Accession Number:

ADA409984

Title:

Fractal Dimension as a Feature for Adaptive Electroencephalogram Segmentation in Epilepsy

Descriptive Note:

Corporate Author:

ILMENAU TECHNICAL UNIV (GERMANY) INST OF BIOMEDICAL ENGINEERING AND INFORMATICS

Report Date:

2001-10-25

Pagination or Media Count:

4.0

Abstract:

In previous studies the fractal dimension FD has been shown to be a useful tool to detect non-stationarities and transients in biomedical signals like electroencephalogram EEG and electrocardiogram ECG The changes in FD are shown to characterise alterations in EEG due to changes in physiological states of brain, not only in normal but also in pathological functioning like epilepsy. The importance of long-term EEG monitoring for clinical evaluation ill epilepsy has been also emphasised. Adaptive EEG segmentation and classification of the obtained segments have been addressed to be a convenient solution to the problem of visual inspection of huge EEG data sets, The performance of adaptive segmentation plays an essential role iii correct evaluation of the recordings. Thus, our aim iii this study is to analyses the FD as a feature for adaptive EEG segmentation and compare its performance with those of previously used features oil epileptic EEG data.

Subject Categories:

  • Medicine and Medical Research
  • Medical Facilities, Equipment and Supplies

Distribution Statement:

APPROVED FOR PUBLIC RELEASE