TY  - CONF
AV  - none
TI  - Comparison of envelope interpolation techniques in Empirical Mode Decomposition (EMD) for eyeblink artifact removal from EEG
ID  - scholars7366
SP  - 590
KW  - Biomedical engineering; Electroencephalography; Engineering research; Interpolation; Iterative methods; Mean square error; Signal to noise ratio; Splines
KW  -  CHSI; Correlation coefficient; Cubic-spline interpolation; Electroencephalogram signals; Empirical Mode Decomposition; Eye-blink artifact removals; Interpolation techniques; Root mean square errors
KW  -  Signal processing
N2  - 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.
N1  - cited By 9; Conference of 2016 IEEE-EMBS Conference on Biomedical Engineering and Sciences, IECBES 2016 ; Conference Date: 4 December 2016 Through 8 December 2016; Conference Code:126362
PB  - Institute of Electrical and Electronics Engineers Inc.
SN  - 9781467377911
Y1  - 2016///
EP  - 595
A1  - Egambaram, A.
A1  - Badruddin, N.
A1  - Asirvadam, V.S.
A1  - Begum, T.
UR  - https://www.scopus.com/inward/record.uri?eid=2-s2.0-85015615405&doi=10.1109%2fIECBES.2016.7843518&partnerID=40&md5=a5b0a0ffb107d95c3aa9cd7b7a6dedad
ER  -