Detection of Dynamic Rhythms of Electroencephalography by Using Wavelet Packets Decomposition

Abstract

Wavelet packet decomposition is used to investigate the time-varying characteristics of clinical EEG signals. On the basis of the nonstationary nature of clinical EEG rhythms, wavelet packet analysis is employed for designing filters with different frequency characteristics to detect 4 kinds of EEG rhythms. The coefficients of wavelet transformation corresponding to the rhythms are used to form the dynamic brain electrical activity mapping (DBEAM). In order to understand the dynamic rhythms of the EEG, some clinical EEG are analyzed and compared. It is indicated from the experimental results that the dynamic characteristics of clinical brain electrical activities can be provided in terms of wavelet packet decomposition.

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Document Details

Document Type
Technical Report
Publication Date
Oct 25, 2001
Accession Number
ADA409668

Entities

People

  • F. Chan
  • Lisha Suan
  • Minfen Shen

Organizations

  • Shantou University

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Abstracts
  • Data Acquisition
  • Decomposition
  • Detection
  • Digital Signal Processing
  • Electroencephalography
  • Engineering
  • Filters
  • Frequency
  • Frequency Bands
  • Neuroimaging
  • Nondestructive Testing
  • Personal Computers
  • Scientific Research
  • Signal Processing
  • Test Methods
  • Trees (Data Structures)

Fields of Study

  • Engineering

Readers

  • Circadian Sleep-Wake Regulation and Chronobiology
  • Image Processing and Computer Vision.