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Determining best window size for an improved Gabor transform in EMG signal analysis

Electromyography EMG is a standout amongst the most regularly utilized tools to study human muscle condition. But due to the intricate attributes of the EMG itself, time-frequency distributions such as Gabor transform and spectrogram are more preferred than the simpler time distribution and frequenc...

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Main Authors: Shair, Ezreen Farina, Ahmad, Siti Anom, Abdullah, A. R., Marhaban, Mohammad Hamiruce, Mohd Tamrin, Shamsul Bahri
Format: Article
Language:English
Published: Universitas Ahmad Dahlan 2018
Online Access:http://psasir.upm.edu.my/id/eprint/72223/1/9049-27982-1-PB.pdf
http://psasir.upm.edu.my/id/eprint/72223/
http://journal.uad.ac.id/index.php/TELKOMNIKA/article/view/9049
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spelling my.upm.eprints.722232020-04-19T10:04:12Z http://psasir.upm.edu.my/id/eprint/72223/ Determining best window size for an improved Gabor transform in EMG signal analysis Shair, Ezreen Farina Ahmad, Siti Anom Abdullah, A. R. Marhaban, Mohammad Hamiruce Mohd Tamrin, Shamsul Bahri Electromyography EMG is a standout amongst the most regularly utilized tools to study human muscle condition. But due to the intricate attributes of the EMG itself, time-frequency distributions such as Gabor transform and spectrogram are more preferred than the simpler time distribution and frequency distribution. These techniques have been broadly utilized as it can provide both time and frequency information. However, both techniques have a fix window size for all frequency values, thus there exist a problem of determination of the window size, where excessively limit window and too wide window, will result in poor frequency resolution and time resolution, respectively. Along these lines, the point of this study is to choose the best window size so as to be utilized with Gabor transform to screen human muscle activity during core-lifting task. Four electrodes were placed on the right and left biceps brachii, and left and right erector spinae. In this study, the results of five acceptable window sizes (300, 400, 430, 450 and 520) were shown, despite the fact that other window sizes were also tested. Three criteria have been considered during the determination of the best window size, which are good time resolution, good frequency resolution, and high accuracy. Results demonstrate that window size of 450 is the best compared to others. As an additional analysis, the result is compared to a spectrogram and it can be seen that Gabor transform is better, as it has the flexibility in choosing the window size, thus affects the resolution and accuracy. Universitas Ahmad Dahlan 2018 Article PeerReviewed text en http://psasir.upm.edu.my/id/eprint/72223/1/9049-27982-1-PB.pdf Shair, Ezreen Farina and Ahmad, Siti Anom and Abdullah, A. R. and Marhaban, Mohammad Hamiruce and Mohd Tamrin, Shamsul Bahri (2018) Determining best window size for an improved Gabor transform in EMG signal analysis. TELKOMNIKA (Telecommunication, Computing, Electronics and Control), 16 (4). 1650 - 1658. ISSN 1693-6930; ESSN: 2302-9293 http://journal.uad.ac.id/index.php/TELKOMNIKA/article/view/9049 10.12928/TELKOMNIKA.v16i4.9049
institution Universiti Putra Malaysia
building UPM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Putra Malaysia
content_source UPM Institutional Repository
url_provider http://psasir.upm.edu.my/
language English
description Electromyography EMG is a standout amongst the most regularly utilized tools to study human muscle condition. But due to the intricate attributes of the EMG itself, time-frequency distributions such as Gabor transform and spectrogram are more preferred than the simpler time distribution and frequency distribution. These techniques have been broadly utilized as it can provide both time and frequency information. However, both techniques have a fix window size for all frequency values, thus there exist a problem of determination of the window size, where excessively limit window and too wide window, will result in poor frequency resolution and time resolution, respectively. Along these lines, the point of this study is to choose the best window size so as to be utilized with Gabor transform to screen human muscle activity during core-lifting task. Four electrodes were placed on the right and left biceps brachii, and left and right erector spinae. In this study, the results of five acceptable window sizes (300, 400, 430, 450 and 520) were shown, despite the fact that other window sizes were also tested. Three criteria have been considered during the determination of the best window size, which are good time resolution, good frequency resolution, and high accuracy. Results demonstrate that window size of 450 is the best compared to others. As an additional analysis, the result is compared to a spectrogram and it can be seen that Gabor transform is better, as it has the flexibility in choosing the window size, thus affects the resolution and accuracy.
format Article
author Shair, Ezreen Farina
Ahmad, Siti Anom
Abdullah, A. R.
Marhaban, Mohammad Hamiruce
Mohd Tamrin, Shamsul Bahri
spellingShingle Shair, Ezreen Farina
Ahmad, Siti Anom
Abdullah, A. R.
Marhaban, Mohammad Hamiruce
Mohd Tamrin, Shamsul Bahri
Determining best window size for an improved Gabor transform in EMG signal analysis
author_facet Shair, Ezreen Farina
Ahmad, Siti Anom
Abdullah, A. R.
Marhaban, Mohammad Hamiruce
Mohd Tamrin, Shamsul Bahri
author_sort Shair, Ezreen Farina
title Determining best window size for an improved Gabor transform in EMG signal analysis
title_short Determining best window size for an improved Gabor transform in EMG signal analysis
title_full Determining best window size for an improved Gabor transform in EMG signal analysis
title_fullStr Determining best window size for an improved Gabor transform in EMG signal analysis
title_full_unstemmed Determining best window size for an improved Gabor transform in EMG signal analysis
title_sort determining best window size for an improved gabor transform in emg signal analysis
publisher Universitas Ahmad Dahlan
publishDate 2018
url http://psasir.upm.edu.my/id/eprint/72223/1/9049-27982-1-PB.pdf
http://psasir.upm.edu.my/id/eprint/72223/
http://journal.uad.ac.id/index.php/TELKOMNIKA/article/view/9049
_version_ 1665895991888314368
score 13.211869

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