東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Wearable/personal monitoring devices...

Gargiulo, Gaetano D.

FindBook

Google Book

Amazon

博客來

Wearable/personal monitoring devices present to future

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Wearable/personal monitoring devices present to future/ edited by Gaetano D. Gargiulo, Ganesh R. Naik.
其他作者:	Gargiulo, Gaetano D.
出版者:	Singapore :Springer Singapore : : 2022.,
面頁冊數:	viii, 302 p. :ill. (some col.), digital ;24 cm.
內容註:	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.
Contained By:	Springer Nature eBook
標題:	Wearable technology. -
電子資源:	https://doi.org/10.1007/978-981-16-5324-7
ISBN:	9789811653247

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

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

2192953
Wearable technology.

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

Dewey Class. No.: 610.28

Wearable/personal monitoring devices present to future
LDR:03309nmm a2200325 a 4500 001 2296009
003 DE-He213
005 20211026133915.0
006 m d
007 cr nn 008maaau
008 230324s2022 si s 0 eng d
020 $a 9789811653247 $q (electronic bk.)
020 $a 9789811653230 $q (paper)
024 7 $a 10.1007/978-981-16-5324-7 $2 doi
035 $a 978-981-16-5324-7
040 $a GP $c GP
041 0 $a eng
050 4 $a R857.W43 $b W43 2022
072 7 $a MQW $2 bicssc
072 7 $a TEC059000 $2 bisacsh
072 7 $a MQW $2 thema
082 0 4 $a 610.28 $2 23
090 $a R857.W43 $b W362 2022
245 0 0 $a Wearable/personal monitoring devices present to future $h [electronic resource] / $c edited by Gaetano D. Gargiulo, Ganesh R. Naik.
260 $a Singapore : $b Springer Singapore : $b Imprint: Springer, $c 2022.
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 2192953
650 0 $a Medical instruments and apparatus. $3 672534
650 0 $a Patient monitoring $x Equipment and supplies. $3 1531773
650 1 4 $a Biomedical Engineering and Bioengineering. $3 3381533
650 2 4 $a Electronics and Microelectronics, Instrumentation. $3 893838
650 2 4 $a Electronic Circuits and Devices. $3 1245773
650 2 4 $a Measurement Science and Instrumentation. $3 1066390
650 2 4 $a Pattern Recognition. $3 891045
650 2 4 $a Image Processing and Computer Vision. $3 891070
700 1 $a Gargiulo, Gaetano D. $3 3590299
700 1 $a Naik, Ganesh R. $3 2068411
710 2 $a SpringerLink (Online service) $3 836513
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)