EEG Multiresolution Analysis Using Wavelet Transform

Abstract

Wavelet transform (WT) is a new multiresolution time-frequency analysis method. WT possesses well localization feature both in tine and frequency domains. it acts as a group of band-pass filters to decompose mixed signal into signals at different frequency bands. EEG as a noninvasive testing method plays a key role in the diagnosing diseases and is useful for both physiological research and medical applications. Using the dyadic wavelet transform the EEG signals are successfully decomposed to the alpha rhythm (8-13Hz) beta rhythm (14-30Hz) theta rhythm (4-7Hz) and delta rhythm (0.3-3Hz) and the EMG trembles in EEG are effectively removed while the useful information of EEG are well reserved so as to improve SNR. The experiment results are given in the end of the paper.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Oct 25, 2001
Accession Number
ADA411450

Entities

People

  • Li Yingyuan
  • Zhou Weidong

Organizations

  • Shandong University

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Abstracts
  • Availability
  • Classification
  • Contracts
  • Engineering
  • Frequency
  • Frequency Bands
  • Frequency Domain
  • Military Research
  • Monitoring
  • Standardization
  • Test Methods
  • Wavelet Transforms

Fields of Study

  • Engineering

Readers

  • Brain and Cognitive Science; Experimental Psychology; Cognitive Neuroscience
  • Image Processing and Computer Vision.