Combination of EEMD and morphological filtering for baseline wander correction in EMG signals
This paper aims at proposing an effective method for Baseline Wander removal from the EMG signals. Ensemble Empirical Mode Decomposition (EEMD) Algorithm is first applied to the baseline corrupted EMG signals to decompose them into Intrinsic Mode Functions (IMFs). After this step, morphological filt...
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my.utm.818182019-09-29T08:13:20Z http://eprints.utm.my/id/eprint/81818/ Combination of EEMD and morphological filtering for baseline wander correction in EMG signals Tiwari, Deepak Kumar Bhateja, Vikrant Anand, Deeksha Srivastava, Ashita Omar, Zaid TK Electrical engineering. Electronics Nuclear engineering This paper aims at proposing an effective method for Baseline Wander removal from the EMG signals. Ensemble Empirical Mode Decomposition (EEMD) Algorithm is first applied to the baseline corrupted EMG signals to decompose them into Intrinsic Mode Functions (IMFs). After this step, morphological filtering employing octagon-shaped structuring element has been applied to filter out each IMF. Finally, the results of the proposed filtering methodology are compared with those of EMD- and EEMD-based filtering methods. Simulation results report that the methodology used in this study has eliminated the baseline wander from EMG signals with minimal distortions. 2018 Conference or Workshop Item PeerReviewed Tiwari, Deepak Kumar and Bhateja, Vikrant and Anand, Deeksha and Srivastava, Ashita and Omar, Zaid (2018) Combination of EEMD and morphological filtering for baseline wander correction in EMG signals. In: 2nd International Conference on Micro-Electronics, Electromagnetics and Telecommunications, ICMEET 2016, 6 January 2017 through 7 January 2017, Visakhapatnam, India. http://dx.doi.org/10.1007/978-981-10-4280-5_38 |
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TK Electrical engineering. Electronics Nuclear engineering Tiwari, Deepak Kumar Bhateja, Vikrant Anand, Deeksha Srivastava, Ashita Omar, Zaid Combination of EEMD and morphological filtering for baseline wander correction in EMG signals |
description |
This paper aims at proposing an effective method for Baseline Wander removal from the EMG signals. Ensemble Empirical Mode Decomposition (EEMD) Algorithm is first applied to the baseline corrupted EMG signals to decompose them into Intrinsic Mode Functions (IMFs). After this step, morphological filtering employing octagon-shaped structuring element has been applied to filter out each IMF. Finally, the results of the proposed filtering methodology are compared with those of EMD- and EEMD-based filtering methods. Simulation results report that the methodology used in this study has eliminated the baseline wander from EMG signals with minimal distortions. |
format |
Conference or Workshop Item |
author |
Tiwari, Deepak Kumar Bhateja, Vikrant Anand, Deeksha Srivastava, Ashita Omar, Zaid |
author_facet |
Tiwari, Deepak Kumar Bhateja, Vikrant Anand, Deeksha Srivastava, Ashita Omar, Zaid |
author_sort |
Tiwari, Deepak Kumar |
title |
Combination of EEMD and morphological filtering for baseline wander correction in EMG signals |
title_short |
Combination of EEMD and morphological filtering for baseline wander correction in EMG signals |
title_full |
Combination of EEMD and morphological filtering for baseline wander correction in EMG signals |
title_fullStr |
Combination of EEMD and morphological filtering for baseline wander correction in EMG signals |
title_full_unstemmed |
Combination of EEMD and morphological filtering for baseline wander correction in EMG signals |
title_sort |
combination of eemd and morphological filtering for baseline wander correction in emg signals |
publishDate |
2018 |
url |
http://eprints.utm.my/id/eprint/81818/ http://dx.doi.org/10.1007/978-981-10-4280-5_38 |
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1651866366280466432 |
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13.159267 |