1 Apparatus 307
2.2 Protocol 307
2.3 Data Processing 308
3 Results 308
4 Discussion and Conclusion 309
References 309
The Improvement of Turning Ability is a Key Objective for Fall-Risk Reduction in Individuals with Impaired Dynamic Stability 310
Abstract 310
1 Introduction 310
2 Review of Turning, Dynamic Stability, and Fall-Risk 311
2.1 The Quality of Turning in Parkinson’s Disease 311
2.2 The Quality and Quantity of Turning in Future Recurrent Fallers 311
2.3 The Potential of Integrating Turning Features into Fall-Risk Assessment Tools 312
3 Implications to Neurorehabilitation 312
4 Conclusion 313
References 313
Rehabilitation Robotics and Assistive Technology – The Use of Ambulant Technology in Stroke Rehabilitation (SS10) 314
Towards Automated Assessment of Upper Limbs Motor Function Based on Fugl-Meyer Test and Virtual Environment 315
1 Introduction 315
2 Materials and Methods 316
2.1 Fugl-Meyer Assessment (FMA) Test 316
2.2 FMA Scoring Based on Virtual Environment 316
2.3 Analysis of Movement Smoothness 316
3 Results 317
4 Discussion 318
5 Conclusions 319
References 319
Pilot Study of a Performance-Based Adaptive Assistance Controller for Stroke Survivors 320
Abstract 320
1 Introduction 320
2 Materials and Methods 321
2.1 Robotic Device 321
2.2 Adaptive Controller 321
2.3 Patient and Pilot Experiment 322
3 Results 322
4 Conclusions 323
Acknowledgment 323
References 323
Measurement of Upper Limb Function During Daily Life After Stroke 325
Abstract 325
1 Introduction 325
2 Materials and Methods 326
2.1 Method 326
2.2 Material 326
3 Results 327
4 Discussion 327
5 Conclusion 328
References 328
Assisting Limb Advancement During Walking After Stroke Using a Wearable Soft Hip Exosuit: A Proof-of-Concept 330
Abstract 330
1 Introduction 330
2 Materials and Methods 331
2.1 Exosuit Hardware and Instrumentation 331
2.2 Control and Clinical Tuning 331
2.3 Walking Protocol 332
2.4 Subject Demographics 332
3 Results 332
4 Discussion and Conclusion 334
References 334
A Novel Design of Nonlinear Stiffness Actuator for Neurorehabilitation Robots 335
Abstract 335
1 Introduction 335
2 Methods 336
3 Results 337
4 Discussion and Conclusion 338
Acknowledgment 338
References 338
Synchronizing Connection-Oriented Distributed Sensor Network Using Bluetooth Low Energy with Unmodified Android Device 339
Abstract 339
1 Introduction 339
2 Materials and Methods 340
2.1 Distributed Sensor Network Overview 340
2.2 Synchronizing Using BLE 340
2.3 Implementation and Experiment 341
3 Result and Discussion 342
4 Conclusion 342
References 342
Rehabilitation Robotics and Assistive Technology – Redundancy and Modularity in Motor Control: Neuroscience, Prosthetic, Rehabilitative and Assistive Approaches (SS11) 344
A Soft Tendon-Driven Robotic Glove: Preliminary Evaluation 345
1 Introduction 345
2 Design and Control 346
2.1 Controller 347
3 Conclusion 348
References 348
Does Cycling Training Augmented by Functional Electrical Stimulation Impact on Muscle Synergies in Post-acute Stroke Patients? 350
Abstract 350
1 Introduction 350
2 Materials and Methods 351
2.1 Participants and Study Design 351
2.2 Data Analysis and Statistics 351
3 Results 352
4 Discussion 353
References 354
Principal Orientations of the Wrist During ADLs: Towards the Design of a Synergetic Wrist Prosthesis 355
Abstract 355
1 Introduction 355
2 Materials and Methods 356
3 Results 357
4 Discussion 358
References 359
On the Role of Postural Synergies for Grasp Force Generation and Upper Limb Motion Control 360
1 Introduction 361
2 Postural Synergies and Grasp Force Generation 361
3 Synergies in Human Upper Limb Kinematics 362
4 Conclusions and Applications to Robotics 363
References 363
Assessment of Muscular Activation Patterns in 3D Upper Limb Robot-Aided Rehabilitation 365
1 Introduction 365
2 Materials and Methods 366
2.1 The 3D Upper Limb Rehabilitation Platform 366
2.2 Adaptive Control Strategy 367
2.3 Extraction of Muscular Synergies 367
2.4 Experimental Setup 367
3 Results and Discussions 368
4 Conclusion 369
References 369
Guiding the Reorganization of Motor Redundancy for Assistance and Rehabilitation After Spinal Cord Injury 370
Abstract 370
1 Introduction 370
2 Materials and Methods 371
2.1 Learning When a Problem Has Infinite Solutions 371
2.2 Strategy for Adapting the Map 371
2.3 Experimental Methods 372
3 Results 372
References 373
Rehabilitation Robotics and Assistive Technology – Poster Session 375
footPress: An Open-Source MATLAB Toolbox for Analysis of Pedobarography Data 376
1 Introduction 376
2 Methods and Results 377
3 Discussion 378
4 Conclusion 378
References 379
Measurement of Complementary Trunk Movement in Robot-Mediated Upper Limb Rehabilitation 380
1 Introduction 380
2 Measurement Method of Trunk Movement 381
2.1 Body Posture Measurement and Displaying 381
2.2 Estimation of the Contribution of the Trunk 382
3 Evaluation in the UHP Rehabilitation Robot 383
4 Conclusion 383
References 384
Preliminary Study: Effects of Visual Distortion on Standing Balance Motion Amplitude and Visual Dependency on an Unstable Surface 385
Abstract 385
1 Introduction 385
2 Method 386
2.1 Rhythmic Weight-Shifting Session (RWS) 386
2.2 Two-D End-Point Excursion 387
2.3 Setup 387
2.4 Data Analysis 387
3 Results 388
4 Conclusion 388
References 389
Preliminary Development of Two Serious Games for Rehabilitation of Spinal Cord Injured Patients 390
Abstract 390
1 Introduction 390
2 Methods 391
2.1 Participants 391
2.2 Leap Motion Controller and Serious Games 392
2.3 Experimental Procedure 392
3 Results and Discussion 393
4 Conclusion 393
References 393
Upper Limb Recovery Prediction After Stroke Rehabilitation Based on Regression Method 395
Abstract 395
1 Introduction 395
2 Method 396
3 Result and Discussion 396
4 Conclusion 398
References 399
Clinical Trial of the Soft Extra Muscle Glove to Assess Orthotic and Long-Term Functional Gain Following Chronic Incomplete Tetraplegia: Preliminary Functional Results 400
Abstract 400
1 Introduction 400
2 Materials and Methods 401
2.1 Participants 401
2.2 Procedures 401
2.3 Analysis 402
3 Results 402
4 Discussion and Conclusion 403
References 404
EMG Based Bio-Cooperative Direct Force Control of an Exoskeleton for Hand Rehabilitation: A Preliminary Study 405
Abstract 405
1 Introduction 405
2 Materials and Methods 406
2.1 Mechanical System Overview 406
2.2 sEMG Signals Normalization and Force Relationship 406
2.3 sEMG Signals Acquisition and Processing 407
2.4 Control System 407
3 Results 408
4 Discussion 408
5 Conclusion 408
References 409
Textile Based Sensing System for Lower Limb Motion Monitoring 410
1 Introduction 410
2 Materials and Methods 411
2.1 Electrical System Design 411
2.2 Measurement Methods 411
2.3 Data Transfer 412
2.4 Sensor Structure and Textile Integration 412
3 Results and Discussion 413
4 Conclusion 414
References 414
Design and Development of a Web-Based Platform for Comprehensive Autonomous Home Rehabilitation Management in Multiple Sclerosis 415
Abstract 415
1 Introduction 415
2 Materials and Methods 416
2.1 Requirements 416
2.2 Architectural Overview 416
2.3 Data Collection and Results Analysis 417
3 Conclusion 418
References 418
Design, Development and Evaluation of an Experimental Protocol to User Acceptance of WRs 420
Abstract 420
1 Introduction 420
2 Materials 421
3 Methods 421
4 Results 422
5 Discussion 423
6 Conclusion 423
Acknowledgement 423
References 423
Instrumented Balance and Gait Assessment in Patients with Charcot-Marie-Tooth Peripheral Neuropathy 425
Abstract 425
1 Introduction 425
2 Methods 426
2.1 Participants 426
2.2 Motor Assessment 426
2.3 Definition of ITUG Test Phases 426
2.4 Rehabilitation Program 426
2.5 Data Analysis 427
3 Results 427
4 Discussion 428
Acknowledgment 428
References 428
The Effect of Assist-as-Needed Support on Metabolic Cost During Gait Training of Chronic Stroke Patients in LOPESII 430
Abstract 430
1 Introduction 430
2 Methods 431
2.1 Participants 431
2.2 Equipment 431
2.3 Protocol 431
2.4 Data Analysis 432
2.5 Statistical Analysis 432
3 Results 432
4 Discussion 433
5 Conclusion 433
References 433
Effects of Gait Speed on the Margin of Stability in Healthy Young Adults 435
Abstract 435
1 Introduction 435
2 Materials and Methods 436
2.1 Experimental Setup 436
2.2 Procedures 436
2.3 Centre of Mass Trajectory and Velocity Evaluation 436
2.4 Margin of Stability Evaluation 437
3 Results 437
4 Conclusion 438
Acknowledgment 439
References 439
An Integrated Robotic Mobile Platform and Functional Electrical Stimulation System for Gait Rehabilitation Post-Stroke 440
1 Introduction 440
2 Materials and Methods 441
2.1 Robotic Walker Design 441
2.2 Human-Robot Interaction: Admittance Control 441
2.3 Therapeutic Action Control 442
2.4 Wearable IMU motion capture system 442
2.5 Functional Electrical Stimulation 442
3 Results 443
4 Conclusion 444
References 444
EEG Decoding of Overground Walking and Resting, a Feasibility Study 445
Abstract 445
1 Introduction 445
2 Materials and Methods 446
3 Results 447
4 Discussion 447
5 Conclusion 447
References 447
Testing FES of Ankle Plantarflexor and Dorsiflexor Muscles to Support Unilateral Gait Disorders 449
Abstract 449
1 Introduction 449
2 Materials and Methods 450
2.1 FES System 450
2.2 Subjects 450
2.3 Protocol 451
2.4 Data Analysis 451
3 Results 451
4 Conclusion 452
References 453
A Novel Gait Assistance System Based on an Active Knee Orthosis and a Haptic Cane for Overground Walking 454
Abstract 454
1 Introduction 454
2 System Development 455
2.1 Haptic Cane 455
2.2 Active Knee Orthosis 455
3 Experiment and Results 456
4 Conclusion and Future Work 457
References 458
Orchestration of Sensors and Actuators in Neuro-Rehabilitation Experiments and Practice 459
1 Introduction 459
2 Materials and Methods 460
2.1 Architecture 461
3 Results and Discussion 462
4 Conclusion 463
References 463
Evaluation of an Upper-Limb Rehabilitation Robotic Device for Home Use from Patient Perspective 464
1 Introduction 464
2 Materials and Methods 465
2.1 Rehabilitation Robotic Devices 465
2.2 Experimental Protocol 466
2.3 Movement Parameters 466
3 Results 466
4 Conclusion 467
References 468
A Multi-sensor Fusion Approach for Intention Detection 469
1 Introduction 469
2 Methodology 469
3 Experimental Results 472
4 Discussion and Conclusion 472
References 473
Quantitative Muscle Fatigue Assessment in Neuromuscular Disorders: A Pilot Study on Duchenne Pediatric Subjects 474
Abstract 474
1 Introduction 474
2 Methods 475
2.1 Experimental Setup 475
2.2 Experimental Protocol 475
2.3 Data Analysis 476
3 Results 476
4 Conclusion 477
References 478
The Effects of Exoskeleton-Assisted Overground Gait Training in Chronic Stroke – A Pilot Study 479
Abstract 479
1 Introduction 479
2 Materials and Methods 480
2.1 Participants 480
2.2 Intervention 480
2.3 Outcome 480
2.3 Outcome 480
2.4 Analysis 481
3 Results 481
4 Discussion 482
5 Conclusion 482
Acknowledgment 482
References 483
A Tendon-Like Orthosis Actuated by Shape Memory Alloy Wires and Controlled by Myoelectric Signals: A Single-Finger Prototype 484
Abstract 484
1 Introduction 484
2 Materials and Methods 485
2.1 System Description 485
2.2 Characterization of NiTi Wires 485
2.3 Mechanical Design 486
2.4 Driving and Control of the Orthosis 486
3 Results 486
4 Discussion and Conclusions 487
References 487
Preliminary Comparison Study on CoM and CoP Paths Between Healthy Subject and Stroke Patient While Straight Walking 488
Abstract 488
1 Introduction 488
2 Materials and Methods 488
2.1 Experimental Setup 488
2.2 Subjects 489
2.3 CoM and CoP Calculation 489
3 Results and Discussion 489
3.1 CoM and CoP 489
3.2 Normalized Ground Reaction Force (NGRF) 490
4 Conclusion 492
Acknowledgment 492
References 492
Analysis of Shoulder Displacement During Activities of Daily Living and Implications on Design of Exoskeleton Robotics for Assessment 493
Abstract 493
1 Introduction 493
2 Methods 494
2.1 ADL Data 494
2.2 Calculation of Shoulder Displacement and Plotting 495
3 Results 495
4 Conclusion 496
References 497
Rehabilitation of Reaching Movement After Stroke Using a Hybrid Robotic System and Paired with the Motor Intent 498
Abstract 498
1 Introduction 498
2 Materials and Methods 499
2.1 Subjects 499
2.2 Experimental Procedure 499
2.3 Outcome Measures 500
3 Results 501
4 Discussion and Conclusions 501
References 502
PANDORA: Design of a 2-DOF Scapulohumeral Exoskeleton Device to Support Translation of the Glenohumeral Joint 503
Abstract 503
1 Introduction 503
2 Methods 504
3 Results 505
4 Conclusion 506
References 506
BLUE SABINO: Development of a Bilateral Exoskeleton Instrument for Comprehensive Upper-Extremity Neuromuscular Assessment 508
Abstract 508
1 Introduction 508
2 Methods 509
2.1 System Overview 509
2.2 Clinical Survey and Focus Group 509
3 Results 510
3.1 Survey Feedback 510
3.2 Focus Group Feedback 510
3.3 Preliminary Exoskeleton Design 510
4 Conclusion 511
Acknowledgment 511
References 511
An Overground Robotic Exoskeleton Gait Training in Complete Spinal Cord Injured Patients 513
Abstract 513
1 Introduction 513
2 Materials and Methods 513
2.1 Participants 514
2.2 Intervention 514
2.3 Clinical Outcome Measures and Gait Parameters 514
3 Results 515
4 Discussion 515
5 Conclusion 516
References 516
Integration of Step Counters in Neuro-Motion Rehabilitation: From the Selection of the Technologies in a Kit to the Guidelines 518
Abstract 518
1 Introduction 518
2 The Selection of the Technologies in a Kit 518
2.1 Integration of Step Counters on the Codivilla-Spring 518
2.2 Step Counters Monitoring the Gastrocnemius 519
2.3 Pedometers with Accelerometers 521
3 The Proposal of Guidelines and Work in Progress 521
References 521
A Multicenter Randomized Controlled Trial on the Upper Limb Robotic Rehabilitation in Subacute Stroke Using a Set of Robotic and Sensor-Based Devices: Feasibility of the InTeReSt Study 523
Abstract 523
1 Introduction 524
2 Materials and Methods 524
2.1 Study Design 524
2.2 Outcome Measures and Treatment 524
2.3 Statistical Analysis 525
3 Results 525
4 Discussion 526
5 Conclusion 526
References 527
The Role of Cognitive Reserve in the Choice of Upper Limb Rehabilitation Treatment After Stroke. Robotic or Conventional? A Multicenter Study of the Don Carlo Gnocchi Foundation 528
Abstract 528
1 Introduction 529
2 Materials and Methods 529
3 Results 530
4 Discussion 531
5 Conclusion 531
References 531
Transcranial Direct Current Stimulation and Wrist Robot-Assisted Integrated Treatment on Subacute Stroke Patients: A Randomized, Sham-Controlled Trial 533
Abstract 533
1 Introduction 533
2 Methods 534
2.1 Participants 534
2.2 Equipment 535
2.3 Intervention 535
2.4 Clinical Outcome Measures 535
2.5 Kinematic Parameters 535
3 Results 535
4 Discussion and Conclusions 536
References 536
Controlling a Drone by the Tongue – A Pilot Study on Drone Based Facilitation of Social Activities and Sports for People with Complete Tetraplegia 538
Abstract 538
1 Introduction 539
2 Methods 539
3 Results 540
4 Discussion 541
5 Conclusion 541
References 541
High-Intensity Robot-Assisted Hand Training in Individuals with Multiple Sclerosis: A Randomized, Controlled, Single-Blinded Trial 543
Abstract 543
1 Introduction 543
2 Methods 544
2.1 Interventions 544
2.2 Outcomes 544
2.3 Statistical Analysis 545
2.4 Results 545
3 Discussion 545
4 Conclusion 546
Acknowledgment 547
References 547
The Possible Role of Foot Sole Mechanoreceptors for Gait Neurorehabilitation. I – A Review 548
Abstract 548
1 Introduction 548
2 Characteristics of Foot Sole Mechanoreceptors 549
3 Dynamics of Foot Sole Load Receptors 550
4 Conclusion 551
Acknowledgment 551
References 551
The Possible Role of Foot Sole Mechanoreceptors for Gait Neurorehabilitation. II – A Dynamometric Map of the Foot Sole 553
Abstract 553
1 Introduction 553
2 Materials and Methods 554
2.1 Clinical Evaluation 554
2.2 Data Collection and Analysis 554
3 Results 555
4 Conclusion 556
References 556
Inference of Changes in Proprioception Using Kinematics in Robot-Assisted Reach Exercise for Chronic Stroke Survivors 557
Abstract 557
1 Introduction 557
2 Subjects and Methods 558
2.1 Subjects and Methods 558
2.2 Robot Assisted Reach Exercise Procedure 558
2.3 Measurement of Scattering Points During Return Phase 558
3 Results and Discussion 559
References 560
Modeling and Control of Rehabilitation Robotic Device: motoBOTTE 561
1 Introduction 561
2 System Identification 562
3 Convex Modeling and Controller Design 563
4 Simulation and Real-Time Results 564
5 Conclusion 564
References 565
Objective Evaluation of Functional Walking in Stroke Survivors 566
Abstract 566
1 Introduction 566
2 Materials and Methods 567
3 Results 567
4 Conclusion 569
References 570
Neuroscience – Neural Signal Analysis: Novel Approaches to Understanding Brain Diseases (SS13) 571
Effect of Botulinum Toxin Injections on Stretch Reflex Responses of Spastic Elbow Flexors in Hemispheric Stroke Survivors: Case Study 572
Abstract 572
1 Introduction 572
2 Materials and Method 573
2.1 Subject 573
2.2 Signal Acquisition 573
2.3 Signal Processing 574
3 Results and Discussion 574
4 Conclusion 575
References 576
A Novel Brain Functional Connectivity Measurement Based on Phase Similarity 577
1 Introduction 577
2 Method 578
3 Results 578
4 Conclusion 580
References 580
Analysis of Information Flux in Alzheimer's Disease and Mild Cognitive Impairment by Means of Graph-Theory Parameters 582
1 Introduction 582
2 Materials and Methods 583
2.1 Subjects 583
2.2 EEG Recording 583
2.3 Phase-Slope Index (PSI) 583
2.4 Graph Theory Parameters 584
3 Results and Discussion 584
References 585
Characterizing Non-stationarity in Alzheimer's Disease and Mild Cognitive Impairment by Means of Kullback-Leibler Divergence 587
1 Introduction 587
2 Materials and Methods 588
2.1 Subjects 588
2.2 Electroencephalographic Recordings 588
2.3 Continuous Wavelet Transform 588
2.4 Kullback-Leibler Divergence 588
3 Results and Discussion 589
References 591
Analysis of Spontaneous EEG Activity in Alzheimer's Disease Patients by Means of Multiscale Spectral Entropy 592
1 Introduction 592
2 Materials and Methods 593
2.1 Materials 593
2.2 Methods 593
3 Results and Discussion 594
References 596
Information-Theoretic Characterization of the Neural Mechanisms of Active Multisensory Decision Making 597
Abstract 597
1 Introduction 598
2 Materials and Methods 598
2.1 Experimental Procedures 598
2.2 Data Analysis 599
3 Results 600
4 Discussion 600
References 601
Neuroscience – New Frontiers in Movement Analysis: From Assessment To Rehabilitation (SS14) 602
Movement and Numbers: The Mathematics Behind Motor Actions 603
Abstract 603
1 Introduction 603
2 Materials and Methods 604
3 Results 604
3.1 The Golden Ratio in Our Steps 604
3.2 Fibonacci Numbers Grasped in Our Hands 604
3.3 The Two-Third Power Law for Curvilinear Movements 605
3.4 Gravitational Newton’s Law is Internalized in Our Neuromotor Control 605
4 Discussion 606
5 Conclusion 606
References 606
Exergame for Continuous and Transparent Monitoring of Handgrip Strength and Endurance 608
Abstract 608
1 Introduction 608
2 Materials and Methods 609
2.1 Apparatus 609
2.2 Protocol 609
2.3 Exergame Design 610
2.4 Data Collection 610
2.5 Data Analysis 611
3 Results 611
4 Conclusion 611
References 611
Wearable Devices and Virtual Reality for Neurorehabilitation: An Opportunity for Home Rehabilitation 613
Abstract 613
1 Introduction 613
2 Materials and Methods 614
3 Results 614
4 Discussion 615
5 Conclusion 616
References 616
The Development of Gait Analysis in Developmental Age 618
Abstract 618
1 Introduction 618
2 Materials and Methods 618
3 Results 619
4 Discussion 619
5 Conclusion 620
Acknowledgment 620
References 621
Assessing Reach-to-Grasp Movements in the Stroke Unit: Validity of an Inertial Sensor-Based Approach 622
Abstract 622
1 Introduction 622
2 Materials and Methods 623
3 Results 625
4 Discussion and Conclusion 625
References 626
Neuroscience – Modeling Joint Neuromechanics and Its Applications: System Identification Approach (SS15) 627
Closed-Loop Identification to Unravel the Way the Human Nervous System Controls Bodily Functions 628
Abstract 628
1 Introduction 628
2 Materials and Methods 629
3 Results 630
4 Discussion and Conclusion 631
References 632
Reflex Mechanisms in CRPS-Related Dystonia 633
Abstract 633
1 Introduction 633
2 Materials and Methods 633
3 Results 634
3.1 Fixed Dystonia Cannot Be Explained Through Hyperreflexia of Muscle Spindle Feedback 634
3.2 Fixed Dystonia Can Be Explained Through Aberrant Golgi Tendon Organ Feedback 634
3.3 Patients with Fixed Dystonia Have Reduced Inhibitory Golgi Tendon Organ Feedback 635
3.4 Patients with Fixed Dystonia Bias Sensory Weighting of Force and Position Toward Position 635
4 Discussion 635
5 Conclusions 636
References 636
Correlation Between Ankle Impedance and EMG Signals 638
Abstract 638
1 Introduction 638
2 Materials and Methods 639
2.1 Experimental Protocol 639
2.2 Impedance Estimation 639
2.3 Correlation Between Ankle Impedance and EMG 640
3 Results 641
4 Discussion 641
5 Conclusion 641
References 642
Short Segment and Parameter Varying Identification of Time-Varying Dynamic Joint Stiffness 643
Abstract 643
1 Introduction 643
2 Methods 643
2.1 Theory 643
2.2 Experiment 645
3 Results 645
4 Discussion 647
References 647
Applications of System Identification Techniques in Characterizing and Tracking Neuromuscular Abnormalities 648
Abstract 648
1 Introduction 648
2 Methods 649
2.1 Subjects 649
2.2 Experiments 649
2.3 The Parallel-Cascade System Identification Model 650
3 Results 650
3.1 Quantification of Neuromuscular Abnormalities 650
3.2 Natural History of Neuromuscular Abnormalities 651
3.3 Therapeutic Effects of Robotic Locomotor Training 651
4 Discussion 651
References 652
A Biomechanical Model of the Shoulder Including Acromioclavicular Joint Ligaments: Preliminary Results 653
Abstract 653
1 Introduction 653
2 Methods 654
2.1 Musculoskeletal Upper Limb Model 654
2.2 Acromioclavicular Joint Ligaments 654
3 Results 655
4 Discussion and Conclusions 656
References 656
Neuroscience – Machine Learning in NeuroRehabilitation (SS16) 657
Wearable Sensors for Patients 658
1 Introduction 658
2 KneeHapp 658
3 HipRapp 660
4 Conclusion 661
References 661
A Preliminary Study on Locomotion Mode Recognition with Wearable Sensors 662
Abstract 662
1 Introduction 662
2 Methods 663
2.1 Wearable Sensors 663
2.2 Experimental Protocol 663
2.3 Locomotion Mode Recognition Strategy 664
3 Results 664
4 Discussion and Conclusion 665
References 666
An Assistive Ankle Joint Exoskeleton for Gait Impairment 667
Abstract 667
1 Introduction 667
2 Methodology 668
2.1 System Architecture 668
2.2 Electronics and Processing 668
2.2 Electronics and Processing 668
2.3 Experiment 669
2.4 Control 669
3 Results 670
4 Discussion 670
5 Conclusion 670
References 671
Identification of Spatial-Temporal Muscle Synergies from EMG Epochs of Various Durations: A Time-Warped Tensor Decomposition 672
Abstract 672
1 Introduction 672
2 Materials and Methods 673
2.1 Experimental Procedures 673
2.2 Data Analysis 674
3 Results 675
4 Discussion 675
References 676
Prediction of Patient-Reported Physical Activity Scores from Wearable Accelerometer Data: A Feasibility Study 677
1 Introduction 677
2 Materials and Methods 678
3 Results 679
4 Discussion 680
5 Conclusions 680
References 681
Neuroscience – Non-Invasive Stimulation at Different Level of Nervous System in Neurorehabilitation (SS17) 682
Non-invasive Cerebral and Non-cerebral Therapeutic Stimulation in Neurology 683
Abstract 683
1 Introduction 683
2 Stimulation Modalities and Their Application in Neurological Disorders 683
3 Conclusion 684
References 684
Repetitive Transcranial Magnetic Stimulation (rTMS) for the Improvement of Upper Limb Function in Stroke Patients 686
Abstract 686
1 Introduction 686
2 Methods 687
3 Results 687
4 Conclusion 688
References 689
Targeting the Endogenous Pain Modulation System 690
Abstract 690
1 Introduction 690
2 Materials and Methods 691
3 Results 691
4 Discussion 692
5 Conclusion 693
Acknowledgment 693
References 693
Neurovibration in Neurorehabilitation 694
Abstract 694
1 Introduction 694
2 Segmental Muscle Vibration 694
2.1 Parameters of Stimulation 694
2.2 Clinical Application 695
2.3 Future Steps 695
3 Conclusion 695
References 696
Neuroscience – Cognitive Approaches for Rehabilitation of Patients with Neurological Disorders (SS18) 697
Individual Alpha Peak Frequency’s Dataset Through Neurofeedback’s Protocol 698
Abstract 698
1 Introduction 698
2 Protocol Proposal 699
3 Study 699
4 Results 700
5 Conclusion 701
References 701
Monitoring Home-Based Activity of Stroke Patients: A Digital Solution for Visuo-Spatial Neglect Evaluation 703
1 Introduction 703
2 Methods 704
2.1 Digital Albert's Test 704
2.2 Digital Line Bisection Test 704
2.3 Statistical Study 705
3 Conclusion 707
References 707
Depression Modulates Attentional Processing After Stroke 709
Abstract 709
1 Introduction 709
2 Methods 710
2.1 Patients 710
2.2 Set-up and Experimental Protocol 710
2.3 Outcome measures and analysis 711
3 Results 711
4 Discussion and Conclusion 712
Acknowledgments 712
References 712
Preliminary Investigation of a Newly Developed Tele-Rehabilitation Program for People Living with MCI Condition 714
Abstract 714
1 Introduction 714
2 Materials and Methods 715
2.1 Participants 715
2.2 Tele-R Program: GOAL-App 715
3 Results 716
4 Discussion 717
References 717
An Immersive Cognitive Rehabilitation Program: A Case Study 718
Abstract 718
1 Introduction 718
2 VR System 719
2.1 VR Software 719
2.2 VR Hardware 720
3 Single Case Study 720
3.1 Experimental Protocol 720
3.2 Results 721
3.3 Discussion 721
4 Conclusion 722
Acknowledgment 722
References 722
Neuroscience – Poster Session 723
sEMG Frequency Analysis to Evaluate Changes in the Recruitment of Fast-Twitch Muscles Fibers During Elbow Flexion Motions 724
1 Introduction 724
2 Materials and Methods 725
2.1 Experimental Protocol 725
2.2 sEMG Recording 725
2.3 Processing 725
2.4 Frequency Statistical Comparison 726
2.5 Participants 726
3 Results 726
4 Discussion 726
5 Conclusion 727
References 728
Tuning of Homologous Muscle Coupling During Bimanual Steering Tasks in Slow Speed: A Pilot Study 729
Abstract 729
1 Introduction 729
2 Method 730
2.1 Subjects 730
2.2 Tasks 730
2.3 Measurements 731
2.4 Coherence Computation 731
3 Results 732
4 Conclusion 732
Acknowledgment 732
References 733
Resting-State Alpha-Band Functional Connectivity Predicts Implicit Motor Adaptation in a Serial Reaction Time Task 734
Abstract 734
1 Introduction 734
2 Methods 735
2.1 Task 735
2.2 EEG Recording 735
2.3 Correlations 736
3 Results and Discussion 736
4 Conclusion 737
References 737
Exploring the EEG Signatures of Musculoskeletal Pain 739
Abstract 739
1 Introduction 739
2 Methods 740
2.1 Participants 740
2.2 Experimental Protocol 740
2.3 Data Acquisition 740
2.4 Data Analysis 741
2.5 Statistics 741
3 Results 741
4 Discussion 742
5 Conclusion 742
References 742
Exploring Bands Suppression in Artificial Frames for Motor-Imagery Brain Computer Interfaces 744
Abstract 744
1 Introduction 744
2 Materials and Methods 745
2.1 Data and Paradigm 745
2.2 Power Suppression 745
3 Results 746
4 Discussion 746
5 Conclusion 747
References 748
HAIDA: Biometric Technological Therapy Tools for Neurorehabilitation of Cognitive Impairment 749
Abstract 749
1 Introduction 749
2 Music Therapy 750
3 HAIDA 751
4 Discussion and Conclusion 751
References 752
Improving Postural Stability by Means of Novel Multimodal Biofeedback System Based on an Inertial Measurement Unit 754
Abstract 754
1 Introduction 754
2 Methods 755
3 Results 757
4 Conclusions and Work in Progress 757
References 757
The Text Neck: Can Smartphone Apps with Biofeedback Aid in the Prevention of This Syndrome 759
Abstract 759
1 Introduction 759
2 Purpose 760
2.1 The Idea 760
2.2 The Proposal 760
2.3 Objective 761
3 Protocol and Results 761
4 Conclusion 762
Acknowledgment 762
References 762
Functional and Corticomuscular Changes Associated with Early Phase of Motor Training 764
Abstract 764
1 Introduction 764
2 Materials and Methods 765
2.1 Participants 765
2.2 Signal Acquisitions 765
2.3 Experimental Setup 765
2.4 Data Analysis 765
2.5 Statistical Analysis 766
3 Results 766
4 Discussion 767
5 Conclusion 767
References 767
The Impact of a Connectogram Based Visualization of the Motor Network in a Case of Cervical Dystonia: Role in the Clinical Interpretation and Therapeutic Approach 769
Abstract 769
1 Introduction 769
2 Methods 770
2.1 Single-Case Study 770
2.2 MRI Acquisition 770
2.3 MRI Preprocessing 770
2.4 Connectogram Generation 771
3 Results 771
4 Discussion and Conclusions 771
References 772
The Effect of Trunk Training on Trunk Control, Standing Balance and Gait: A Systematic Review and Meta-Analysis 774
Abstract 774
1 Introduction 774
2 Materials and Methods 774
2.1 Data Collection 774
2.2 Risk of Bias 775
2.3 Data Synthesis 775
3 Results 775
3.1 Study Characteristics and Risk of Bias 775
3.2 Synthesis of Results 776
4 Discussion 777
5 Conclusion 777
References 778
Trunk Kinematics During Walking After Sub-acute Stroke 779
Abstract 779
1 Introduction 779
2 Materials and Methods 779
2.1 Participants 779
2.2 Setting 780
2.3 Outcome Measures 780
2.4 Statistical Analysis 780
3 Results 781
4 Discussion 782
5 Conclusions 782
Acknowledgment 782
References 782
Simple Tool for Functional and Physiological Stroke Patients Assessment 784
1 Introduction 784
2 Materials and Methods 785
3 Results and Discussion 786
4 Conclusion 787
References 787
Postural Sway Responses to 3D Virtual Dynamic Visual Stimulation in Post-stroke patients 788
Abstract 788
1 Introduction 788
2 Methods 789
2.1 Subjects 789
2.2 Equipment 789
2.3 Experimental Procedure 789
2.4 Data Collection and Analysis 790
3 Results 790
4 Discussion 791
5 Conclusion 791
References 791
Effect of Motor Nerve on Lower Limb Coordination Variability During High-Heel and Barefoot Gait 793
Abstract 793
1 Introduction 793
2 Methods 793
3 Result 795
4 Conclusion 795
Acknowledgment 795
Reference 795
The Neural Effects of Extended Practice and the Benefits of a Nap 796
Abstract 796
1 Introduction 796
2 Materials and Methods 797
2.1 Experimental Design 797
2.2 Kinematic Analysis 797
2.3 EEG Analysis 798
3 Results 798
4 Discussion 799
5 Conclusion 799
References 799
Testing the Ability to Represent and Control a Contact Force 800
Abstract 800
1 Introduction 800
2 Materials and Methods 801
2.1 Experimental Set-up 801
2.2 Task 801
2.3 Data Analysis 802
3 Results 803
4 Conclusion 804
References 804
Model-Based Estimation of Individual Muscle Force Given an Incomplete Set of Muscle Activity Measurements 805
1 Introduction 805
2 Materials and Methods 806
2.1 Model 806
2.2 Muscle Force Estimation 806
2.3 Validation 807
3 Results 808
4 Discussion and Conclusion 808
References 809
PhysioTest: A Dedicated Module to Collect Data from Physiotherapy Assessments in Neuromuscular Diseases 810
Abstract 810
1 Introduction 810
2 Materials and Methods 811
2.1 The Health360 Platform 811
2.2 System Architecture 811
2.3 The PhysioTest Module 811
3 Results 813
4 Discussion 813
5 Conclusion 813
References 813
Smart Objects in Pediatric Rehabilitation: Some Preliminary Results from a Research Protocol 815
Abstract 815
1 Introduction 815
2 Materials and Methods 816
3 Results 817
4 Discussion 818
5 Conclusion 818
Acknowledgments 818
References 818
Analysis of Biofeedback Effects in Parkinson’s Disease at Multiple Time-Scales 820
Abstract 820
1 Introduction 820
2 Materials and Methods 820
3 Results 821
4 Discussion 822
5 Conclusion 823
References 823
Proposal of a Method Supporting the Interpretation of Gait Analysis Kinematic Data 824
Abstract 824
1 Introduction 824
2 Materials and Methods 825
3 Results 826
4 Discussion 827
5 Conclusions 828
References 828
A Preliminary Study on Quantitative Assessment of Functional Tasks on Stroke Patients Using A Novel Wearable Platform 829
Abstract 829
1 Introduction 829
2 Materials and Methods 830
2.1 CAMLIN ARC-Intellicare Platform (ARC) 830
2.2 Study Design 830
2.3 Data Analysis 831
3 Results 831
4 Discussion 832
5 Conclusion 833
References 833
Transcranial Direct-Current Stimulation Combined with Attention to the Paretic Hand Improves Hand Performance in Stroke Patients: A Double-Blind, Sham-Controlled Study 834
Abstract 834
1 Introduction 834
2 Materials and Methods 835
3 Results 836
4 Discussion 837
5 Conclusion 838
References 838
Voluntary Motor Imagery Demonstrated in Electroencephalography and Electromyography 839
Abstract 839
1 Introduction 839
2 Materials and Methods 839
2.1 Participants 839
2.2 Environment 840
2.3 Apparatus 840
2.4 Analysis 840
2.5 Task 841
3 Results and Discussion 841
4 Conclusion 842
References 843
Fatigue Compensating Muscle Excitability Enhancement by Transcranial Magnetic Stimulation: A Case Report 844
Abstract 844
1 Introduction 844
2 Materials and Methods 845
2.1 The Subject 845
2.2 Experimental Procedures 845
2.3 Movement Related Dynamic Task 845
2.4 Transcranial Magnetic Stimulation (TMS) 845
2.5 Electromyography (EMG) Recordings 846
3 Results 847
4 Conclusion and Discussion 847
Acknowledgment 848
References 848
Possible Effect of the Trigeminal Nerve Stimulation on Auditory Event-Related Potentials 849
Abstract 849
1 Introduction 849
2 Materials and Methods 850
3 Results 851
4 Discussion 851
5 Conclusion 852
References 852
Neuro Rehabilitation System Through Virtual Reality, Music and Fragrance Therapy 853
1 Introduction 853
2 The Neuro Rehabilitation System VR 854
2.1 Multi-Fragrance Olfactory Display (MFOD) 854
2.2 Multisensory Scenario for Rehabilitation 854
3 Users Study with Healthy People 855
4 Patient's Test 856
5 Discussion and Conclusion 856
References 857
M1 Inhibition Dependency on Slowing of Muscle Relaxation After Brief and Fast Fatiguing Repetitive Movements: Preliminary Results 858
Abstract 858
1 Introduction 858
2 Methods 859
2.1 Participants 859
2.2 Procedure and Analysed Variables 859
2.3 Statistical Analyses 860
3 Results 860
4 Conclusion 861
Acknowledgment 861
References 862
Day Program for Patients with Brain Injury with Constraint Induced Movement Therapy for Upper and Lower Limbs 863
Abstract 863
1 Introduction 863
2 Methods and Design 863
3 Results and Conclusion 864
4 Discussion 865
5 Conclusion 865
References 865
Changes in Excitability at the Level of M1, Spinal Cord and Muscle During 3 Minutes of Finger Tapping at the Maximal Possible Rate 866
Abstract 866
1 Introduction 866
2 Methods 867
2.1 Participants 867
2.2 Procedure and Analysed Variables 867
2.3 Data Processing 867
2.4 Statistical Analyses 868
3 Results 868
4 Conclusion 870
References 870
Assessment of Plastic Changes Following Bio-Robotic Rehabilitation of Spinal Cord Injured Individuals – A Protocol Proposal 871
Abstract 871
1 Introduction 871
2 Materials and Methods 872
3 Results 872
3.1 Descending Pathways: Attempted Contraction 872
3.2 Ascending Pathways: Somatosensory Evoked Potentials 873
3.3 Intrinsic Inhibitory Spinal Circuits: Conditioned H-Reflexes 873
3.4 Functional Assessments 873
4 Discussion 873
5 Conclusion 874
References 874
Prefrontal Activity Evoked by Transcranial Magnetic Stimulations (TMS) Is Enhanced by Observing the Behavior of Others 876
1 Introduction 876
2 Materials and Methods 877
2.1 Experimental Participants 877
2.2 TMS and fNIRS Measurement 877
2.3 Experimental Scheme 877
2.4 Results and Discussions 878
3 Conclusion 879
References 880
Temporal Categorization of Upper Limb Muscle’s EMG Activity During Reaching and Grasping 881
Abstract 881
1 Introduction 881
1.1 Materials and Methods 882
1.2 Results 883
2 Conclusion 884
References 884
Brain Machine Interfaces (BMI) – Multimodal Neural Interfaces for Rehabilitation and Assistance of People with Disability (SS19) 885
An All-in-One BCI-Supported Motor Imagery Training Station: Validation in a Real Clinical Setting with Chronic Stroke Patients 886
Abstract 886
1 Introduction 886
2 Methods 887
2.1 The Promotœr 887
2.2 Participants, Clinical Evaluation 888
2.3 Neurophysiological Evaluation 888
2.4 Statistical Analysis 888
3 Results 888
4 Conclusion 889
Acknowledgment 889
References 890
Monitoring of Lifestyle and Cognitive Status in Seniors at Risk of Dementia: The SmartAging Program 891
Abstract 891
1 Introduction 892
2 Methods 892
3 Results 894
4 Conclusion 894
Acknowledgment 894
References 894
The Efficacy of a Real-Time vs an Offline Associative Brain-Computer-Interface 896
Abstract 896
1 Introduction 896
2 Methods 897
2.1 Participants 897
2.2 Apparatus and Instrumentation 897
2.3 Experimental Procedures 898
3 Results 898
4 Discussion and Conclusions 899
Acknowledgment 899
References 899
Designing Hybrid Brain-Machine Interfaces to Detect Movement Attempts in Stroke Patients 900
1 Introduction 900
2 Methods 901
2.1 Patients and Experimental Protocol 901
2.2 Detection of Movement Attempts 901
2.3 Evaluation of the Activity to Detect the Movement Attempts 902
3 Results 902
4 Discussion and Conclusion 903
References 904
Brain-Machine Interface and Functional Electrical Stimulation for Cycling Increases Corticospinal Excitability in a Stroke Patient: A Case Study 905
Abstract 905
1 Introduction 905
2 Methods 906
2.1 Experimental Protocol 906
2.2 Motor Evoked Potentials Protocol 907
3 Results 907
4 Conclusions 908
References 908
Neural Biomarkers of Functional Recovery in Patients with Injured Motor System 910
Abstract 910
1 Introduction 910
2 Materials and Methods 911
3 Results 912
4 Discussion 912
5 Conclusions 913
References 913
Bipolar Filters Improve Usability of Brain-Computer Interface Technology in Post-stroke Motor Rehabilitation 914
Abstract 914
1 Introduction 914
2 Materials and Methods 915
2.1 Data Collection 915
2.2 Data Analysis 915
3 Results 916
4 Discussion 917
5 Conclusion 917
References 917
Brain Machine Interfaces (BMI) – Application of Functional Electrical Stimulation (FES) to Lower Limb Movement Assistance (SS20) 918
Towards the Development of Full Motion FES Rowing with Accurate Ergometry: RowStim IV 919
Abstract 919
1 Introduction 919
2 Methods 920
2.1 Trunk Rotation and the Prototype RowStim IV 920
2.2 Error Analysis for the C2 Performance Monitor 921
3 Discussion 922
References 923
Electrotactile Feedback for FES-Assisted Swimming 924
1 Introduction 924
2 Methods 925
3 Preliminary Experimental Results 926
4 Conclusion 927
References 927
FES-Based Control of Knee Joint to Reduce Stance Phase Asymmetry in Post-stroke Gait: Feasibility Study 928
Abstract 928
1 Introduction 928
2 Materials and Methods 929
3 Results 930
4 Conclusion 932
References 932
Cortically Controlled FES for Restoration and Rehabilitation of Function Following SCI in Rats 933
Abstract 933
1 Introduction 933
2 Materials and Methods 934
2.1 Experimental Preparation 934
2.2 Data Analysis 934
3 Results 935
4 Conclusions and Ongoing Research 935
Acknowledgment 936
References 936
Cycling Induced by Functional Electrical Stimulation in Stroke Patients: A Systematic Review and a Meta-analysis of the Evidence 937
Abstract 937
1 Introduction 937
2 Materials and Methods 937
2.1 Criteria for Considering Studies for This Review 937
2.2 Search Methods for Identification of Studies 938
2.3 Data Collection and Analysis 938
3 Results 939
4 Conclusions 940
References 940
Experimental Results and Design Considerations for FES-Assisted Transfer for People with Spinal Cord Injury 941
1 Introduction 941
2 Materials and Methods 942
2.1 Subjects 942
2.2 Experimental Set-Up 942
2.3 Control Strategy 943
3 Results and Discussion 943
4 Conclusion 944
References 944
Brain Machine Interfaces (BMI) – Uncovering Neural Mechanisms of Post-stroke Recovery Using Clinical Imaging Tools (SS21) 946
Transcranial Direct Current Stimulation Reduces Secondary White-Matter Degradation After Stroke 947
Abstract 947
1 Introduction 947
2 Methods 948
3 Results and Conclusion 948
References 950
Resting-State Functional Connectivity in Stroke Patients After Upper Limb Robot-Assisted Therapy: A Pilot Study 951
Abstract 951
1 Introduction 951
2 Materials and Methods 952
2.1 Participants and Intervention 952
2.2 MRI Acquisition 952
2.3 MRI Analysis 953
3 Results 953
3.1 Interhemispheric M1 Connectivity 953
3.2 Global Network Changes 954
4 Discussion and Conclusion 954
References 955
On the Potential of EEG Biomarkers to Inform Robot-Assisted Rehabilitation in Stroke Patients 956
Abstract 956
1 Introduction 956
2 EEG Topographies Are Robust and Sensitive Biomarkers Over Repeated Sessions 957
3 EEG Topographies Highlight a Cortical Re-organization Correlating with Motor Recovery 958
4 Conclusion 959
References 959
Brain Machine Interfaces (BMI) – Pattern Recognition Techniques for Assessment, Training and Rehabilitation (SS22) 961
Neuro-Rehabilitation and Neuro-Empowerment by Wearable Devices. Applications to Well-Being and Stress Management 962
Abstract 962
1 Introduction 962
2 Materials and Methods 963
2.1 Sample 963
2.2 Procedure 963
3 Results 964
4 Discussion 964
5 Conclusion 965
References 965
Neuroprosthetic Haptic Interface and Haptic Stimulation: Neuromorphic Microtransduction and EEG Alpha Variations 966
Abstract 966
1 Introduction 966
2 Materials and Methods 967
2.1 Behavioral and Psychophysiological Testing Sessions 967
2.2 Statistical Data Analysis 968
3 Results 968
4 Discussion and Conclusion 969
Acknowledgment 969
References 970
A Machine Learning Approach for Epileptic Seizure Prediction and Early Intervention 971
Abstract 971
1 Introduction 971
2 Materials and Methods 972
2.1 Data 972
2.2 ECG Signal Analysis 972
2.3 Machine Learning Approach 972
2.4 Performance Evaluation 973
3 Results 973
4 Discussion 974
5 Conclusion 974
References 975
Classification of Healthy Subjects and Alzheimer’s Disease Patients with Dementia from Cortical Sources of Resting State EEG Rhythms: Comparing Different Approaches 976
Abstract 976
1 Introduction 977
2 Methods 977
3 Results 978
4 Conclusions 979
References 980
Bioelectrical Correlates of Emotional Changes Induced by Environmental Sound and Colour: From Virtual Reality to Real Life 981
Abstract 981
1 Introduction 981
2 RESCAP: Emotional Test 982
3 Preliminary Results 982
4 Conclusion and Future Works 984
Acknowledgment 984
References 984
Brain Machine Interfaces (BMI) – Array Electrode for the Assessment of Muscle Functions When, Where and Why? (SS24)
Wearable System for the Gait Assessment in Stroke Patients 986
Abstract 986
1 Introduction 986
2 Instrumentation 987
3 Results 988
4 Conclusion 989
Acknowledgment 990
References 990
Eliminating the Bottleneck of sEMG Recordings: Array Electrodes 991
Abstract 991
1 Introduction 991
2 The Issues of Electrode Size, Spatial Sampling Frequency and Grid Size 992
3 The Issue of Noise 993
4 Applications 993
5 Conclusion 995
References 995
Muscle Fatigability: What, Why and How It Constrains Motor Performance 996
Abstract 996
1 Introduction 996
2 Motor Unit Behaviour During Sustained Activity 996
3 Potential Neural Mechanisms Limiting the Time to Task Failure 997
4 The Contribution of More Functional Approaches 998
5 Conclusion 998
Acknowledgment 999
References 999
EMG Map for Designing the Electrode Shape for Functional Electrical Therapy of Upper Extremities 1000
Abstract 1000
1 Introduction 1000
2 Methods and Material 1001
2.1 Subjects 1001
2.2 Instrumentation 1001
3 Results 1002
4 Conclusion 1002
Acknowledgment 1003
References 1003
Advanced Signal Processing Techniques for Multi-channel EMG – On the Need for Motor Unit Action Potential Compensation 1005
Abstract 1005
1 Introduction 1005
2 Muscle Excitation Estimation 1006
2.1 RMS Estimate 1006
2.2 CKC Estimate 1007
2.3 Global Activity Index 1007
2.4 Synthetic hdEMG Signals 1007
3 Results 1008
4 Discussion 1008
References 1009
Surface Electromyography Meets Biomechanics or Bringing sEMG to Clinical Application 1010
Abstract 1010
1 Introduction 1010
2 sEMG Meets Biomechanics: Effect of Contraction Type and Movement Velocity on sEMG 1011
3 Clinical Application: Identification of Spasticity by Combining Muscle Biomechanics with sEMG 1012
4 Conclusion 1013
References 1013
A Novel Physiologically-Inspired Method for Myoelectric Prosthesis Control Using Pattern Classification 1014
Abstract 1014
1 Introduction 1014
2 Materials and Methods 1015
2.1 Novel Classification Approach 1015
2.2 Experimental Evaluation 1016
3 Results 1016
4 Discussion 1017
References 1017
Brain Machine Interfaces (BMI) – Reshaping Perception and Action in Human-Machine Interfaces (SS25) 1019
Integration of Kinesthetic and Tactile Information for Manipulation and Grip Force Control During Force-Field Adaptation 1020
Abstract 1020
1 Introduction 1020
2 Materials and Methods 1021
3 Results 1022
4 Discussion 1022
5 Conclusion 1023
References 1024
Characterization of Neural Tuning: Visual Lead-in Movements Generalize in Speed and Distance 1025
Abstract 1025
1 Introduction 1025
2 Materials and Methods 1026
2.1 Experimental Design 1026
2.2 Analysis 1027
3 Results 1027
4 Discussion 1027
References 1028
Designing Visual Feedback to Reshape Muscle Coordination 1029
Abstract 1029
1 Introduction 1029
2 Materials and Methods 1030
2.1 Experimental Design 1030
2.2 Determination of Cursor Visibility ( /alpha Level) 1030
3 Results 1031
4 Discussion 1032
5 Conclusion 1033
References 1033
Investigating the Relationship Between Assisted Driver's SoA and EEG 1034
1 Introduction 1034
2 Method 1034
2.1 Driving Condition 1035
2.2 Data Acquisition and Analysis 1035
2.3 SoA Rating 1036
2.4 Experimental Setup 1036
2.5 Participants 1036
3 Results 1037
3.1 SoA Rating 1037
3.2 Power of Alpha Band 1037
References 1038
The Interaction Between Position Sense and Force Control 1039
Abstract 1039
1 Introduction 1039
2 Materials and Methods 1040
2.1 Experimental Set-up 1040
2.2 Protocol 1040
2.3 Subjects 1041
2.4 Data Analysis 1041
3 Results 1042
4 Conclusion 1042
References 1043
Effects of Force-Field Adaptation on Neural Activation and Resting-State Functional Connectivity 1044
1 Introduction 1044
2 Methods 1045
2.1 MR-SoftWrist 1045
2.2 Experimental Protocol 1045
2.3 Data Analysis 1046
3 Results 1047
3.1 Behavioral Metrics 1047
3.2 fMRI Analysis 1047
4 Conclusions 1048
References 1048
Brain Machine Interfaces (BMI) – Brain-State Dependent Non-invasive Neuromodulation of Human Cortex (SS26) 1049
Brain-State Dependent Stimulation in Human Motor Cortex for Plasticity Induction Using EEG-TMS 1050
Abstract 1050
1 Introduction 1050
2 Methods and Materials 1051
2.1 Subjects 1051
2.2 Experimental Set-Up 1051
3 Results 1052
4 Conclusions 1053
References 1053
Brain-State Dependent Peripheral Nerve Stimulation for Plasticity Induction Targeting Upper-Limb 1054
Abstract 1054
1 Introduction 1054
2 Methods 1055
2.1 Participants 1055
2.2 Experimental Procedures 1055
2.3 Interventions 1055
3 Results 1056
4 Discussion and Conclusions 1057
Acknowledgements 1057
References 1058
Brain State-Dependent Peripheral Nerve Stimulation for Plasticity Induction in Stroke Patients 1059
Abstract 1059
1 Introduction 1059
2 Methods 1060
2.1 Movement-Related Cortical Potentials (MRCPs) 1060
2.2 Recording and Stimulation 1061
2.3 The Associative and Sham Interventions 1061
3 Results 1061
4 Discussion 1061
5 Conclusion 1062
Acknowledgements 1062
References 1063
Repeated Directional TMS Paired with Motor Intentions – Different Responses of Two Sets of Interneuron Circuits? 1064
Abstract 1064
1 Introduction 1064
2 Methods 1065
2.1 Subjects 1065
2.2 Apparatus 1065
2.3 Paradigm 1065
3 Results 1065
4 Conclusions 1066
Acknowledgment 1066
References 1067
Brain State-Dependent Stimulation Combining a BCI with a Hybrid Robotic System for Modulating Cortical Excitability 1068
Abstract 1068
1 Introduction 1068
2 Methods 1069
2.1 Participants 1069
2.2 System Configuration 1069
2.3 Interventional Procedure 1069
2.4 Assessment Procedure 1069
3 Results 1070
4 Conclusion 1071
References 1071
Alpha-Synchronized Stimulation of the Dorsolateral Prefrontal Cortex (DLPFC) in Major Depression: A Proof-of-Principle EEG-TMS Study 1073
Abstract 1073
1 Introduction 1073
2 Methods and Materials 1074
2.1 Subjects 1074
2.2 Experimental Set-Up and Design 1074
3 Results 1075
4 Conclusions 1075
References 1076
Brain Machine Interfaces (BMI) – Poster Session 1077
Modulation of Functional Connectivity Evaluated by Surface EEG in Alpha and Beta Band During a Motor-Imagery Based BCI Task 1078
1 Introduction 1078
2 Materials and Methods 1079
2.1 Participants and EEG Recording 1079
2.2 Description of the Task 1080
2.3 Feature Extraction 1080
3 Results 1081
4 Conclusion 1081
References 1081
Review on Tremor Suppression Using Afferent Electrical Stimulation 1083
Abstract 1083
1 Introduction 1083
2 Materials and Methods 1084
3 Results 1084
3.1 Tremorogenic Input to Muscles and Tremor Suppression Models 1084
3.2 Stimulation Strategies 1085
3.3 Tremor Suppression Results 1085
4 Discussion and Future Direction 1086
References 1086
Feasibility of Brain-Computer Interface Triggered Functional Electrical Stimulation and Avatar for Motor Improvement in Chronic Stroke Patients 1088
Abstract 1088
1 Introduction 1088
2 Materials and Methods 1089
3 Results 1090
4 Discussion 1091
References 1091
Sensory Feedback with a Hand Exoskeleton Increases EEG Modulation in a Brain-Machine Interface System 1092
1 Introduction 1092
2 Materials and Methods 1093
2.1 Experimental Design 1093
2.2 Processing of Recorded Data 1094
3 Results 1094
4 Discussion 1094
5 Conclusions 1095
References 1095
An Examination of Stimulation Timing Patterns for Mobile FES Cycling Under Closed-Loop Control of Low Cycling Speed 1097
Abstract 1097
1 Introduction 1097
2 Method 1098
3 Result 1099
4 Discussion 1100
References 1100
Evolution of Cortical Asymmetry with Post-stroke Rehabilitation: A Pilot Study 1102
Abstract 1102
1 Introduction 1102
2 Materials and Methods 1103
2.1 Participants 1103
2.2 Intervention 1103
2.3 EEG Acquisition and Pre-processing 1104
2.4 Pairwise Derived Brain Symmetry Index 1104
3 Results and Discussion 1105
4 Conclusion 1105
References 1105
Closed-Loop System with Biofeedback for Engagement Control in Virtual Rehabilitation 1107
Abstract 1107
1 Introduction 1107
2 Background and Proposed Materials and Methods 1109
2.1 Serious Games and VR in Rehabilitation 1109
2.2 Virtual Presence as Measure of Engagement 1109
2.3 Closed-Loop Controller for Presence 1110
References 1110
Gait Analysis and Parkinson’s Disease: Recent Trends on Main Applications in Healthcare 1112
Abstract 1112
1 Introduction 1112
2 Methods 1113
2.1 Literature Search Strategy 1113
2.2 Inclusion and Exclusion Criteria 1113
2.3 Data Extraction 1113
3 Results 1113
4 Discussion 1114
References 1115
Intra-subject Invariant Classification Modeling for Spectral Features in EEG Signals Using Decision Fusion Method 1117
Abstract 1117
1 Introduction 1117
2 Material and Method 1118
2.1 Participants and Experimental Paradigm 1118
2.2 Signal Acquisition and Processing 1119
3 Results and Discussion 1119
4 Conclusion 1120
References 1120
HD-EMG to Assess Motor Learning in Myoelectric Control 1122
Abstract 1122
1 Introduction 1122
2 Methods 1123
2.1 Subjects 1123
2.2 Experimental Setup 1123
2.3 Experimental Protocol 1123
2.4 Data Analysis 1124
3 Results 1124
4 Discussion 1125
References 1126
Cross-Examination of Motor Unit Pulses Improves the Accuracy of Motor Unit Identification from High-Density EMG 1127
Abstract 1127
1 Introduction 1127
2 Muscle Excitation Estimation 1128
2.1 PNR Witnessing 1128
2.2 Synthetic hdEMG Signals and Performance Analysis 1129
3 Results 1129
4 Discussion 1130
References 1131
Pre-conference Workshops 1132
Cumulative Spike Train Outperforms the Root-Mean-Square Metric in Muscle Excitation Estimation from Dynamic High-Density EMG 1133
Abstract 1133
1 Introduction 1133
2 Methods 1134
3 Results 1135
4 Discussion 1136
References 1136
Interpretation of Surface Electromyograms: The Spatial Localisation of Muscle Activity 1138
Abstract 1138
1 Introduction 1138
2 Estimation of Muscle Activity 1139
3 Normalisation 1139
4 Cross-Talk 1140
5 Myoelectric Fatigue 1140
6 Conclusion 1140
References 1140
Integration of HD-sEMG and Ultrasounds for the Assessment of Muscle Function 1142
Abstract 1142
1 Introduction 1142
2 Electrode Technology 1143
2.1 Electrode Design 1143
2.2 Electrode Testing 1144
3 Applications 1144
References 1145
Wearable and Wireless HD-sEMG Acquisition Systems: Recent Advances 1146
Abstract 1146
1 Introduction 1146
2 System Architecture 1147
3 Results 1149
4 Conclusion 1149
References 1149
EMG-Driven Force Fields: Toward a Myoprocessor for `Virtual Biomechanics' 1151
1 Introduction 1151
2 Materials and Methods 1152
2.1 Experimental Apparatus and Task 1152
2.2 Myoprocessor Model 1152
2.3 Model Identification 1153
3 Results and Conclusions 1154
References 1155
Consistency of Myoelectric Control Across Multiple Sessions 1156
Abstract 1156
1 Introduction 1156
2 Materials and Methods 1157
2.1 Subjects 1157
2.2 Setup 1157
2.3 Protocol 1157
2.4 The EMG-to-Force Matrix 1158
3 Analysis 1158
4 Discussion and Conclusions 1159
References 1160
Correction to: Classification of Healthy Subjects and Alzheimer’s Disease Patients with Dementia from Cortical Sources of Resting State EEG Rhythms: Comparing Different Approaches 1161
Correction to: Chapter “Classification of Healthy Subjects and Alzheimer’s Disease Patients with Dementia from Cortical Sources of Resting State EEG Rhythms: Comparing Different Approaches” in: L. Masia et al. (Eds.): Converging Clinical and Engineering Research on Neurorehabilitation III, BIOSYSROB 21, https://doi.org/10.1007/978-3-030-01845-0_196 1161
Author Index 1162

Produkt-Details

• Erscheint lt. Verlag: 15.10.2018
• Reihe/Serie: Biosystems & Biorobotics
• Reihe/Serie: Biosystems & Biorobotics
• Zusatzinfo: XXIX, 1180 p. 395 illus., 343 illus. in color.
• Verlagsort: Cham
• Sprache: englisch
• Themenwelt: Medizin / Pharmazie ► Physiotherapie / Ergotherapie
• Themenwelt: Technik ► Maschinenbau
• Themenwelt: Wirtschaft ► Betriebswirtschaft / Management ► Logistik / Produktion
• Schlagworte: Activity-Dependent Plasticity • BCI applications • BCI-VR Systems • Biofeedback In Rehabilitation • FES In Rehabilitation • Haptic Guidance In Rehabilitation • Motor Control Task • Muscle Synergies In Rehabilitation • Personalized Musculoskeletal Modeling • Post-stroke Rehabilitation • Proceedings of ICNR2018 • rehabilitation psychology • Robotic Therapy Design • Types Of Motor Learning • Virtual Reality-Based Rehabilitation
• ISBN-10: 3-030-01845-8 / 3030018458
• ISBN-13: 978-3-030-01845-0 / 9783030018450