Proceedings of the 4th Borobudur International Symposium on Science and Technology 2022 (BIS-STE 2022)

EMG Signal Measurement of Flexor Carpi Radialis Muscle in Post Stroke Patients and Normal Individuals Using Time Domain and Frequency Domain Feature Extraction

Authors
Agung Pamungkas1, *, Lobes Herdiman1, Susy Susmartini1
1Industrial Engineering Department, Faculty of Engineering, Universitas Sebelas Maret, Surakarta, Indonesia
*Corresponding author. Email: pamungkas.agung813816@gmail.com
Corresponding Author
Agung Pamungkas
Available Online 9 November 2023.
DOI
10.2991/978-94-6463-284-2_42How to use a DOI?
Keywords
Stroke Patient; Flexor Carpi Radialis Muscle; EMG Signals
Abstract

Stroke patient increase with 50% motor deficit disability. Therapists identify muscle conditions conventionally with a subjective approach, especially in post-stroke patients by measuring the flexor carpi radialis muscles. There has been no measurement of the flexor carpi radialis muscle in the intervention during rehabilitation. Study to quantify the flexor carpi radialis muscle strength in grasping movements between post-stroke patients and normal individuals needed. EMG signals measure using Bitalino tools. Measurements of the flexor carpi radialis muscle in post-stroke patients and normal individuals involve 18 subjects. Palm muscle grip strength using a hand grip dynamometer and flexor carpi radialis muscle tension utilizing EMG signal amplitude with Bitalino. Muscle tension is measured based on the time domain and frequency domain. EMG Signal measure through raw signal acquisition stage, signal pre-processing includes filtering, windowing, rectification and smoothing. The EMG signal extraction stage use Matlab software with a bandpass filter at a cut-off frequency below 30 Hz and above 600 Hz, a sampling rate of 1000 Hz. Savitz-Golay statistics on the smoothing stage to get more precise signals. Comparison between post-stroke patients and normal individuals to grip strength obtained range 3,1 - 11,5 kg (27,8 - 35,0 kg). EMG signal measurements in time domains include IEMG 43.236 – 90.574 µV (139.434 - 525.172 µV), MAV 4,323 - 9,056 µV (13,942 – 52,512 µV), SSI 587.520 – 1.275.884 µV (2.805.717 – 33.917.112 µV), VAR 58,752 – 127,588 (280,571 – 3.391,711), RMS 7,664 – 11,294 µV (16,749 – 58,235 µV), WL 1.984 – 5.204 µV (155 – 1.449 µV), COV 0,745 – 1,519 µV (0,479 – 0,781 µV), AE 58,746 – 127,575 µV (280,543 – 3.391,372). Frequency domain includes MNF 0.035 – 0.051 µV (0.010 µV), MDF 0.001 – 0.017 µV (0,001 – 0,003 µV). There is a difference in grip strength between post-stroke patients and normal individuals. Bitalino can measure EMG signals on the flexor carpi radialis muscle with precision.

Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 4th Borobudur International Symposium on Science and Technology 2022 (BIS-STE 2022)
Series
Advances in Engineering Research
Publication Date
9 November 2023
ISBN
10.2991/978-94-6463-284-2_42
ISSN
2352-5401
DOI
10.2991/978-94-6463-284-2_42How to use a DOI?
Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

TY  - CONF
AU  - Agung Pamungkas
AU  - Lobes Herdiman
AU  - Susy Susmartini
PY  - 2023
DA  - 2023/11/09
TI  - EMG Signal Measurement of Flexor Carpi Radialis Muscle in Post Stroke Patients and Normal Individuals Using Time Domain and Frequency Domain Feature Extraction
BT  - Proceedings of the 4th Borobudur International Symposium on Science and Technology 2022 (BIS-STE 2022)
PB  - Atlantis Press
SP  - 365
EP  - 374
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6463-284-2_42
DO  - 10.2991/978-94-6463-284-2_42
ID  - Pamungkas2023
ER  -