Estimation of wavelet threshold value for surface EMG baseline removal
High quality of surface electromyography is vital during investigation on muscle activity. Low quality of surface EMG signals causes extracted signals to be inaccurate and lead to misinterpretation and misclassification of the signals. A surface EMG signal quality is determined by the ratio of muscl...
| Main Authors: | , , , , , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
IEEE
2016
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| Online Access: | http://psasir.upm.edu.my/id/eprint/56467/ http://psasir.upm.edu.my/id/eprint/56467/1/Estimation%20of%20wavelet%20threshold%20value%20for%20surface%20EMG%20baseline%20removal.pdf |
| _version_ | 1848853091098558464 |
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| author | Jamaluddin, Nurul Fauzani Ahmad, Siti Anom Mohd Noor, Samsul Bahari Wan Hasan, Wan Zuha Yaacob, Azhar Adam, Yunus |
| author_facet | Jamaluddin, Nurul Fauzani Ahmad, Siti Anom Mohd Noor, Samsul Bahari Wan Hasan, Wan Zuha Yaacob, Azhar Adam, Yunus |
| author_sort | Jamaluddin, Nurul Fauzani |
| building | UPM Institutional Repository |
| collection | Online Access |
| description | High quality of surface electromyography is vital during investigation on muscle activity. Low quality of surface EMG signals causes extracted signals to be inaccurate and lead to misinterpretation and misclassification of the signals. A surface EMG signal quality is determined by the ratio of muscle contraction to its baseline during muscle relaxation period. Baseline noises are originated from powerline, cable motion artefact, electronics of the amplification systems and skin-electrode interface. The noises are quite difficult to be removed by digital or active filter since they do not have specific frequency range like powerline interference and corner frequency noise. However, wavelet de-noising enables users to remove noise by accessing both frequency and time information. Baseline surface EMG noise is possible to be removed by estimating de-noise threshold based on mean absolute value and root mean square of its baseline. The result of this study shows that the proposed estimation of threshold method is better than the conventional threshold setting. |
| first_indexed | 2025-11-15T10:48:27Z |
| format | Conference or Workshop Item |
| id | upm-56467 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T10:48:27Z |
| publishDate | 2016 |
| publisher | IEEE |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-564672017-08-01T08:47:25Z http://psasir.upm.edu.my/id/eprint/56467/ Estimation of wavelet threshold value for surface EMG baseline removal Jamaluddin, Nurul Fauzani Ahmad, Siti Anom Mohd Noor, Samsul Bahari Wan Hasan, Wan Zuha Yaacob, Azhar Adam, Yunus High quality of surface electromyography is vital during investigation on muscle activity. Low quality of surface EMG signals causes extracted signals to be inaccurate and lead to misinterpretation and misclassification of the signals. A surface EMG signal quality is determined by the ratio of muscle contraction to its baseline during muscle relaxation period. Baseline noises are originated from powerline, cable motion artefact, electronics of the amplification systems and skin-electrode interface. The noises are quite difficult to be removed by digital or active filter since they do not have specific frequency range like powerline interference and corner frequency noise. However, wavelet de-noising enables users to remove noise by accessing both frequency and time information. Baseline surface EMG noise is possible to be removed by estimating de-noise threshold based on mean absolute value and root mean square of its baseline. The result of this study shows that the proposed estimation of threshold method is better than the conventional threshold setting. IEEE 2016 Conference or Workshop Item PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/56467/1/Estimation%20of%20wavelet%20threshold%20value%20for%20surface%20EMG%20baseline%20removal.pdf Jamaluddin, Nurul Fauzani and Ahmad, Siti Anom and Mohd Noor, Samsul Bahari and Wan Hasan, Wan Zuha and Yaacob, Azhar and Adam, Yunus (2016) Estimation of wavelet threshold value for surface EMG baseline removal. In: 2016 IEEE-EMBS Conference on Biomedical Engineering and Sciences (IECBES), 4-8 Dec. 2016, Kuala Lumpur, Malaysia. (pp. 102-105). 10.1109/IECBES.2016.7843423 |
| spellingShingle | Jamaluddin, Nurul Fauzani Ahmad, Siti Anom Mohd Noor, Samsul Bahari Wan Hasan, Wan Zuha Yaacob, Azhar Adam, Yunus Estimation of wavelet threshold value for surface EMG baseline removal |
| title | Estimation of wavelet threshold value for surface EMG baseline removal |
| title_full | Estimation of wavelet threshold value for surface EMG baseline removal |
| title_fullStr | Estimation of wavelet threshold value for surface EMG baseline removal |
| title_full_unstemmed | Estimation of wavelet threshold value for surface EMG baseline removal |
| title_short | Estimation of wavelet threshold value for surface EMG baseline removal |
| title_sort | estimation of wavelet threshold value for surface emg baseline removal |
| url | http://psasir.upm.edu.my/id/eprint/56467/ http://psasir.upm.edu.my/id/eprint/56467/ http://psasir.upm.edu.my/id/eprint/56467/1/Estimation%20of%20wavelet%20threshold%20value%20for%20surface%20EMG%20baseline%20removal.pdf |