Share Email Print

Proceedings Paper

Artifact removal for physiological signals via wavelets
Author(s): En-Bing Lin; Oluremi Abayomi; Keshab Dahal; Patrick Davis; Nonhle Channon Mdziniso
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

In order to analyze brain activity signals, it is important to remove any artifact of the obtained data so that we can further provide diagnosis of possible symptoms. There are many different ways to do denoising of the given signals. In this paper, we test several biosignals and obtain an optimal ways to denoise the data and perform time frequency analysis of an EEG signal.

Paper Details

Date Published: 29 August 2016
PDF: 5 pages
Proc. SPIE 10033, Eighth International Conference on Digital Image Processing (ICDIP 2016), 1003355 (29 August 2016); doi: 10.1117/12.2244906
Show Author Affiliations
En-Bing Lin, Central Michigan Univ. (United States)
Oluremi Abayomi, Central Michigan Univ. (United States)
Keshab Dahal, Central Michigan Univ. (United States)
Patrick Davis, Central Michigan Univ. (United States)
Nonhle Channon Mdziniso, Central Michigan Univ. (United States)

Published in SPIE Proceedings Vol. 10033:
Eighth International Conference on Digital Image Processing (ICDIP 2016)
Charles M. Falco; Xudong Jiang, Editor(s)

© SPIE. Terms of Use
Back to Top