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Wearable systems based gait monitoring and analysis

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Wearable systems based gait monitoring and analysisby Shuo Gao ... [et al.].
其他作者:	Gao, Shuo.
出版者:	Cham :Springer International Publishing :2022.
面頁冊數:	xii, 238 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
標題:	Biosensors.
電子資源:	https://doi.org/10.1007/978-3-030-97332-2
ISBN:	9783030973322$q(electronic bk.)

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$q(electronic bk.)

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

188824
Biosensors.

LC Class. No.: R857.B54

Dewey Class. No.: 610.28

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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.
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