CMBEBIH 2017 (eBook)

Proceedings of the International Conference on Medical and Biological Engineering 2017

Almir Badnjevic (Herausgeber)

eBook Download: PDF

2017 | 1st ed. 2017
XIX, 806 Seiten
Springer Singapore (Verlag)
978-981-10-4166-2 (ISBN)

Infos

This volume presents the proceedings of the International Conference on Medical and Biological Engineering held from 16 to 18 March 2017 in Sarajevo, Bosnia and Herzegovina. Focusing on the theme of 'Pursuing innovation. Shaping the future', it highlights the latest advancements in Biomedical Engineering and also presents the latest findings, innovative solutions and emerging challenges in this field.
Topics include:
-    Biomedical Signal Processing
-    Biomedical Imaging and Image Processing
-    Biosensors and Bioinstrumentation
-    Bio-Micro/Nano Technologies
-    Biomaterials
-    Biomechanics, Robotics and Minimally Invasive Surgery
-    Cardiovascular, Respiratory and Endocrine Systems Engineering
-    Neural and Rehabilitation Engineering
-    Molecular, Cellular and Tissue Engineering
-    Bioinformatics and Computational Biology
-    Clinical Engineering and Health Technology Assessment
-    Health Informatics, E-Health and Telemedicine
-    Biomedical Engineering Education
-    Pharmaceutical Engineering


Almir Badnjevic has a PhD in Electrical Engineering and experiences in both the fields of Biomedical Engineering and Medical Devices. He is currently the Director of Verlab Ltd, a verification laboratory for medical devices. Almir is also an Assistant Professor at International Burch University, an industry expert in the faculty of Electrical Engineering and a lecturer in the faculty of Medicine in the University of Sarajevo. On top of that, he is also Executive Director of the Bosnia and Herzegovina Medical and Biological Engineering Society.

Inhalt

Preface 6
Organization 8
Contents 12
Plenary Lectures I - Session I:BIOMEDICAL SIGNAL PROCESSING 1 21
1Using machine learning tool in classification of breast cancer 22
Abstract. 22
Keyword 22
1 Introduction 22
2 Methods 23
2.1 Wisconsin Breast Cancer Database (WBCD 23
2.2 Design of Artificial Neural Network for BreastCancer Classification 23
3 Results and discussion 24
3.1 Predictive ability of neural network architecturewith different number of hidden layers 24
4 conclusion 25
2MULTISAB project: a web platform based on specialized frameworks for heterogeneous biomedical time series analysis - an architectural overview 28
Abstract. 28
Keywords: 28
1 Introduction 28
2 Processing frameworks 29
2.1 Common signal features framework 29
2.2 Data handling framework 30
2.3 Specialized biomedical time series analysisframeworks 30
4 Signal visualization 31
3 Database 31
5 Discussion and conclusion 33
Conflict of Interest 33
Acknowledgements 33
References 34
3Short-term variations of parameters of heart rate variability in subjects with mild hypertension and normotensive subjects during preoperative period 35
Abstract 35
Introduction 35
Methods and subjects 35
Keywords 35
Results 36
Discussion 37
Conclusion 37
4Cardiac pulse waves modeling and analysis in laser Doppler perfusion signals of the skin microcirculation 39
Abstract. 39
1 Introduction 39
2 Materials and methods 39
2.1 Dataset 39
2.2 Experimental setting 39
2.3 Gaussian-based cardiac pulse waves modeling 40
3 Results 42
4 Conclusion 43
Acknowledgement 44
References 44
5Discrimination of Psychotic Symptoms from Controls Through Data Mining Methods Based on Emotional Principle Components 45
Abstract. 45
Keywords: 45
1 Introduction 45
2 Methods 46
2.1 Data Collection 46
2.2 Feature Extraction 46
2.3 Data Mining Methods for Emotion Recognition 46
2.4 Performance Criteria 47
3 Results 47
4 Discussion and Conclusion 48
Acknowledgements 48
References 48
6Differences in temporal gait parameters between multiple sclerosis and healthy people 50
Abstract. 50
Keywords: 50
1 Introduction 50
2 Methods 51
3 Results 52
4 Summary and conclusions 53
References 54
7An Adaptive Scheme for X-ray Medical Image Denoising using Artificial Neural Networks and Additive White Gaussian Noise Level Estimation in SVD Domain 55
Abstract. 55
Keywords: 55
1 Introduction 55
2 Singular r Value Dec composition n and NoiseLevel E stimation 56
3 O verview of M Multilayer P Perceptron 56
4 Adaptive Image Denoising 57
5 Results and Discussion 57
6 Conclusion 59
References 59
8Using Neural Networks and Ensemble Techniques based on Decision Trees for Skin Permeability Prediction 60
Abstract. 60
Keywords: 60
1 Introduction 60
2 Methods 62
2.1 Identification of Parametes for Prediction of drug permeability 62
2.2 Artifical Neural Network for prediction of drug permeability 62
2.3 Ensemble techniques based on Decision Trees forprediction of skin permeability 63
2.4 Dataset Distribution 64
3 Result 64
3.1 Predictive ability of nerual network arhitecturs with different number of neurous in hidden layer 64
3.2 Predictive ability of nerual network arhitecturs with different Distribution of Dataset 65
3.3 Predictive ability of nerual network for prediction of drug permeability 65
3.4 Predictive ability of REPTree, Bagging, andRandom SubSpace 66
3.5 Comparison of ANN and Ensemble Techniques 66
4 Conclusion 66
References 67
Plenary Lectures I - Session II:BIOMEDICAL IMAGING AND IMAGE PROCESSING 70
9Fully Automated Brain Tumor Segmentation and Volume Estimation Based on Symmetry Analysis in MR Images 71
Abstract. 71
Keywords: 71
1 INTRODUCTION 71
2 MATERIAL AND METHODS 72
3 RESULTS 77
4 CONCLUSION 78
REFERENCES 78
10Multi-Regional Adaptive Image Compression (AIC) for Hip Fractures in Pelvis Radiography 79
Abstract. 79
Keywords: 79
INTRODUCTION 79
METHODOLOGY 80
1 Specifying Regions of Interest 80
2 Lossless Compression 81
3 Lossy Compression 82
EXPERIMENTAL RESULTS 83
CONCLUSION 84
REFERENCES 85
11Endovascular treatment of intracranial arteriovenous malformations using ONYX 86
1 Abstract 86
Keywords: 86
2 Materials and methods 87
3 Results 88
4 Discussion 88
5 Conclusions 90
References 91
12Evaluation of spatial distribution of skin blood flow using optical imaging 92
Abstract. 92
1 Introduction 92
2 Materials and methods 93
2.1 Data acquisition 93
2.2 Reference signal 94
2.3 Delay estimation 95
2.4 Image analysis 95
3 Results 96
4 Conclusions 97
References 97
13Computer-assisted diagnosis of osteoartrithis on hip radiographs 99
Abstract. 99
Keywords: 99
1 Introduction 99
2 Material a and Methods 100
1.1Data sets 100
1.2 Method1 (Traditional manual radiographical angle and ratio measurements to detect OA) 100
1.3 Method2 (he Th proposed Computer assisted angle and ratio ment-measurement system 100
3 Experiments 103
4 Conclusion 104
References 104
14DETERMINATION OF SEX BY DISCRIMINANT FUNCTION ANALYSIS OF LINEAR DIAMETERS IN BOSNIAN HUMAN SKULLS 106
Abstract. 106
Keywords: 106
1 INTRODUCTION 106
2 METHODS AND MATERIAL 106
2.1 Statistic methods 108
3 RESEARCH RESULTS 108
4 DISCUSSION 111
5 CONCLUSION 112
REFERENCES 112
Plenary Lectures I - Session III:BIOSENSORS AND BIOINSTRUMENTATION 113
15Eustachian Tube Dysfunction Assessment Through Tympanic Cavity Air Exchange Sensor 114
Abstract. 114
Keywords: 114
1 Introduction 114
2 Principles of ET air exchange sensor and measurment method 115
2.1 Using Boyle’s Law for Finding Exchange Volume 117
3 Classification of ETD cases 119
3.1 Observations about ET muscular signals 119
4 CONCLUSIONS 119
REFERENCES 119
16Design, Simulation and Implementation of a Selective Recording System from Peripheral nervous system 121
Abstract. 121
Keywords: 121
1 Introduction 121
2 Materials and methodes 122
2.1 Simulations 122
2.2 Implementation 123
3 RESULTS 123
4 DISCUSSION 125
References 125
17Fabrication and testing of a multi-electrode spiral nerve cuff 127
Abstract. 127
Keywords: 127
1 Introduction 127
2 Materials and methods 127
3 Results 128
4 Discussion 129
References 129
18Personal electromyographic biofeedback system „MyMyo“ 131
Abstract. 131
Keywords: 131
1 Introduction 131
2 Existing solutions to the problem 131
3 Concept and requirements for the device 132
4 Device development 132
4.1 Power supply 133
4.2 Analog processing 133
4.3 Microcontroller and BLE 134
4.4 Data coding 134
4.5 Mobile phone application 135
4.6 Device design 135
5 Device testing 136
5.1 Transfer function 136
5.2 Data throughput problem 137
6 Conclusion 137
Acknowledgement 137
Conflicts of Interest 137
Literature 137
19A NOVEL ACTIVE DEVICE FABRICATION METHOD FOR INTERVENTIONAL MRI PROCEDURES 139
Abstract. 139
Keywords: 139
Introduction 139
Conclusion 144
References 144
20Experimental verification of EOG signal measurement using the modified digital stochastic measurement method 146
Abstract. 146
Keywords: 146
1 Introduction 146
2 Proposed method and simulation model 146
3 Experimental hardware solution 148
4 Results and discusion 150
5 Conclusion 151
Acknowledgment 151
References 151
Plenary Lectures I - Session IV:BIO-MICRO/NANO TECHNOLOGIES 152
21Application of Artificial Neural Network in modelling of photo-degradation suspension of manganese doped zinc oxide nanoparticles under visible-light irradiation 153
Abstract. 153
Keywords: 153
1 Introduction 153
2 Methods 154
3 Results and discussion 155
5. Conclusion 156
References 157
22Quantification of protein concentration adsorbed on gold nanoparticles using Artificial Neural Network 158
Abstract. 158
Keywords: 158
1 Introduction 158
2 Methods 158
2.1 Sample collection 158
2.2 Development of Artificial Neural Network for quantification of protein concentration bind on surface of gold nanoparticles NPs 159
2.3 Testing of ANN 159
3 Results 159
3.1 ANN training results 159
4 Conclusion 161
Conflict of interest 162
References 162
23 Design and Fabrication of a PDMS Microfluidic Devicefor Titration of Biological Solutions 163
Keywords: 163
1. Introduction 163
2. Chip design 163
3. Material and Methods 164
3. Results and discussion 165
4. Conclusion and future work 167
Acknowledgments 167
References 167
24BEAUTY OF FINE DOTS 169
Abstract. 169
Keywords: 169
1 Introduction 169
2 Why are quantum dots so unique? 170
3 Application of DHLA-coated CdSe/ZnSquantum dots 170
4 Nanotoxicology 171
5 Conclusion 172
References 172
25EFFECT OF CHEMICALLY-SYNTHESIZED SILVER NANOPARTICLES (AG-NP) ON GLYCEMIC AND LIPIDEMIC STATUS IN RAT MODEL 174
Abstract. 174
Keywords: 174
Introduction 174
RESULTS 176
CONCLUSION 178
REFERENCES 178
26Towards green nanotechnology: maximizing benefits and minimizing harm 180
Abstract. 180
Keywords: 180
1 Introduction 180
2 Nanotechnology and its potential negative impact on human health and environment 181
3 Green nanotechnology – a way to changethe future 182
4 Conclusion 185
References 185
27Development of the method for quantification of amino acid adsorbed on nanoparticle surface 187
Abstract. 187
Keywords: 187
1 Introduction 187
1.1 Nanoparticles 187
1.2 Gold nanoparticles (Au NPs) 187
1.3 Silicon nanoparticles (Si NPs). 188
1.4 Interaction bewtween nanoparticles-biologicalsystems 188
2 Materials and Methods 188
2.1 Materials 188
2.2 Methods 188
3 Results and Discussion 189
3.1 Adsorption of amino acids on gold nanoparticles 189
3.2 Adsorption of amino acids on SiO2 nanoparticles 190
4 Conclusion 191
5 References 191
28Application of biological surface adsorption index approach (BSAI) in characterization of interactions between gold nanoparticles and biomolecules 192
Abstract. 192
Keywords: 192
1. Introduction 192
2. Materials and Methods 193
2.1 Materials and reagents 193
2.2. Synthesis of AuNPs 194
2.2. Preparation of probe compounds solutions 194
2.3. Sample preparation 194
2.4. SPME/GC-MS instrumentation and analyticalparameters 194
2.5. Quantification of the adsorption of probe compoundsby NPs 195
2.6. Adsorption coefficient calculation 195
3. Results 195
3. Conclusion 197
References 197
Plenary Lectures I - Session V: BIOMECHANICS, ROBOTICS AND MINIMALLYINVASIVE SURGERY 199
29MECHANICAL TESTING STRATEGIES FOR DENTAL IMPLANTS 200
Abstract. 200
Keywords: 200
1 INTRODUCTION 200
2 STRESS AND STRAINMEASUREMENTS 201
3 RESONANCE FREQUENCYANALYSIS 204
4 FRACTURE RESISTANCE 205
REFERENCES 205
30CONTACT FORCE PROBLEM IN THE REHABILITATION ROBOT CONTROL DESIGN 208
Abstract. 208
Keyword: 208
1 INTRODUCTION 208
2 REVIEW OF CURRENT REHABILITATIONROBOTS 209
2.1 Target population and rehabilitation robots 209
2.2 Trends of rehabilitation robots 209
3 THE ROBOT - ENVIRONMENTINTERACTION PROBLEM 210
3.1 Control of contact tasks 211
3.2 Cooperative manipulation 212
4 MANIPULATOR AND CONTACTDYNAMICS MODEL 214
4.1 Manipulator kinematics and dynamics 214
4.2 Environment model 215
4.3 Impedance controller for cooperative manipulation 215
5 DISCUSSION AND CONCLUSION 216
6 FUTURE RECOMMENDATIONS 216
REFERENCES 217
31 Implementation and Validation of Human Kinematics measured using IMUs for Musculoskeletal Simulations by the Evaluation of Joint Reaction Forces 220
Abstract: 220
Keywords: 220
I. INTRODUCTION 220
II. MATERIALS AND METHODS 221
III. RESULTS 222
IV. DISCUSSION A ND LIMITATIONS 225
V. CONCLUSION 226
REFERENCES 226
32FEA of the transiliacal internal fixator as an osteosynthesis of pelvic ring fractures 227
Abstract: 227
Keywords: 227
I. INTRODUCTION 227
II. MATERIALS AND METHODS 228
III. RESULTS 229
IV. DISCUSSION AND LIMITATIONS 230
V. CONCLUSION 231
VI. CONFLICT OF INTEREST DECLARATION 231
VII. REFERENCES 232
33Overview of the Development of Hydraulic Above Knee Prosthesis 233
Abstract. 233
Keywords: 233
1 INTRODUCTION 233
2 CURRENT ACCOMPLISHMENTS 233
3 DEVELOPMENT OF HAKP 233
4 CURRENT R& D OF HAKP
4.1 Prosthetic foot development 235
4.2 Design of HAKP prototype with knee andankle actuators 235
4.3 Development of motion recognition equipment for HAKP 236
5 CONCLUSION AND FUTURE WORK 237
REFERENCES 237
34Non-invasive estimation of respiratory depression profiles during robot-assisted laparoscopic surgery using a model-based approach 238
Abstract. 238
Keywords: 238
1 Introduction 238
2 Methods 239
3 Results 241
4 Discussion 244
References 245
Plenary Lectures I - Session VI: CARDIOVASCULAR, RESPIRATORY AND ENDOCRINESYSTEMS ENGINEERING 247
35Subclinical inflammation: The link between increased cardiovascular risk and subclinical hypothyroidism in postmenopausal women 248
ABSTRACT. 248
KEYWORDS: 248
INTRODUCTION 248
MATERIALS AND METHODS 248
RESULTS 249
DISCUSSION 251
CONCLUSION 252
REFERENCES 252
36Computational Vascular Surgery Planning and Predicting for Abdominal Aortic Aneurysm 254
Abstract. 254
1 Introduction 254
2 Methods 255
2.1 Experimental determination of tissue deformation 255
2.2 Computer models 256
2.3 Drag force calculation 256
3 Results 256
4 Discussion and conclusion 258
Acknowledgments 258
References 258
37Determination of Probabilistic Neural Network's Accuracy in Context of Cardiac Stress Test 259
Abstract. 259
Keywords: 259
1 Introduction 259
2 Cardiac Stress Test Basics 260
3 PNN Basics 262
4 Experiment Setup and Results 262
5 Conclusion 264
References 264
38Effects of electrical stimulation as a new method of treating diabetes on animal models: Review 266
Abstract. 266
Keywords: 266
1 Introduction 266
2 Effects of electrical stimulation of dorsalmotornucleus of vagus nerve 267
3 Electrical field stimulation (EFS) on thesecretion of insulin and glucagon 267
4 Effects of non-invasive peripheralstimulation in normal and insulinresistant rats 267
5 Effect of hepatic electrical stimulation ondiabatetic rats 268
6 Effects of mild electrical stimulation andheat shock on different models of mice 269
7 Conclusion 270
Conflict of interest declaration 270
References 270
39Numerical Simulation of Blood Flow Through the Aortic Arch 272
Abstract. 272
Keywords: 272
1 Background 272
2 Methodology 272
2.1. Mathematical model 272
2.2 Discretization 273
3 Physiology of blood flow 273
3.1 Basic presumptions of fluid mechanics of bloodflow through the aorta 274
3.2 Entrance region into aorta 274
4 Problem description 274
4.1 Geometry and mesh 276
4.2 Initial and boundary conditions 276
5 Result and discussion 277
6. Conclusion 280
References 281
40Computational modeling of plaque development in the coronary arteries 282
Abstract. 282
1 Introduction 282
2 Methods 283
3 Results 284
4 Discussion and conclusion 286
Acknowledgments 286
References 286
Plenary Lectures II: Poster Session 288
41People identification using Kinect sensor 289
Abstract. 289
Keywords: 289
1 Introduction 289
2 Proposed solution 290
2.1 Sensors used, preprocessing performed 290
2.2 Features used 290
2.3 Training and testing phase 290
2.4 Experimental results 292
3 Conclusion and future work 294
References 294
42Artificial Neural Network: Gas recognition 295
Abstract. 295
Keywords: 295
1 Introduction 295
2 Methods 295
3 Results and discussion 297
4 Conclusion 298
References 299
43A Fuzzy Model to Predict Risk of Urinary Tract Infection 301
Abstract. 301
Keywords: 301
1. Introduction 301
2. Methods 302
2.1 Fuzzification and Membership Functions 302
2.2 Fuzzy Inference System 303
2.3 Set of Rules 303
2.4 Defuzzification 304
3. Results 304
4. Discussion 305
Acknowledgements 305
References 305
44Conceptual image of heart – path to patient benefit 306
Abstract: 306
Keywords: 306
1. Introduction 306
2. Conceptual design 307
3. Aim 308
4. Material and methods 308
5. Results 308
6. The use and future directions 310
7. Conclusion 310
References: 311
45A Novel Gait Detection Algorithm Based on Wireless Inertial Sensors 312
Abstract. 312
Keywords: 312
1 Introduction 312
2 Method 313
2.1 Hardware 313
2.2 Algorithm design. 313
2.3 Experiment 314
2.4 The accuracy and latency 315
3 Results 315
4 Conclusion 316
Acknowledgement 316
References 316
46Single-Chip Intrabody Communication Node 317
Abstract. 317
Keywords: 317
1 Introduction 317
2 The IBC system based on PSoC 318
2.1 Transmitter 318
2.2 Recevier 319
3 Measurement results 321
4 Conclusion 321
Acknowledgement 322
Conflicts of Interest 322
References 322
47Microneedle-assisted delivery of NSAIDs 323
Abstract 323
Keyword 323
I Introduction 323
II MICRONEEDLES-MODERN SYSTEM OF DRUG DELIVERY 323
III MICRONEEDLE-ASSISTED DELIVERY OF NSAIDS 325
IV CONCLUSION 326
REFERENCE 327
48PREPARATION OF NANOEMULSIONS BY HIGH-ENERGY AND LOW-ENERGY EMULSIFICATION METHODS 329
Abstract. 329
Keywords: 329
1 Introduction 329
2 Methods of preparation of nanoemulsions 330
2.1. High-energy methods for preparation of nanoemulsions 330
2.2. Low-energy methods for preparation of nanoemulsions 331
3 Conclusions 333
References 333
49Characterisation of NiTi orthodontic archwires characteristic functional properties 335
Abstract 335
Key word 335
Abbreviations 335
1 Introduction 335
2 Materials and Methods 337
3 Results and Discussion 338
4 Conclusions 344
References 344
50LONG-LATENCY INTRACORTICAL INHIBITION DURING UNILATERAL MUSCLE ACTIVITY 345
Abstract. 345
Keywords: 345
Introduction 345
Methods 346
Results 347
Discussion 349
Conclusions 349
Acknowledgement 349
References 349
51Simulation of kinematic behaviour of prosthetic devices 351
Abstract. 351
Keywords: 351
1 Introduction 351
2 Methods 352
3 Results 353
4 Conclusion 355
References 355
52Thyroid pathology and platelet functional activity 356
Abstract. 356
Keywords: 356
INTRODUCTION. 356
MATERIALS AND METHODS. 357
OWN RESEARCH. 358
CONCLUSION. 360
LITERATURE 361
53TRENDS AMONG NEONATOLOGISTS IN DECISION TO VENTILATE PRETERM INFANTS WITH PERMISSIVE HYPERCAPNIA 362
ABSTRACT: 362
Aim 362
Methods 362
Results 362
Conclusion 362
Keywords 362
INTRODUCTION: 362
METHODS 363
RESULTS 363
DISCUSSION 364
Literature 365
54A mathematical model of the effect of metabolic control on joint mobility in young type 1 diabetic subjects 367
Abstract. 367
1 Introduction 367
2 Materials and methods 368
2.1 Determination of ankle joint mobility 368
2.2 Mathematical model 368
2.3 Fitting 369
3 Results 369
4 Discussion 370
References 370
55Basics of mathematical modeling of pulmonary ventilation mechanics and gas exchange 372
Abstract. 372
Keywords: 372
1 Introduction 372
2 Breathing process 373
2.1 Air movement into and out of the lungs, and processes which cause it 373
3 Mathematical modeling of human respiratorysystem 375
3.1 Generalized system properties 375
3.2 A simplified linear model of pulmonary ventilation mechanics 375
3.3 Pulmonary gases exchange 376
4 Conclusions 378
References 378
56TESTING OF THE INFLUENCE OF MEDIA’S pH VALUE ON THE SOLUBILITY AND PARTITION COEFFICIENT OF THE ACETYLSALICYLIC ACID 380
Abstract. 380
Keywords: 380
Introduction* 380
Material and methods 380
Results and discussion 381
Conclusion 383
References 383
57The use of ELM and MnM servers for the prediction of RANK function in osteoclast formation 384
Abstract. 384
Keywords: 384
1 Introduction 384
1.1. ELM server 385
1.2. MiniMotif Miner 386
2. Aim and research goals 386
3. Material and methods 387
3.2.The results of RANK analysis with the MnM web-tool 387
4.Results 387
4.1. The results of RANK analysis with the ELM server 387
4.Discussion 387
5.Conclusion 389
References 390
58QSAR modeling and structure based virtual screening of new PI3K/mTOR inhibitors as potential anticancer agents 391
Abstract. 391
Keywords: 391
Introduction 391
Materials and methods 392
Results and discussion 394
Conclusion 395
Conflict of interest 395
Acknowledgement 395
References 395
59Career development in Green Biotechnology in B& H: roadblocks and prospects
Abstract. 396
Keywords: 396
1 Introduction 396
2 Green biotechnology/Plant biotechnology 397
3 Career development 398
Conflict of interest 399
References 399
60E-health in Bosnia and Herzegovina: exploring the challenges of widespread adoption 400
Abstract. 400
Keywords: 400
1 Introduction 400
2 Benefits and challenges of e-health 400
3 Analysis of the challenges affecting e-health adoption in Bosnia and Herzegovina 402
3.1 Political issues 402
3.2 Economic concerns and factors 402
3.3 Technological challenges 404
4 E-health implementation in Bosnia and Herzegovina: SWOT analysis 405
5 Conclusion 406
References 406
615-HIAA and HVA in the Coma Cerebri, Hydrocephalus and Tumor Cerebri 408
Abstract. 408
Keywords: 408
1 INTRODUCTION 408
2 MATERIALS AND METHODS 410
3 RESULTS 411
4 DISCUSSION 412
5 CONCLUSION 412
REFERENCES 412
62Estimation of lipophilicity data for derivatives of alkandiamine-N,N’-di-2-(3-cyclohexyl) propanoic acid with potential antineoplastic activity, by UHPLC-MS method 414
ABSTRACT: 414
Keywords: 414
1 INTRODUCTION 414
2 EXPERIMENTAL 415
2.1 Chemicals 415
2.3 Lipophilicity determination by UHPLC/MS method 418
3 RESULTS AND DISCUSSION 420
CONCLUSION 421
REFERENCES 421
63Detremination of kinetic effect of Metoprolol and Ranitidine on HRP- modified GC electrode biosensor 422
Abstract. 422
Introduction 422
Materials and methods 423
Results and discussion 423
Conclusion 426
Reference: 426
64Monitoring of bisoprolol fumarate stability under different stress conditions 427
Abstract. 427
Keywords: 427
Introduction 427
Materials and Methods 427
Results and Discussion 428
Conclusion 435
REFERENCES: 436
65Measuring the feeling: correlations of sensorial to instrumental analyses of cosmetic products 437
Abstract. 437
Keywords: 437
1 Introduction 437
2 Sensorial analysis 437
3 Instrumental analyses 438
4 Making connections and correlations 438
5 Conclusion 440
References 440
66Hydrophilic antioxidant scores against hydroxyl and peroxyl radicals in honey samples from Bosnia and Herzegovina 441
Abstract. 441
Keywords: 441
1 Introduction 441
2 Methods 442
2.1 Samples 442
2.2 Procedure 442
2.3 Instrumentation 443
2.4 Statistics 443
3 Results and discussion 443
4 Conclusion 444
Acknowledgements 444
Abbreviations 444
References 444
67Polymorphisms of 1691G> A and 4070A>
Abstract. 447
Keywords: 447
Background 447
Aim 448
Statistical analysis 448
Results 448
Discussion 449
Conclusion 450
Declaration of interest 450
References 450
68 Lack of association between I/D ACE and -675 ID 4G / 5G PAI-1 polymorphisms and predicting risk of pregnancy loss (PROPALO) in Bosnian women 452
Abstract. 452
Keywords: 452
Introduction 452
Material and Methods 453
Statistical analysis 454
Results 454
Disscusion 454
Conclusion 455
References 455
69Gene clustering using Gene expression data and Self-Organizing Map (SOM) 457
Abstract. 457
Keywords: 457
1 Introduction 457
2 Methods 458
2.1 Principle of Self-organizing maps (SOM) 458
2.2 The architecture of the SOM network 458
2.3 The learning algorithm of SOM 458
2.4 Establishment of a SOM 459
3 Results 460
4 Conclusion 461
References 462
70Public opinion toward GMOs and biotechnology in Bosnia and Herzegovina 464
Abstract. 464
Keywords: 464
1 Introduction 464
2 Methods 465
3 Results 465
4 Discussion 467
5 Conclusion 468
References 469
71Future trends and possibilities of using induced pluripotent stem cells (iPSC) in regenerative medicine 471
Abstract: 471
Keywords. 471
I. INTRODUCTION 471
II. ROLE, CLASSIFICATION AND FUNCTION OF STEM CELLS IN THE BODY 471
III. CONCLUSION 475
REFERENCES 476
Plenary Lectures II - Session VII:BIOMEDICAL SIGNAL PROCESSING 2 477
72ECG S Signal Cla n assification Using Ar rtificial N eural Netw works: Co omparison n f oft Different Feature T Types 478
Abstract. 478
Keywords: 478
1 Introduction 478
1.1 Related work 479
2 Artificial Neural Networks 479
2.1 Proposed method 479
3 Feature extraction 480
3.1 Time-domain features 480
3.2 Morphological features 481
3.3 Statistical features 482
4 Results 482
5 Conclusion 484
References 484
73Surface EMG Signal Classification by Using WPD and Ensemble Tree Classifiers 486
Abstract. 486
Keywords: 486
1 Introduction 486
2 Material and Methods 487
2.1 EMG Signal Data 487
2.2 Multi-Scale Principal Component Analysis(MSPCA) for De-Noising 487
2.3 Feature Extraction and Dimension Reduction 487
2.4 Decision Tree Classifiers 488
2.5 Ensemble Tree Classifiers 488
3 Results and Discussion 488
3.1 Performance Evaluation Criteria 488
3.2 Experimental Results 488
3.3 Discussion 490
4 Conclusion 490
References 491
74Tool for Comparative Case Studies of Heart Rate and Heart Rate Variability 493
Abstract. 493
Keywords: 493
1 Introduction 493
2 Heart Rate and Heart Rate VariabilityAnalyses 493
3 HR-HRV Analysis Tool 494
4 Case Study: Stress level 495
5 Conclusion 496
References 496
75 A n novel appr roach for p parameter r estimatio on of Fricke -Morse model using D al Differential Impedance Analysis 498
Abstract . 498
Keywords 498
1 Introduction 498
2 A new approach for parameter estimation of Fricke-Morse model using Differential Impedance Analysis 499
3 Evaluation of the proposed method 500
4 Conclusion 505
Acknowledgement 505
References 505
76Wavelet and Teager Energy Operator (TEO) for Heart Sound Processing and Identification 506
Abstract 506
Keywords: 506
1 Introduction 506
2 Materials and Methods 507
2.1 Teager Energy Operator 508
2.2 Wavelet Transform 508
3 Results 508
3.1 Graphical User Interface (GUI) 509
3.2 Examples of TEO without/with Wavelets 510
4 Discussion 511
5 Conclusion 513
Conflict of interest 513
References 513
77Ovary Cancer Detection using Decision Tree Classifiers based on Historical Data of Ovary Cancer Patients 514
Abstract. 514
Keywords: 514
1 Introduction 514
2 Methodology 515
2.1 Dataset 515
2.2 Algorithms 516
3 Experiments and results 517
3.1 Feature Selection 519
4 Discussion and Conclusion 519
Conflict of interest 520
References 520
78Mental workload vs. stress differentiation using single-channel EEG 522
Abstract. 522
1 Introduction 522
2 Methods 522
2.1 Experimental procedure 522
2.2 Feature extraction 523
2.3 ECG and EDA features 524
2.4 Feature selection 524
3 Results 525
4 Discussion 525
5 Conclusion 526
References 526
79Human-machine interface via EMG signals derived from EEG measurement device 527
Abstract. 527
Keywords: 527
1 Introduction 527
2 Measurement method 529
2 Experiment Results 530
2.1 Discussion 530
2.2 Conclusion 530
References 531
Plenary Lectures II - Session VIII:BIOMEDICAL IMAGING AND IMAGE PROCESSING 2 532
80A Novel Feature Extraction Approach with VBM 3D ROI Masks on MRI 533
Abstract. 533
Keywords: 533
1 Introduction 533
2 Material 534
2.1 OASIS Database 534
2.2 Preprocessing 534
3 Methods 534
3.1 Voxel Based Morphometry 534
3.2 Masking of 3D ROI 535
3.3 Histogram Based First Order Statistics 536
4 Experimentals 538
4.1 Statistical Analysis of FOS 538
5 Conclusion 538
Acknowledgement 539
References 539
81A modified fuzzy C means algorithm for shading correction in craniofacial CBCT images 541
Abstract. 541
Keywords: 541
1 Introduction 541
2 Methods 542
2.1 Bias-field estimation 542
2.2 Data Generation 544
2.3 Evaluation 544
3 Results 544
3.1 Application on craniofacial CBCT images 544
4 Conclusion 546
References 547
82Detection and Segmentation of Nodules in Chest Radiographs Based on Lifetime Approach 549
Abstract. 549
Keywords: 549
1 INTRODUCTION 549
2 PROPOSED METHOD 550
1.1 The Image Database 551
1.2 Preprocessing 551
1.3 Detection of Candidate Nodules 551
1.4 Segmentation of Candidate Nodules 554
1.5 Texture Based Feature Extraction 554
3 EXPER?MENTAL RESULTS 555
4 DISCUSSION and CONCLUSIONS 556
REFERENCES 556
83Automated Colony Counting Based on Histogram Modeling Using Gaussian Mixture Models 558
Abstract. 558
Keywords: 558
1 Introduction 558
2 Image Processing and Colony Counting 558
2.1 Image Processing 559
2.2 Rating and Feature Extraction 561
3 Results 561
4 Conclusions 562
Bibliography 562
Plenary Lectures II - Session IX: CLINICAL ENGINEERING AND HEALTHTECHNOLOGY ASSESSMENT 564
84The electrode setup for vibratory evoked potentials 565
Abstract. 565
Keywords: 565
1 Introduction 565
2 Materials and methods 566
3 Results and discussion 567
4 Conclusion 570
References 570
85Quality control of angular tube current modulation 571
Abstract: 571
Keywords: 571
I. INTRODUCTION 571
II. MATERIALS AND METHODS 571
III. RESULTS 573
IV. DISCUSSION 573
V. CONCLUSION 574
ACKNOWLEDGEMENTS 574
DISCLOSURE OF POTENTIAL CONFLICTS OFINTEREST 574
REFERENCES 574
86A testbed evaluation of MAC layer protocols for smart home remote monitoring of the elderly mobility pattern 576
Abstract. 576
Keywords: 576
1 Introduction 576
2 Related work 577
3 Smart Home Testbed Design 578
4 Simulation and testbed analysis 578
4.1 Observed Event Evaluations 579
4.2 MAC layer evaluation using our tested 579
4.3 MAC Layer Evaluation Comparison of CASAS and Conducted Simulation 580
5 Conclusion and future works 581
Acknowledgment 582
References 582
87Proposal of integrated software system for simulation and GIS visualization of accidents caused by emission of hazardous gases 584
Abstract. 584
Keywords: 584
1 Introduction 584
2 Methods 585
3 Results and discussion 586
3.1 Integrated software system 586
3.2 “XY plume” model 588
3.3 “XYZ plume” model 588
4 Conclusion 589
References 590
88LEGAL METROLOGY: MEDICAL DEVICES 591
Abstract. 591
Keywords: 591
1 Introduction 591
2 Directives for conformity assessment of medical devices 592
3 Medical devices with measuring function in legal metrology in Bosin and Herzegovina 593
4 Conclusion 595
References 595
89Diagnosis of Chronic Kidney Disease by Using Random Forest 597
Abstract. 597
Keywords: 597
Introduction 597
Materials and Methods 598
2.1 Chronic kidney disease dataset 598
2.2 Artificial Neural Network (ANN) 598
2.3 Support Vector Machine (SVM) 599
2.4 C4.5 Decision Tree 599
2.5 Random Forest 600
2.6 Experimental Setup and Performance Evaluation 600
Results and Discussion 601
Conclusions 601
Acknowledgments 601
References 601
90Global Survey on Biomedical Engineering Professionals in Health Technology Assessment 603
Abstract. 603
Keywords: 603
1 Introduction 603
2 Materials and Methods 604
3 Results and Discussion 604
4 Conclusions 605
References 605
Plenary Lectures II - Session X:BIOINFORMATICS AND COMPUTATIONAL BIOLOGY 607
91CLASSIFICATION OF METABOLIC SYNDROME PATIENTS USING IMPLEMENTED EXPERT SYSTEM 608
Abstract. 608
Keywords: 608
Introduction 608
Methods 609
Results 610
Conclusion 612
Conflict of interest declaration 612
References 612
92Pre-classification process symptom questionnaire based on fuzzy logic for pulmonary function test cost reduction 615
Abstract. 615
Keywords: 615
1 Introduction 615
2 The probability of the presence of Asthma or COPD in a patient 616
2.1 Fuzzy logic algorithm for pre-classification of COPD and asthma 616
2.2 COPD/Asthma Symptom questionnaire 617
2.3 Pre-classification system validation 618
3 Result and discussion 619
4 Conclusion 622
References 622
93Artificial Neural Network and Docking Study in Design and Synthesis of Xanthenes as Antimicrobial Agents 624
Abstract. 624
Keywords: 624
1 INTRODUCTION 624
2 EXPERIMENTAL 625
2.1. Instrumentation 625
2.2. General procedure for the synthesis of arylsubstituted xanthenes 625
2.3. Antimicrobial activity 625
2.4. Calculating lipophilicity parameters 625
2.5. Docking study and physicochemical properties calculations 625
2.6 Artificial Neural Network for prediction thecompounds activity against Escherichia coli and Candida albicans strains 626
3 RESULTS AND DISSCUSION 626
94Mathematical and Computational Models of Cell Cycle in Higher Eukaryotes 634
Abstract. 634
Keywords: 634
1 INTRODUCTION 634
2 MATHEMATICAL ANDCOMPUTATIONAL MODELING 634
2.1 MODELING WITH DIFFERENTIALEQUATIONS 635
2.2 MODELING WITH PETRI NETS 635
2.3 LAW OF MASS ACTION 635
2.4 FIRST-ORDER OR UNIMOLECULAR REACTIONS 636
2.5 SECOND-ORDER OR BIMOLECULARREACTIONS 636
2.6 REVERSIBILE MASS ACTION ORREVERSIBLE REACTION 636
2.7 STEADY STATES 637
2.8 STABILITY ANALYSIS 639
3 CONCLUSION 639
APPENDIX 640
REFERENCES 640
Plenary Lectures II - Session XI: HEALTH INFORMATICS, E-HEALTH AND TELEMEDICINE 642
95Using Information and Communications Technology as an Enabler for Designing an Efficient National Level Vaccination Planning and Dispensing System 643
Abstract: 643
Keywords: 643
I. INTRODUCTION AND MOTIVATION 643
II. LITERATURE REVIEW 644
III. PROPOSED METHODOLOGY 644
ACKNOWLEDGMENT 648
CONFLICT OF INTEREST 648
REFERENCES 648
V. CONCLUSION 648
96Stroke Center Heart Rate Data Acquisition 650
Abstract. 650
Keywords: 650
1 Introduction 650
2 Stroke Center Description 651
3 Heart Rate Monitor Implementation 651
3.1 Hardware Implementation 652
4 Discussion and Conclusion 653
References 653
97Health service quality measurement from patient reviews in Turkish by opinion mining 655
Abstract. 655
Keywords: 655
1 Introduction 655
2 Experiment Setup 656
2.1 Data Collection 656
2.2 Data Pre-Processing 656
2.3 Classification 658
2.4 Interpretation of Results 658
3 Conclusions 659
References 659
98e-Medical Test Recommendation System Based on the Analysis of Patients’ Symptoms and Anamneses 660
Abstract. 660
Keywords: 660
1 Introduction 660
2 Related Work 660
3 Methodology 661
3.1 Data 661
3.2 Methods 661
4 Results 663
5 Conclusion 663
References 664
99Antihypertensive therapy dosage calculator 666
Keywords: 666
1. Introduction 666
2. Aim 668
3. Material and methods 668
4. Software 670
5. Conclusion 671
References 671
100Wireless Body Area Network Studies for Telemedicine Applications Using IEEE 802.15.6 Standard 672
Abstract. 672
1 Introduction 672
1.1 Related Work 673
2 Design 674
2.1 Hardware 674
2.2 Firmware 674
2.3 Service Layer 674
3 Conclusions 676
4 Acknowledgments 676
References 676
101Real-Time Monitoring of ST Change for Telemedicine 677
Abstract. 677
Keywords: 677
1 Introduction 677
2 Related Studies 678
3 Proposed Method 678
3.1 Database 679
3.2 Feature Extraction 679
3.3 Classification 680
3.4 Results 680
4 Discussion and Conclusions 682
Acknowledgment 682
References 682
Plenary Lectures II - Session XII:BIOMEDICAL SIGNAL PROCESSING 3 684
102Micro cell culture analog Apparatus (uCCA) output prediction using microcontroller system based on a Artificial Neural Network 685
Abstract 685
Keywords 685
I Introduction 685
II Theoretical Considerations 686
III System Description 686
IV The Implementation 687
V Results and Discussion 687
VI Conclusion 688
References 688
103CLASSIFICATION OF PREDIABETES AND TYPE 2 DIABETES USING ARTIFICIAL NEURAL NETWORK 689
Abstract. 689
Keywords: 689
1 Introduction 689
2 Methods 690
2.1 Dataset for development of Artificial NeuralNetwork for classification of prediabetes anddiabetes type 2 690
2.2 Artificial Neural Network for classification of prediabetes and diabetes type 2 690
3 Results 691
3.1 Training performance of developed ANN 691
3.2 Testing performance of developed ANN 692
4 Conclusion 693
References 693
104Multi-biophysical event detection using blind source separated audio signals 694
Abstract. 694
1 Introduction 694
2 Background 694
3 Materials and Methods 695
4 Results 696
5 Discussion 697
6 Conclusion 700
References 700
105Diversity performance of microstrip patch antennas placed on human body at ISM and MBAN frequencies. 702
Abstract. 702
Keywords: 702
1 Introduction 702
2 Design and simulation of the microstripantenna placed on a body 702
3 Diversity measurements in the indoor environment for static and dynamic cases 703
4 Results and Conclusion 708
References 708
106Flexible system for HRV analysis using PPG signal 709
Abstract. 709
Keywords: 709
1 Introduction 709
2 Processing approach 710
3 Verification and comparison procedure 711
4 Experimental results 711
5 Conclusion and future work 714
6 Statements 714
References 716
Appendix 716
107AN APPLICATION OF KINECT DEPTH SENSOR FOR SCOLIOSIS AND KYPHOSIS SCREENING 717
Abstract. 717
Keywords: 717
1 Introduction 717
2 Material and Method 717
3 RESULTS AND DISCUSSION 718
3.1 Scoliosis evaluation 718
3.2 Kyphosis evaluation 720
4 CONCLUSIONS 720
References 721
108Development of a muscle activated switch for the severelydebilitated 722
Abstract. 722
Keywords: 722
1 INTRODUCTION 722
2 METHODOLOGY 722
2.1 The Existing System and Setup 723
2.2 Investigating EMG Signal Sensitivity 723
2.3 Statistical Measures of Performance 724
2.4 Detecting EMG Signals of Differing Magnitudes 724
3 RESULTS & DISCUSSION
3.2 Findings for detecting EMG Signals with differingmagnitudes and velocity 725
4 Conclusion 725
References 726
109A Dynamic Stopping Algorithm for P300 Based Brain Computer Interface Systems 727
Abstract. 727
Keywords: 727
1 INTRODUCTION 727
2 Mater?al and Method 728
2.1 Dataset I: BCI Competition III Dataset II 728
2.2 Dataset II: Region Based Paradigm 728
2.3 Signal Processing and Classification 729
3 Dynamic Stopping Algorithm 729
4 Results and Discussion 730
5 Conclusion 732
CONFLICT OF INTEREST 732
REFERENCES 732
Plenary Lectures II - Session XIII:PHARMACEUTICAL ENGINEERING 733
110Effects of various metal and drug agents on excretion of enzyme aspartyl proteinasein Candida albicans and its role in human physiological processes 734
Abstract. 734
Keywords 734
1 Introduction 734
2 Materials and Methods 735
2.1 Reagents, strains and growth conditions 735
2.2 Metal and drug supplements 735
2.3 Sample preparation and aspartyl proteinase assay 735
2.4 Determination of total protein amount (aspartyl proteinase) 735
3 Results and Discussion 735
3.1 Addition of iron supplements promotesC. albicans proliferation in vitro 735
3.2 Iron uptake by C. albicans induces itsaspartyl proteinase excretion 735
3.3 Analgesics are potential promoters of fungalvirulence and pathogenicity 736
3.4 Subinhibitory concentrations of antibiotics stimulate excretion of aspartyl proteinasein C. albicans 736
4 Conclusion 737
5 Declaration of Conflict Interests 737
References 737
111 practical Transport Optimization Method and Concept in Pharmaceutical Industry 739
Abstract. 739
Keyword: 739
1 Introduction 739
2 Case Study 740
3 Results Discussion 743
4 Conclusion and Future Research 745
References 745
112Antiproliferative Evaluation and Docking Study of Synthesized Biscoumarin Derivatives 747
Abstract. 747
Keywords: 747
1 INTRODUCTION 747
2 MATERIALS AND METHODS 747
Cell culturing 748
Proliferation assays 748
Docking study and physicochemical properties calculations 749
3 RESULTS AND DISCUSSION 749
4 CONCLUSIONS 757
REFERENCES 757
113Passive absorption prediction of transdermal drug application with Artificial Neural Network 759
Abstract 759
Keywords: 759
INTRODUCTION 759
Materials and methods 761
Results and discussion 762
CONCLUSION 763
References 763
114The role of population pharmacokinetic analysis in rational antibiotic therapy in neonates 765
ABSTRACT. 765
Keywords: 766
INTRODUCTION 766
METHODS 766
RESULTS 766
DISCUSSION AND CONCLUSION 769
CONFLICT OF INTEREST STATEMENT 770
REFERENCES 770
115The ratio of hematological parameters and markers of inflammation in patients with iron deficiency and pernicious anemia 772
ABSTRACT 772
Keywords 772
AIM: 772
MATERIALS AND METHODS: 772
RESULTS: 772
Introduction: 772
Metodology: 773
Equipment: 773
Results and discusion: 773
References: 776
116BLOOD GROUP, HYPERTENSION, AND OBESITY IN THE STUDENT POPULATION OF NORTHEAST BOSNIA AND HERZEGOVINA 777
Abstract 777
Keywords: 777
INTRODUCTION 777
MATERIALS AND METHODS 777
RESULTS 778
DISCUSSION 779
CONCLUSION 779
ACKNOWLEDGEMENTS 779
Conflict of interest 780
LITERATURE 780
Plenary Lectures II - Session XIV:GENETIC ENGINEERING 781
117Free fatty acid profile in Type 2 diabetic subjects with different control of glycemia 782
Abstract. 782
Keywords: 782
INTRODUCTION 782
MATERIALS AND METHODS 783
RESULTS 783
DISCUSSION 785
CONCLUSION 786
REFERENCES 786
118Clonal selection of autochthonous grape variety Vranac in Montenegro 788
Abstract. 788
Keywords 788
1 Introduction 788
2 Matherial and methods 789
3 Results 789
4 Discussion and conclusions 791
5 References 791
119A Dissimilar Approach to Associating Angiotensin Converting Enzyme Polymorphisms 792
Abstract. 792
Keywords: 792
1 Introduction 792
2 Methods 793
2.1 Genomic DNA isolation 793
2.2 Spectrophotometry 793
2.3 Quantification with Gel Electrophoresis 793
2.4 ACE Gene Amplification 793
2.5 Confirmatory Polymerase Chain Reaction 794
2.6 Polymerase Chain Reaction Product GelElectrophoresis 794
2.7 Genotyping 794
2.8 Artificial Neural Network Development 794
3 Results 794
4 Discussion 795
Conflict of Interest Declaration 795
Ethical Statement 795
References 795
120Successful collection of stem cells in one day in the process of autologous stem cell transplantation 797
Abstract. 797
Keywords: 797
1 Introduction 797
2 Material and methods 798
3 Results 798
4 Discussion: 800
Conflict of intrest 801
References 801
Author Index 803

Produkt-Details

• Erscheint lt. Verlag: 14.3.2017
• Reihe/Serie: IFMBE Proceedings
• Reihe/Serie: IFMBE Proceedings
• Zusatzinfo: XIX, 806 p. 489 illus.
• Verlagsort: Singapore
• Sprache: englisch
• Themenwelt: Mathematik / Informatik ► Informatik
• Themenwelt: Medizin / Pharmazie ► Pflege
• Themenwelt: Medizin / Pharmazie ► Physiotherapie / Ergotherapie ► Orthopädie
• Themenwelt: Technik ► Maschinenbau
• Themenwelt: Technik ► Medizintechnik
• Themenwelt: Technik ► Umwelttechnik / Biotechnologie
• Schlagworte: Bioinstrumentation • Biomedical Imaging • Biomedical Signal Processing • biosensors • CMBEBIH 2017 • Minimally Invasive Surgery • Neural and rehabilitation engineering • Pharmaceutical engineering • Tissue engineering
• ISBN-10: 981-10-4166-0 / 9811041660
• ISBN-13: 978-981-10-4166-2 / 9789811041662