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Wearable and wireless systems for he...
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LeMoyne, Robert.
Wearable and wireless systems for healthcare Igait and reflex response quantification /
Record Type:
Electronic resources : Monograph/item
Title/Author:
Wearable and wireless systems for healthcare Iby Robert LeMoyne, Timothy Mastroianni.
Reminder of title:
gait and reflex response quantification /
Author:
LeMoyne, Robert.
other author:
Mastroianni, Timothy.
Published:
Singapore :Springer Singapore :2018.
Description:
xiv, 134 p. :ill., digital ;24 cm.
Contained By:
Springer eBooks
Subject:
Medical telematics.
Online resource:
http://dx.doi.org/10.1007/978-981-10-5684-0
ISBN:
9789811056840$q(electronic bk.)
Wearable and wireless systems for healthcare Igait and reflex response quantification /
LeMoyne, Robert.
Wearable and wireless systems for healthcare I
gait and reflex response quantification /[electronic resource] :by Robert LeMoyne, Timothy Mastroianni. - Singapore :Springer Singapore :2018. - xiv, 134 p. :ill., digital ;24 cm. - Smart sensors, measurement and instrumentation,v.272194-8402 ;. - Smart sensors, measurement and instrumentation ;v.8..
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.
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.
ISBN: 9789811056840$q(electronic bk.)
Standard No.: 10.1007/978-981-10-5684-0doiSubjects--Topical Terms:
191608
Medical telematics.
LC Class. No.: TK5103.2 / .L45 2018
Dewey Class. No.: 621.382
Wearable and wireless systems for healthcare Igait and reflex response quantification /
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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.
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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.
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based on 0 review(s)
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EB TK5103.2 .L559 2018 2018.
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http://dx.doi.org/10.1007/978-981-10-5684-0
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