Alzheimer's disease (AD) is an irreversible brain disorder of unknown aetiology that gradually destroys brain cells and represents the most prevalent form of dementia in western countries. The main aim of this study was to analyse the magnetoencephalogram (MEG) background activity from 20 AD patient
Use of running fractal dimension for the analysis of changing patterns in electroencephalograms
β Scribed by N. Pradhan; D. Narayana Dutt
- Publisher
- Elsevier Science
- Year
- 1993
- Tongue
- English
- Weight
- 722 KB
- Volume
- 23
- Category
- Article
- ISSN
- 0010-4825
No coin nor oath required. For personal study only.
β¦ Synopsis
Running fractal dimensions were measured on four channels of an electroencephalogram (EEG) recorded from a normal volunteer. The changes in the background activity due to eye closure were clearly differentiated by the fractal method. The compressed spectral array (CSA) and the running fractal dimensions of the EEG showed corresponding changes with respect to change in the background activity. The fractal method was also successful in detecting low amplitude spikes and the changes in the patterns in the EEG. The effects of different window lengths and shifts on the running fractal dimension have also been studied. The utility of fractal method for EEG data compression is highlighted.
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