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Wearable and Wireless Systems for Healthcare I (eBook)

Gait and Reflex Response Quantification
Artikelnummer: 978-981-10-5684-0
Einband: PDF
Verfügbarkeit: Download, sofort verfügbar (Link per E-Mail)
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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.


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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VerlagSpringer Nature Singapore
EinbandPDF
Erscheinungsjahr2017
Seitenangabe134 S.
AusgabekennzeichenEnglisch
AbbildungenXIV, 134 p. 34 illus., 24 illus. in color.
Masse3'542 KB
PlattformPDF
ReiheSmart Sensors, Measurement and Instrumentation
AutorLemoyne, Robert / Mastroianni, Timothy

Alle Bände der Reihe "Smart Sensors, Measurement and Instrumentation"

Über den Autor Robert Lemoyne

Dr. Robert LeMoyne presently is an Adjunct Professor for Northern Arizona University for the Department of Biological Sciences and an Adjunct Professor for Czech Technical University in Prague for the Department of Biomedical Technology. Dr. LeMoyne is researching advanced concepts for prosthetic technology, such as machine learning, which is an aspect of artificial intelligence. His Ph.D. in Biomedical Engineering was earned at University of California Los Angeles (UCLA) (2010). He has first authored more than 150 technical proceedings, including six books, which have been cited more than 2000 times, spanning a broad array of subjects, such as an assortment of applications for advanced concepts for prosthetic technology. Timothy Mastroianni is a cognitive scientist, researcher, and entrepreneur. He pioneered the non-invasive use of computer vision and pattern recognition to uncover the internal states of random number generators in machines (HiLoClient2002). Mastroianni developed the first model and algorithms capable of predicting a person's thoughts using machine learning and fMRI, presenting these groundbreaking methods at Carnegie Mellon University to map the human brain and identify brain states during specific tasks. He is also the founder of Cognition Engineering, a subsidiary of Cognition International LLC.

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