Wearable and Wireless Systems for Healthcare I

Gait and Reflex Response Quantification

Robert LeMoyne, Timothy Mastroianni (Autoren)

Buch | Softcover

134 Seiten

2019 | Softcover Reprint of the Original 1st 2018 ed.
Springer Verlag, Singapore
978-981-13-5462-5 (ISBN)

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This book provides visionary perspective and interpretation regarding the role of wearable and wireless systems for the domain of gait and reflex response quantification. These observations are brought together in their application to smartphones and other portable media devices to quantify gait and reflex response in the context of machine learning for diagnostic classification and integration with the Internet of things and cloud computing. The perspective of this book is from the first-in-the-world application of these devices, as in smartphones, for quantifying gait and reflex response, to the current state of the art. Dr. LeMoyne has published multiple groundbreaking applications using smartphones and portable media devices to quantify gait and reflex response.

Dr. Robert LeMoyne is currently serving as an Adjunct Professor of Biology, Department of Biological Sciences and Center for Bioengineering Innovation for Northern Arizona University. At Northern Arizona University he is researching advanced technology for wearable and wireless systems for biomedical applications. He earned his PhD in Biomedical Engineering from University of California Los Angeles (UCLA) during 2010. From 2010 to 2012 he served Sandia National Laboratories, and since 2013 he has been serving Northern Arizona University. From a biomedical engineering perspective his research interests emphasize prosthetic technologies, machine learning applications, and wearable and wireless systems for biomedical applications, such as through smartphones and portable media devices, for accessing health status. Timothy Mastroianni is a Cognitive Scientist, Researcher, Entrepreneur. He is first to develop and use computer vision and pattern recognition in a non-invasive manner to discover the internal states of the random number generator in machines (HiLoClient). Later, he presented these algorithms and methods to Carnegie Mellon University to map the human brain using machine learning and fMRI to discover brain states during specific tasks.

Wearable and wireless systems for gait analysis and reflex quantification.- Traditional clinical evaluation of gait and reflex response by ordinal scale.- Quantification systems appropriate for a clinical setting.- The rise of inertial measurement units.- Portable wearable and wireless systems for gait and reflex response quantification.- Smartphones and portable media devices as wearable and wireless systems for gait and reflex response quantification.- Bluetooth inertial sensors for gait and reflex response quantification with perspectives regarding Cloud Computing and the Internet of Things.- Quantifying the spatial position representation of gait through sensor fusion.- Role of machine learning for gait and reflex response classification.- Homebound therapy with wearable and wireless systems.- Future perspective of Network Centric Therapy.

Erscheinungsdatum	19.12.2018
Reihe/Serie	Smart Sensors, Measurement and Instrumentation ; 27
Zusatzinfo	24 Illustrations, color; 10 Illustrations, black and white; XIV, 134 p. 34 illus., 24 illus. in color.
Verlagsort	Singapore
Sprache	englisch
Maße	155 x 235 mm
Themenwelt	Medizin / Pharmazie ► Physiotherapie / Ergotherapie
	Studium ► 1. Studienabschnitt (Vorklinik) ► Physiologie
	Technik ► Elektrotechnik / Energietechnik
	Technik ► Nachrichtentechnik
Schlagworte	gait analysis • Machine learning diagnostics • Reflex response • Smartphones and portable media devices • Wearable wireless systems
ISBN-10	981-13-5462-6 / 9811354626
ISBN-13	978-981-13-5462-5 / 9789811354625
Zustand	Neuware