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Wearable/personal monitoring devices present to future

Record Type:	Electronic resources : Monograph/item
Title/Author:	Wearable/personal monitoring devices present to futureedited by Gaetano D. Gargiulo, Ganesh R. Naik.
other author:	Gargiulo, Gaetano D.
Published:	Singapore :Springer Singapore :2022.
Description:	viii, 302 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Wearable technology.
Online resource:	https://doi.org/10.1007/978-981-16-5324-7
ISBN:	9789811653247$q(electronic bk.)

Wearable/personal monitoring devices present to future
Wearable/personal monitoring devices present to future[electronic resource] /edited by Gaetano D. Gargiulo, Ganesh R. Naik. - Singapore :Springer Singapore :2022. - viii, 302 p. :ill. (some col.), digital ;24 cm.

ECG Lead Reconstruction Methodologies for Remote Health Monitoring of Cardiovascular Diseases -- Brain-computer interface as a potential access method for communication in nonverbal children with cerebral palsy: a state-of-the-art review -- PPG based Non-invasive Methodologies for Pervasive Monitoring of Vitals: BP and HR -- Wearable sensor system to monitor the status of the automobile drivers -- Movement Analysis of Human Lower Limb using EMG Sensor for Effective Implementation of Artificial Lower Extremity -- Sleep Monitoring Wearables: Present to Future -- Non-invasive monitoring of health using sensor-rich wearables and smart devices -- Sleep Monitoring in Adults using Wearables and Unobtrusive Technology -- The CueMinder Project: Patient-driven wearable technology to improve quality of life -- IoT and Machine Learning Algorithms for Fall Detection -- Smart Home Automation Using Wearable Technology -- A novel architecture design for complex network measures of brain connectivity aiding diagnosis.

This book discusses recent advances in wearable technologies and personal monitoring devices, covering topics such as skin contact-based wearables (electrodes), non-contact wearables, the Internet of things (IoT), and signal processing for wearable devices. Although it chiefly focuses on wearable devices and provides comprehensive descriptions of all the core principles of personal monitoring devices, the book also features a section on devices that are embedded in smart appliances/furniture, e.g. chairs, which, despite their limitations, have taken the concept of unobtrusiveness to the next level. Wearable and personal devices are the key to precision medicine, and the medical community is finally exploring the opportunities offered by long-term monitoring of physiological parameters that are collected during day-to-day life without the bias imposed by the clinical environment. Such data offers a prime view of individuals' physical condition, as well as the efficacy of therapy and occurrence of events. Offering an in-depth analysis of the latest advances in smart and pervasive wearable devices, particularly those that are unobtrusive and invisible, and addressing topics not covered elsewhere, the book will appeal to medical practitioners and engineers alike.

ISBN: 9789811653247$q(electronic bk.)

Standard No.: 10.1007/978-981-16-5324-7doiSubjects--Topical Terms:

745911
Wearable technology.

LC Class. No.: R857.W43 / W43 2022

Dewey Class. No.: 610.28

Wearable/personal monitoring devices present to future
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300 $a viii, 302 p. : $b ill. (some col.), digital ; $c 24 cm.
505 0 $a ECG Lead Reconstruction Methodologies for Remote Health Monitoring of Cardiovascular Diseases -- Brain-computer interface as a potential access method for communication in nonverbal children with cerebral palsy: a state-of-the-art review -- PPG based Non-invasive Methodologies for Pervasive Monitoring of Vitals: BP and HR -- Wearable sensor system to monitor the status of the automobile drivers -- Movement Analysis of Human Lower Limb using EMG Sensor for Effective Implementation of Artificial Lower Extremity -- Sleep Monitoring Wearables: Present to Future -- Non-invasive monitoring of health using sensor-rich wearables and smart devices -- Sleep Monitoring in Adults using Wearables and Unobtrusive Technology -- The CueMinder Project: Patient-driven wearable technology to improve quality of life -- IoT and Machine Learning Algorithms for Fall Detection -- Smart Home Automation Using Wearable Technology -- A novel architecture design for complex network measures of brain connectivity aiding diagnosis.
520 $a This book discusses recent advances in wearable technologies and personal monitoring devices, covering topics such as skin contact-based wearables (electrodes), non-contact wearables, the Internet of things (IoT), and signal processing for wearable devices. Although it chiefly focuses on wearable devices and provides comprehensive descriptions of all the core principles of personal monitoring devices, the book also features a section on devices that are embedded in smart appliances/furniture, e.g. chairs, which, despite their limitations, have taken the concept of unobtrusiveness to the next level. Wearable and personal devices are the key to precision medicine, and the medical community is finally exploring the opportunities offered by long-term monitoring of physiological parameters that are collected during day-to-day life without the bias imposed by the clinical environment. Such data offers a prime view of individuals' physical condition, as well as the efficacy of therapy and occurrence of events. Offering an in-depth analysis of the latest advances in smart and pervasive wearable devices, particularly those that are unobtrusive and invisible, and addressing topics not covered elsewhere, the book will appeal to medical practitioners and engineers alike.
650 0 $a Wearable technology. $3 745911
650 0 $a Medical instruments and apparatus. $3 225233
650 0 $a Patient monitoring $x Equipment and supplies. $3 510256
650 1 4 $a Biomedical Engineering and Bioengineering. $3 826326
650 2 4 $a Electronics and Microelectronics, Instrumentation. $3 274412
650 2 4 $a Electronic Circuits and Devices. $3 495609
650 2 4 $a Measurement Science and Instrumentation. $3 376366
650 2 4 $a Pattern Recognition. $3 273706
650 2 4 $a Image Processing and Computer Vision. $3 274051
700 1 $a Gargiulo, Gaetano D. $3 917569
700 1 $a Naik, Ganesh R. $3 681526
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer Nature eBook
856 4 0 $u https://doi.org/10.1007/978-981-16-5324-7
950 $a Engineering (SpringerNature-11647)