000			03522nam a2200457 i 4500
999			_c384024 _d384024
001			384024
003			ES-MaUEC
005			20230102122213.0
006			a||||fo|||| 00| 0
007			cr nn 008mamaa
008			220316s2022 sz a o |||| 0|eng d
020			_a9783030973322
024	7		_a10.1007/978-3-030-97332-2 _2doi
040			_bspa _cES-MaUEC _dES-MaUEC
050		4	_aR857.B54 _b2022 EB
100	1		_aGao, Shuo _eautor _0(orcid)0000-0003-3096-4700 _1https://orcid.org/0000-0003-3096-4700 _4aut _4http://id.loc.gov/vocabulary/relators/aut _9678683
245	1	0	_aWearable Systems Based Gait Monitoring and Analysis _cby Shuo Gao, Junliang Chen, Yanning Dai, Boyi Hu
250			_a1st edition 2022
264		1	_aCham _bSpringer International Publishing _c2022
300			_a1 recurso en línea (XII, 238 páginas) _b99 ilustraciones, 81 ilustraciones a color
336			_atexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
347			_aarchivo de texto _bPDF
505	0		_aIntroduction -- Characteristics of Gait -- Wearable Gait Detection Technologies -- Gait Analysis Algorithms -- Medical Applications -- Occupational Applications. Conclusions.
520			_aWearable 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.
988			_aSpringer_Engineering_2022
650		7	_2embne _9158891 _aBiosensores
650		7	_2embne _9143820 _aIngeniería biomédica
700	1		_aChen, Junliang _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9685476
700	1		_aDai, Yanning _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9685477
700	1		_aHu, Boyi _eautor _0(orcid)0000-0002-7442-184X _1https://orcid.org/0000-0002-7442-184X _4aut _4http://id.loc.gov/vocabulary/relators/aut _9685478
776	0	8	_iPrinted edition: _z9783030973315
776	0	8	_iPrinted edition: _z9783030973339
776	0	8	_iPrinted edition: _z9783030973346
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-97332-2 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b11/2022 _dz _eb _zSI