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Wearable systems based gait monitori...

Gao, Shuo.

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Wearable systems based gait monitoring and analysis

Record Type:	Electronic resources : Monograph/item
Title/Author:	Wearable systems based gait monitoring and analysis/ by Shuo Gao ... [et al.].
other author:	Gao, Shuo.
Published:	Cham :Springer International Publishing : : 2022.,
Description:	xii, 238 p. :ill., digital ;24 cm.
[NT 15003449]:	Introduction -- Characteristics of Gait -- Wearable Gait Detection Technologies -- Gait Analysis Algorithms -- Medical Applications -- Occupational Applications. Conclusions.
Contained By:	Springer Nature eBook
Subject:	Biosensors. -
Online resource:	https://doi.org/10.1007/978-3-030-97332-2
ISBN:	9783030973322

Wearable systems based gait monitoring and analysis
Wearable systems based gait monitoring and analysis[electronic resource] /by Shuo Gao ... [et al.]. - Cham :Springer International Publishing :2022. - xii, 238 p. :ill., digital ;24 cm.

Introduction -- Characteristics of Gait -- Wearable Gait Detection Technologies -- Gait Analysis Algorithms -- Medical Applications -- Occupational Applications. Conclusions.

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. Provides students and practitioners with an overview of wearable gait monitoring techniques; Includes detailed insole sensor design considerations; Features engineering-based gait analysis methods.

ISBN: 9783030973322

Standard No.: 10.1007/978-3-030-97332-2doiSubjects--Topical Terms:

621001
Biosensors.

LC Class. No.: R857.B54

Dewey Class. No.: 610.28

Wearable systems based gait monitoring and analysis
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505 0 $a Introduction -- Characteristics of Gait -- Wearable Gait Detection Technologies -- Gait Analysis Algorithms -- Medical Applications -- Occupational Applications. Conclusions.
520 $a 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. Provides students and practitioners with an overview of wearable gait monitoring techniques; Includes detailed insole sensor design considerations; Features engineering-based gait analysis methods.
650 0 $a Biosensors. $3 621001
650 0 $a Gait in humans. $3 656067
650 1 4 $a Biomedical Engineering and Bioengineering. $3 3381533
650 2 4 $a Biomechanical Analysis and Modeling. $3 3595720
650 2 4 $a Medical and Health Technologies. $3 3595637
650 2 4 $a Human-Machine Interfaces. $3 3595721
650 2 4 $a Biomechanics. $3 548685
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