Comparison of envelope interpolation techniques in Empirical Mode Decomposition (EMD) for eyeblink artifact removal from EEG
An electroencephalogram (EEG) signal is often contaminated by eye blink (EB) artifact generated during eye blinks. Empirical Mode Decomposition (EMD) is an algorithm to decompose an EEG signal into multiple oscillating functions, where the slow oscillation functions belongs to the EB artifact. Howev...
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Institute of Electrical and Electronics Engineers Inc.
2017
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my.utp.eprints.201622018-04-22T14:43:58Z Comparison of envelope interpolation techniques in Empirical Mode Decomposition (EMD) for eyeblink artifact removal from EEG Egambaram, A. Badruddin, N. Asirvadam, V.S. Begum, T. An electroencephalogram (EEG) signal is often contaminated by eye blink (EB) artifact generated during eye blinks. Empirical Mode Decomposition (EMD) is an algorithm to decompose an EEG signal into multiple oscillating functions, where the slow oscillation functions belongs to the EB artifact. However, the algorithm is relatively slow for real time processing due to the iterative nature of EMD and the fact that interpolation of large number of data points consumes a lot of computer resources. In this research work, the cubic Hermite spline interpolation (CHSI) and the Akima spline interpolation (ASI) are investigated for their performance and their ability to retain the decomposition accuracy compared to the classical EMD algorithm. The ASI has produced the highest correlation coefficient, lowest Root Mean Square Error (RMSE), lowest percentage root means square difference (PRD), better Signal to Noise Ratio (SNR) and faster computation time in decomposing an artificial EEG signal. These results have revealed that the ASI technique in EMD is more accurate and faster than the conventional Cubic spline interpolation (CSI) technique. © 2016 IEEE. Institute of Electrical and Electronics Engineers Inc. 2017 Article PeerReviewed https://www.scopus.com/inward/record.uri?eid=2-s2.0-85015615405&doi=10.1109%2fIECBES.2016.7843518&partnerID=40&md5=a5b0a0ffb107d95c3aa9cd7b7a6dedad Egambaram, A. and Badruddin, N. and Asirvadam, V.S. and Begum, T. (2017) Comparison of envelope interpolation techniques in Empirical Mode Decomposition (EMD) for eyeblink artifact removal from EEG. IECBES 2016 - IEEE-EMBS Conference on Biomedical Engineering and Sciences . pp. 590-595. http://eprints.utp.edu.my/20162/ |
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An electroencephalogram (EEG) signal is often contaminated by eye blink (EB) artifact generated during eye blinks. Empirical Mode Decomposition (EMD) is an algorithm to decompose an EEG signal into multiple oscillating functions, where the slow oscillation functions belongs to the EB artifact. However, the algorithm is relatively slow for real time processing due to the iterative nature of EMD and the fact that interpolation of large number of data points consumes a lot of computer resources. In this research work, the cubic Hermite spline interpolation (CHSI) and the Akima spline interpolation (ASI) are investigated for their performance and their ability to retain the decomposition accuracy compared to the classical EMD algorithm. The ASI has produced the highest correlation coefficient, lowest Root Mean Square Error (RMSE), lowest percentage root means square difference (PRD), better Signal to Noise Ratio (SNR) and faster computation time in decomposing an artificial EEG signal. These results have revealed that the ASI technique in EMD is more accurate and faster than the conventional Cubic spline interpolation (CSI) technique. © 2016 IEEE. |
| format |
Article |
| author |
Egambaram, A. Badruddin, N. Asirvadam, V.S. Begum, T. |
| spellingShingle |
Egambaram, A. Badruddin, N. Asirvadam, V.S. Begum, T. Comparison of envelope interpolation techniques in Empirical Mode Decomposition (EMD) for eyeblink artifact removal from EEG |
| author_facet |
Egambaram, A. Badruddin, N. Asirvadam, V.S. Begum, T. |
| author_sort |
Egambaram, A. |
| title |
Comparison of envelope interpolation techniques in Empirical Mode Decomposition (EMD) for eyeblink artifact removal from EEG |
| title_short |
Comparison of envelope interpolation techniques in Empirical Mode Decomposition (EMD) for eyeblink artifact removal from EEG |
| title_full |
Comparison of envelope interpolation techniques in Empirical Mode Decomposition (EMD) for eyeblink artifact removal from EEG |
| title_fullStr |
Comparison of envelope interpolation techniques in Empirical Mode Decomposition (EMD) for eyeblink artifact removal from EEG |
| title_full_unstemmed |
Comparison of envelope interpolation techniques in Empirical Mode Decomposition (EMD) for eyeblink artifact removal from EEG |
| title_sort |
comparison of envelope interpolation techniques in empirical mode decomposition (emd) for eyeblink artifact removal from eeg |
| publisher |
Institute of Electrical and Electronics Engineers Inc. |
| publishDate |
2017 |
| url |
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85015615405&doi=10.1109%2fIECBES.2016.7843518&partnerID=40&md5=a5b0a0ffb107d95c3aa9cd7b7a6dedad http://eprints.utp.edu.my/20162/ |
| _version_ |
1738656172494290944 |
| score |
13.250246 |