Selection of spectrogram's best window size in EMG signal during core lifting task
Electromyography (EMG) is one of the most commonly used tools to study human muscle condition. Past researchers have introduced various techniques from time distribution (TD), frequency distribution (FD) and time-frequency distribution (TFD) to extract inf...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Universiti Teknikal Malaysia Melaka
2018
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| Online Access: | http://psasir.upm.edu.my/id/eprint/73852/1/EMG.pdf |
| _version_ | 1825950260860551168 |
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| author | Shair, Ezreen Farina Ahmad, Siti Anom Abdullah, A. R. Marhaban, Mohammad Hamiruce Md Tamrin, Shamsul Bahri |
| author_facet | Shair, Ezreen Farina Ahmad, Siti Anom Abdullah, A. R. Marhaban, Mohammad Hamiruce Md Tamrin, Shamsul Bahri |
| author_sort | Shair, Ezreen Farina |
| collection | UPM |
| description | Electromyography (EMG) is one of the most commonly used tools to study human muscle condition. Past researchers have introduced various techniques from time distribution (TD), frequency distribution (FD) and time-frequency distribution (TFD) to extract information from this EMG signal. However,due to the complex characteristics of the EMG signal itself, TFD such as spectrogram has been widely used as it can provide both temporal and spectral information. However, since spectrogram has a fix window size, there exists a dilemma of resolution, where the too narrow window will result in a poor frequency resolution, and a too wide window will cause poor time resolution. Thus, this study aims to select the best window size to be used with spectrogram to monitor human muscle electrical activity during core lifting task. Four electrodes were placed over different types of muscles, which are the right and left biceps branchii (BB), and right and left erector spinae (ES). In this study, six window sizes (64, 128, 256, 512, 1024, and 2048) were used. The test has been done using two evaluating criteria, namely frequency resolution (Fr) and time resolution (Tr). The result shows that both window size of 512 and 1024 are acceptable, but the best window for this application is window size 512. |
| first_indexed | 2024-03-06T10:11:56Z |
| format | Article |
| id | upm.eprints-73852 |
| institution | Universiti Putra Malaysia |
| language | English |
| last_indexed | 2024-03-06T10:11:56Z |
| publishDate | 2018 |
| publisher | Universiti Teknikal Malaysia Melaka |
| record_format | dspace |
| spelling | upm.eprints-738522021-07-15T23:09:04Z http://psasir.upm.edu.my/id/eprint/73852/ Selection of spectrogram's best window size in EMG signal during core lifting task Shair, Ezreen Farina Ahmad, Siti Anom Abdullah, A. R. Marhaban, Mohammad Hamiruce Md Tamrin, Shamsul Bahri Electromyography (EMG) is one of the most commonly used tools to study human muscle condition. Past researchers have introduced various techniques from time distribution (TD), frequency distribution (FD) and time-frequency distribution (TFD) to extract information from this EMG signal. However,due to the complex characteristics of the EMG signal itself, TFD such as spectrogram has been widely used as it can provide both temporal and spectral information. However, since spectrogram has a fix window size, there exists a dilemma of resolution, where the too narrow window will result in a poor frequency resolution, and a too wide window will cause poor time resolution. Thus, this study aims to select the best window size to be used with spectrogram to monitor human muscle electrical activity during core lifting task. Four electrodes were placed over different types of muscles, which are the right and left biceps branchii (BB), and right and left erector spinae (ES). In this study, six window sizes (64, 128, 256, 512, 1024, and 2048) were used. The test has been done using two evaluating criteria, namely frequency resolution (Fr) and time resolution (Tr). The result shows that both window size of 512 and 1024 are acceptable, but the best window for this application is window size 512. Universiti Teknikal Malaysia Melaka 2018 Article PeerReviewed text en http://psasir.upm.edu.my/id/eprint/73852/1/EMG.pdf Shair, Ezreen Farina and Ahmad, Siti Anom and Abdullah, A. R. and Marhaban, Mohammad Hamiruce and Md Tamrin, Shamsul Bahri (2018) Selection of spectrogram's best window size in EMG signal during core lifting task. Journal of Telecommunication, Electronic and Computer Engineering, 10 (1-16). 81 - 85. ISSN 2180-1843; ESSN: 2289-8131 https://jtec.utem.edu.my/jtec/article/view/4099 |
| spellingShingle | Shair, Ezreen Farina Ahmad, Siti Anom Abdullah, A. R. Marhaban, Mohammad Hamiruce Md Tamrin, Shamsul Bahri Selection of spectrogram's best window size in EMG signal during core lifting task |
| title | Selection of spectrogram's best window size in EMG signal during core lifting task |
| title_full | Selection of spectrogram's best window size in EMG signal during core lifting task |
| title_fullStr | Selection of spectrogram's best window size in EMG signal during core lifting task |
| title_full_unstemmed | Selection of spectrogram's best window size in EMG signal during core lifting task |
| title_short | Selection of spectrogram's best window size in EMG signal during core lifting task |
| title_sort | selection of spectrogram s best window size in emg signal during core lifting task |
| url | http://psasir.upm.edu.my/id/eprint/73852/1/EMG.pdf |
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