Wearable and Wireless Systems for Healthcare I: Gait and Reflex Response Quantification: Smart Sensors, Measurement and Instrumentation, cartea 27
Autor Robert LeMoyne, Timothy Mastroiannien Limba Engleză Paperback – 9 feb 2019
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.
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Specificații
ISBN-13: 9789811354625
ISBN-10: 9811354626
Pagini: 134
Ilustrații: XIV, 134 p. 34 illus., 24 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.22 kg
Ediția:2018
Editura: Springer Nature Singapore
Colecția Springer
Seria Smart Sensors, Measurement and Instrumentation
Locul publicării:Singapore, Singapore
ISBN-10: 9811354626
Pagini: 134
Ilustrații: XIV, 134 p. 34 illus., 24 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.22 kg
Ediția:2018
Editura: Springer Nature Singapore
Colecția Springer
Seria Smart Sensors, Measurement and Instrumentation
Locul publicării:Singapore, Singapore
Cuprins
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.
Notă biografică
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.
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.
Textul de pe ultima copertă
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.
Caracteristici
Provides a global perspective, revealing unique utilities of a novel domain Develops readers' skills for the utilization in the biomedical/health industry Describes both the evolution and envisioned future advances in the field