On the Applications of EMG Sensors and Signals

This reprint captures the latest advances in Electromyography (EMG) sensor development, EMG sensor applications, and EMG signal conditioning using theoretical and experimental approaches. This report is timely, as EMG sensors and signals have applications in many domains. This reprint provides a sna...

Full description

Saved in:
Bibliographic Details
Other Authors: Kamavuako, Ernest N. (Editor)
Format: Electronic Book Chapter
Language:English
Published: Basel MDPI - Multidisciplinary Digital Publishing Institute 2023
Subjects:
ADL
EMG
n/a
Online Access:DOAB: download the publication
DOAB: description of the publication
Tags: Add Tag
No Tags, Be the first to tag this record!

MARC

LEADER 00000naaaa2200000uu 4500
001 doab_20_500_12854_98979
005 20230405
003 oapen
006 m o d
007 cr|mn|---annan
008 20230405s2023 xx |||||o ||| 0|eng d
020 |a books978-3-0365-5990-2 
020 |a 9783036559896 
020 |a 9783036559902 
040 |a oapen  |c oapen 
024 7 |a 10.3390/books978-3-0365-5990-2  |c doi 
041 0 |a eng 
042 |a dc 
072 7 |a TB  |2 bicssc 
072 7 |a TBX  |2 bicssc 
100 1 |a Kamavuako, Ernest N.  |4 edt 
700 1 |a Kamavuako, Ernest N.  |4 oth 
245 1 0 |a On the Applications of EMG Sensors and Signals 
260 |a Basel  |b MDPI - Multidisciplinary Digital Publishing Institute  |c 2023 
300 |a 1 electronic resource (366 p.) 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
506 0 |a Open Access  |2 star  |f Unrestricted online access 
520 |a This reprint captures the latest advances in Electromyography (EMG) sensor development, EMG sensor applications, and EMG signal conditioning using theoretical and experimental approaches. This report is timely, as EMG sensors and signals have applications in many domains. This reprint provides a snapshot of several exciting EMG sensor and signal applications: swallowing, motion detection and prostheses control, muscle synergies, robotic exoskeleton, driver's behaviour, signal conditioning, and muscle assessment. 
540 |a Creative Commons  |f https://creativecommons.org/licenses/by/4.0/  |2 cc  |4 https://creativecommons.org/licenses/by/4.0/ 
546 |a English 
650 7 |a Technology: general issues  |2 bicssc 
650 7 |a History of engineering & technology  |2 bicssc 
653 |a human activity recognition 
653 |a surface electromyography 
653 |a inertial measurement units 
653 |a feature selection 
653 |a wearable sensors 
653 |a surface electromyogram 
653 |a prosthesis control 
653 |a wearable 
653 |a low-cost 
653 |a human fatigue monitoring 
653 |a neuromuscular fatigue 
653 |a surface electromyography time-frequency signal analysis 
653 |a time-series modeling 
653 |a autoregressive moving average model with exogenous inputs 
653 |a isometric contraction 
653 |a elbow extension 
653 |a stroke rehabilitation 
653 |a surface electromyography (sEMG) 
653 |a pattern recognition (PR) 
653 |a ankle joint movements 
653 |a home-based physical therapy 
653 |a lower limb functional recovery 
653 |a inspiratory threshold loading 
653 |a neuromechanical coupling 
653 |a parasternal intercostal muscles 
653 |a respiratory pressure 
653 |a surface mechanomyography 
653 |a Targeted Muscle Reinnervation (TMR) 
653 |a upper limb amputee 
653 |a prosthesis 
653 |a prosthetic control 
653 |a multi-DoF control 
653 |a pattern recognition 
653 |a myofascial pain syndrome 
653 |a trigger points 
653 |a electromyography 
653 |a deep dry needling 
653 |a ischemic pressure technique 
653 |a ADL 
653 |a EMG 
653 |a forearm muscles 
653 |a muscles role 
653 |a synergies 
653 |a muscle coordination 
653 |a muscle synergy 
653 |a MCR-ALS 
653 |a sparseness 
653 |a motor function 
653 |a stroke 
653 |a electromyogram 
653 |a exploratory data analysis 
653 |a wave train electrical activity analysis method 
653 |a wave trains 
653 |a wavelets 
653 |a signal processing 
653 |a AUC diagrams 
653 |a ROC analysis 
653 |a Parkinson's disease 
653 |a myoelectric prostheses 
653 |a embroidered EMG electrodes 
653 |a pilot study 
653 |a online and offline performance 
653 |a conventional gel electrodes 
653 |a artificial neural network 
653 |a exoskeleton 
653 |a assistive technology 
653 |a robotics 
653 |a hand gestures 
653 |a muscle synergies 
653 |a movements 
653 |a postures 
653 |a the central nervous system 
653 |a motor control 
653 |a the neural control 
653 |a electrode shift 
653 |a hand posture 
653 |a feature vector 
653 |a human-computer interaction 
653 |a armband sensor 
653 |a driver-automation shared control 
653 |a haptic guidance steering 
653 |a adaptive automation design 
653 |a driver distraction 
653 |a human machine interface 
653 |a robotcontrol 
653 |a EMG-control schemes 
653 |a swallowing events 
653 |a geriatrics 
653 |a hydration 
653 |a fluid intake 
653 |a classification model 
653 |a biomechanical simulation 
653 |a Granger causality 
653 |a functional coordination 
653 |a dysphagia 
653 |a swallowing muscle coupling 
653 |a n/a 
856 4 0 |a www.oapen.org  |u https://mdpi.com/books/pdfview/book/7041  |7 0  |z DOAB: download the publication 
856 4 0 |a www.oapen.org  |u https://directory.doabooks.org/handle/20.500.12854/98979  |7 0  |z DOAB: description of the publication