Wearable Systems Based Gait Monitoring and Analysis (Hardcover, 1st ed. 2022)

Wearable Systems Based Gait Monitoring and Analysis provides a thorough overview of wearable gait monitoring techniques and their use in health analysis. The text starts with an examination of the relationship between the human body's physical condition and gait, and then introduces and explains nine mainstream sensing mechanisms, including piezoresistive, resistive, capacitive, piezoelectric, inductive, optical, air pressure, EMG and IMU-based architectures. Gait sensor design considerations in terms of geometry and deployment are also introduced. Diverse processing algorithms for manipulating sensors outputs to transform raw data to understandable gait features are discussed. Furthermore, gait analysis-based health monitoring demonstrations are given at the end of this book, including both medical and occupational applications. The book will enable students of biomedical engineering, electrical engineering, signal processing, and ergonomics and practitioners to understand the medical and occupational applications of engineering-based gait analysis and falling injury prevention methods.

General

Imprint:	Springer Nature Switzerland AG
Country of origin:	Switzerland
Release date:	March 2022
First published:	2022
Authors:	Shuo Gao • Junliang Chen • Yanning Dai • Boyi Hu
Dimensions:	235 x 155mm (L x W)
Format:	Hardcover
Pages:	238
Edition:	1st ed. 2022
ISBN-13:	978-3-03-097331-5
Categories:	Books > Computing & IT > Social & legal aspects of computing > Human-computer interaction Books > Medicine > Nursing & ancillary services > Biomedical engineering > General Books > Science & Mathematics > Physics > Applied physics & special topics > Biophysics Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > Applied optics > General
LSN:	3-03-097331-X
Barcode:	9783030973315

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