Artifact removal for physiological signals via wavelets

En Bing Lin, Oluremi Abayomi, Keshab Dahal, Patrick Davis, Nonhle Channon Mdziniso

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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.

Original languageEnglish
Title of host publicationEighth International Conference on Digital Image Processing, ICDIP 2016
EditorsXudong Jiang, Charles M. Falco
PublisherSPIE
ISBN (Electronic)9781510605039
DOIs
StatePublished - 2016
Event8th International Conference on Digital Image Processing, ICDIP 2016 - Chengu, China
Duration: May 20 2016May 23 2016

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume10033
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X

Conference

Conference8th International Conference on Digital Image Processing, ICDIP 2016
Country/TerritoryChina
CityChengu
Period05/20/1605/23/16

Keywords

  • Artifact removal
  • EEG
  • FNIRS
  • Multiresolution analysis.
  • Physiological signal
  • Wavelet transform

Fingerprint

Dive into the research topics of 'Artifact removal for physiological signals via wavelets'. Together they form a unique fingerprint.

Cite this