eprintid: 7366
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/00/73/66
datestamp: 2023-11-09 16:19:10
lastmod: 2023-11-09 16:19:10
status_changed: 2023-11-09 16:09:11
type: conference_item
metadata_visibility: show
creators_name: Egambaram, A.
creators_name: Badruddin, N.
creators_name: Asirvadam, V.S.
creators_name: Begum, T.
title: Comparison of envelope interpolation techniques in Empirical Mode Decomposition (EMD) for eyeblink artifact removal from EEG
ispublished: pub
keywords: Biomedical engineering; Electroencephalography; Engineering research; Interpolation; Iterative methods; Mean square error; Signal to noise ratio; Splines, CHSI; Correlation coefficient; Cubic-spline interpolation; Electroencephalogram signals; Empirical Mode Decomposition; Eye-blink artifact removals; Interpolation techniques; Root mean square errors, Signal processing
note: 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
abstract: 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.
date: 2016
publisher: Institute of Electrical and Electronics Engineers Inc.
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85015615405&doi=10.1109%2fIECBES.2016.7843518&partnerID=40&md5=a5b0a0ffb107d95c3aa9cd7b7a6dedad
id_number: 10.1109/IECBES.2016.7843518
full_text_status: none
publication: IECBES 2016 - IEEE-EMBS Conference on Biomedical Engineering and Sciences
pagerange: 590-595
refereed: TRUE
isbn: 9781467377911
citation:   Egambaram, A. and Badruddin, N. and Asirvadam, V.S. and Begum, T.  (2016) Comparison of envelope interpolation techniques in Empirical Mode Decomposition (EMD) for eyeblink artifact removal from EEG.  In: UNSPECIFIED.