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  4. Smart Armband with Graphene Textile Electrodes for EMG-based Muscle Fatigue Monitoring
 
conference paper

Smart Armband with Graphene Textile Electrodes for EMG-based Muscle Fatigue Monitoring

Ozturk, Ozberk
•
Golparvar, Ata  
•
Yapici, Murat Kaya
January 1, 2021
2021 Ieee Sensors
20th IEEE Sensors Conference

We report the successful acquisition of surface electromyography (sEMG) signals from an intelligent armband and its application in localized muscle fatigue monitoring with a costume-designed, small-scale front-end readout circuitry. The correlation coefficient of the graphene-based textile electrodes in benchmarking against Ag/AgCl electrodes is recorded to be similar to 97%. SNR values for Ag/AgCl and graphene textile electrodes were 15.9 dB and 14.3 dB, respectively. The muscle fatigue experiment was an isometric contraction conducted on the right biceps brachii of subjects. The recorded signal showed indications of localized muscle fatigue with an apparent increase in the total band energy and decreased instantaneous median frequency (IMF) with linear regression slopes of 0.0082 mV(2)/s and -0.19 Hz/s, respectively. Recorded promising results show that graphene textiles can be applied as practical sensing elements for wearable sEMG acquisition and enable novel applications such as muscle fatigue monitoring.

  • Details
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Type
conference paper
DOI
10.1109/SENSORS47087.2021.9639564
Web of Science ID

WOS:000755468300091

Author(s)
Ozturk, Ozberk
Golparvar, Ata  
Yapici, Murat Kaya
Date Issued

2021-01-01

Publisher

IEEE

Publisher place

New York

Published in
2021 Ieee Sensors
ISBN of the book

978-1-7281-9501-8

Series title/Series vol.

IEEE Sensors

Subjects

Engineering, Electrical & Electronic

•

Remote Sensing

•

Engineering

•

emg

•

e-textile

•

fatigue

•

graphene

•

wearable

•

time-frequency methods

•

median frequency

Editorial or Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
ICLAB  
Event nameEvent placeEvent date
20th IEEE Sensors Conference

ELECTR NETWORK

Oct 31-Nov 04, 2021

Available on Infoscience
February 28, 2022
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/185850
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