TECHNOLOGY-ENABLED MOTION SENSING AND ACTIVITY TRACKING FOR REHABILITATION

This book concentrates on sensing and measurement technologies for rehabilitation applications. The book looks at motion sensing technologies, human motion and exogames and healthcare applications including speech, respiration, and recovery from stroke or accident.

Saved in:
Bibliographic Details
Main Author: ZHAO, WENBING.
Format: Electronic
Language: English
Published: [S.l.] : INST OF ENGIN AND TECH, 2023.
Subjects:
ISBN: 9781839534119
1839534117
1839534109
9781839534102
Physical Description: 1 online resource

Cover

Table of contents

LEADER 04758cam a2200433M 4500
001 kn-on1375538215
003 OCoLC
005 20240717213016.0
006 m o d
007 cr cn|||||||||
008 230413s2023 xx o 0|| 0 eng d
040 |a YDX  |b eng  |c YDX  |d UIU  |d EBLCP  |d FTU  |d UKAHL  |d OCLCF  |d OCLCQ  |d OCLCO  |d OCLCQ  |d NUI 
020 |a 9781839534119  |q (electronic bk.) 
020 |a 1839534117  |q (electronic bk.) 
020 |z 1839534109 
020 |z 9781839534102 
035 |a (OCoLC)1375538215 
100 1 |a ZHAO, WENBING. 
245 1 0 |a TECHNOLOGY-ENABLED MOTION SENSING AND ACTIVITY TRACKING FOR REHABILITATION  |h [electronic resource]. 
260 |a [S.l.] :  |b INST OF ENGIN AND TECH,  |c 2023. 
300 |a 1 online resource 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
505 0 |a Intro -- Title -- Copyright -- Contents -- About the author -- List of figures -- List of tables -- Introduction -- Part I Motion sensing technologies -- 1 Inertial measurement units -- 1.1 Accelerometer -- 1.2 Gyroscope -- 1.3 Magnetometer -- 1.4 Rehabilitation studies using IMUs -- 1.4.1 Studies using low-level IMUs -- 1.4.2 Studies using prepackaged professional sensors containing IMUs -- 1.4.3 Studies using consumer-grade devices containing IMUs -- 1.4.4 Studies using wearable trackers -- 2 Force and pressure sensing -- 2.1 Types of pressure sensors -- 2.1.1 Piezoelectric pressure sensors 
505 8 |a 2.1.2 Resistive pressure sensors -- 2.1.3 Capacitive pressure sensors -- 2.1.4 Optical pressure sensors -- 2.2 Applications in motion tracking for rehabilitation -- 2.2.1 Epionics SPINE system -- 2.2.2 Force plates -- 2.2.3 Smart insoles and smart shoes -- 2.3 Energy harvesting in smart shoes -- 3 E-Textile-based sensing -- 3.1 Conductive elastomer -- 3.1.1 Working principle -- 3.1.2 Attaching conductive elastomer to fabric -- 3.1.3 Motion tracking with conductive elastomer -- 3.1.4 New development -- 3.2 Commercial elastic sensors -- 3.3 Other approaches 
505 8 |a 4 Muscle activity sensing with myography -- 4.1 Electromyography -- 4.1.1 EMG in upper-extremity stroke therapy -- 4.1.2 EMG in recovery progress evaluation of anterior cruciate ligament reconstructed subjects -- 4.2 Machanomyography -- 4.3 Force myography -- 4.4 Optical myography -- 4.5 Summary -- 5 Vision-based motion sensing -- 5.1 Microsoft Kinect sensor -- 5.2 Feasibility studies of using Kinect in rehabilitation -- 5.3 Kinect-based systems in rehabilitation -- 5.3.1 Kinect-based system with visual feedback only -- 5.3.2 Kinect-based system with performance quality feedback 
505 8 |a 5.3.3 Integration of Kinect and other sensing modalities -- 5.4 Beyond Kinect -- 6 Instrumented gloves -- 6.1 Gloves based on IMUs -- 6.1.1 Calibration -- 6.1.2 Signal processing -- 6.1.3 Reference systems for evaluation -- 6.1.4 Accuracy evaluation -- 6.1.5 Repeatability and reliability evaluation -- 6.1.6 Classification of activities -- 6.2 Gloves based on flex sensors -- 6.3 Gloves based on optical sensors -- 6.3.1 FBG-based approach -- 6.3.2 Light-attenuation-based approach -- 6.3.3 Optical linear encoder -- 6.4 Gloves based on Hall effect -- Part II Human motion recognition and exergames 
505 8 |a 7 Measurement of basic parameters -- 7.1 Mechanics of body movements -- 7.1.1 Anatomical planes -- 7.1.2 Joints and their movements -- 7.1.3 Range of motion -- 7.2 Joint angle measurement with various sensing modalities -- 7.2.1 Joint angle measurement with IMU -- 7.2.2 Joint angle measurement with Kinect -- 7.3 Measurement theories -- 7.4 Evaluating a new measurement instrument -- 7.4.1 Root mean square error -- 7.4.2 Student's t-test -- 7.4.3 Pearson's coefficient of correlation -- 7.4.4 Intraclass correlation coefficient -- 7.4.5 Bland-Altman limits of agreement 
506 |a Plný text je dostupný pouze z IP adres počítačů Univerzity Tomáše Bati ve Zlíně nebo vzdáleným přístupem pro zaměstnance a studenty 
520 |a This book concentrates on sensing and measurement technologies for rehabilitation applications. The book looks at motion sensing technologies, human motion and exogames and healthcare applications including speech, respiration, and recovery from stroke or accident. 
590 |a Knovel  |b Knovel (All titles) 
650 0 |a Motion detectors. 
650 0 |a Machine learning. 
650 0 |a Medical rehabilitation. 
655 7 |a elektronické knihy  |7 fd186907  |2 czenas 
655 9 |a electronic books  |2 eczenas 
776 0 8 |c Original  |z 1839534109  |z 9781839534102  |w (OCoLC)1369598585 
856 4 0 |u https://proxy.k.utb.cz/login?url=https://app.knovel.com/hotlink/toc/id:kpTEMSATR1/technology-enabled-motion?kpromoter=marc  |y Full text