SpringerBriefs in Applied Sciences and Technology

Elderly Health Services and Remote Health Monitoring

Authors: Chen, L., Li, Y., Han, L., Yuan, L., Sun, Y., Tang, X.

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  • Presents selected problems in elderly health services and remote monitoring, including elderly health signal processing and rehabilitation assessment methods
  • Highlights typical methods, such as visual recognition and deep learning
  • Shares insights into important advances, including dynamic models and wearable devices
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eBook 42,79 €
price for China (P.R.) (gross)
  • ISBN 978-981-15-7154-1
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover 49,99 €
price for China (P.R.) (gross)
  • ISBN 978-981-15-7153-4
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  • Immediate ebook access, if available*, with your print order
  • Usually dispatched within 3 to 5 business days.
About this book

This book focuses on typical health services and remote monitoring methods, such as visual recognition and deep learning. Chiefly addressing the design and simulation of rehabilitation devices, and the evaluation of their effects on various diseases, it offers a valuable resource for professional researchers and graduate students in the fields of elderly medicine, signal processing, and rehabilitation.

About the authors

Lumin Chen received the B.S. degree from Sichuan University, Chengdu, China, in 1984; received the M.S. degree from Nanjing University of Aeronautics and Astronautics, China, in 1987; and received the Ph.D. degree from Tsinghua University, Beijing, China, in 2004. He was a Research Fellow with the University of Toronto, Canada, from 2007 to 2008. He is currently an Associate Dean with Mechanical and Electrical Engineering Institute, Zhengzhou University of Light Industry. He has published more than 40 journal articles and conference papers and contributed as co-authors to one book in his areas of interest. His research interests focus on mechanical system dynamics, electromechanical virtual simulation technology, wearable medical equipment, and medical signal processing.

Yihao Li received the B.S. and M.S. degrees from Chongqing University, Chongqing, China, in 2001 and 2004, respectively and received the Ph.D. degree from Huazhong University of Science and Technology, Wuhan, China, in 2013. He is currently a Deputy Director of Institute of Mechanical and Electrical Engineering, Zhengzhou University of Light Industry. He has published more than 10 journal articles and conference papers. His research interests focus on mechanical system dynamics, biomechanics, wearable medical equipment, and medical signal processing.

Lina Han received the B.S., M.S., and Ph.D. degrees from Jilin University, Jilin, China, in 1995, 2000, and 2003, respectively. She was a Postdoctoral Researcher with Chinese PLA General Hospital from 2003 to 2005 and a Research Fellow with Kyoto University, Kyoto, Japan, from 2008 to 2009. She is currently a Research Fellow with the Department of Cardiovascular Internal Medicine, National Clinical Research Center for Geriatric Diseases, the Second Medical Center, Chinese PLA General Hospital, and PLA School of Medicine. She has published more than 100 journal articles and conference papers and contributed as co-authors to two books in her areas of interest. Her research interests focus on 3D modeling on cardiovascular systems, medical digital image, wearable medical equipment, and medical signal processing.

Liang Yuan received his B.S. degree in engineering degrees from Zhengzhou University of Light Industry, Zhengzhou, China, in 2019. He has applied for two patents for invention. His main research interests focus on machine vision and data cross validation.

Yuxiang Sun received the B.S. and M.S. degrees from Zhengzhou University of Light Industry, Zhengzhou, China, in 2017 and 2020, respectively. He has published one journal article and applied for three patents for his invention. His research interests focus on wearable medical equipment, medical system dynamics and electromechanical virtual simulation technology.

Xiaolu Tang received the B.S. degree from Henan Agricultural University, Zhengzhou, China in 2016, and the M.S. degree from Zhengzhou University of Light Industry, Zhengzhou, China in 2019. She is currently an Assistant Engineer with the Luoyang Bearing Research Institute Co., Ltd. Her research interests focus on mechanical structure design of rehabilitation exoskeleton. 

Table of contents (7 chapters)

Table of contents (7 chapters)
  • Simulation and Experimental Analysis of Auxiliary Lower Extremity Exoskeleton

    Pages 1-13

    Chen, Lumin (et al.)

  • Generative Design and Simulation of the Exoskeleton in Patients with Scoliosis

    Pages 15-24

    Chen, Lumin (et al.)

  • Simulation and Research of Upper Limb Rehabilitation Evaluation System Based on Micro Inertial Sensor Network

    Pages 25-40

    Chen, Lumin (et al.)

  • Design and Simulation of Controllable Soft Drive for Exoskeleton Robot

    Pages 41-51

    Chen, Lumin (et al.)

  • Design and Simulation Analysis of Rigid-Flexible Hybrid Upper Limb Rehabilitation Mechanism

    Pages 53-63

    Chen, Lumin (et al.)

Buy this book

eBook 42,79 €
price for China (P.R.) (gross)
  • ISBN 978-981-15-7154-1
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover 49,99 €
price for China (P.R.) (gross)
  • ISBN 978-981-15-7153-4
  • Free shipping for individuals worldwide
  • Immediate ebook access, if available*, with your print order
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Elderly Health Services and Remote Health Monitoring
Authors
Series Title
SpringerBriefs in Applied Sciences and Technology
Copyright
2020
Publisher
Springer Singapore
Copyright Holder
The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
eBook ISBN
978-981-15-7154-1
DOI
10.1007/978-981-15-7154-1
Softcover ISBN
978-981-15-7153-4
Series ISSN
2191-530X
Edition Number
1
Number of Pages
X, 81
Number of Illustrations
14 b/w illustrations, 59 illustrations in colour
Topics

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