EEG power spectrum analysis for schizophrenia during mental activity
| Autor: | K. Bhanu, S. Shenbaga Devi, M Malaiappan, B Thilakavathi |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
Adult
Male medicine.medical_specialty Support Vector Machine Biomedical Engineering Biophysics General Physics and Astronomy Stimulus (physiology) Audiology Electroencephalography 030218 nuclear medicine & medical imaging 03 medical and health sciences Beta band 0302 clinical medicine Electric Power Supplies Mental Processes medicine Humans Radiology Nuclear Medicine and imaging medicine.diagnostic_test Spectral density Cognition Signal Processing Computer-Assisted Absolute power Mental activity Support vector machine 030220 oncology & carcinogenesis Schizophrenia Female Psychology |
| Zdroj: | Australasian physicalengineering sciences in medicine. 42(3) |
| ISSN: | 1879-5447 |
| Popis: | Cognitive dysfunction is a core defect for schizophrenia subjects. This is due to structural and functional abnormalities of the brain which can be determined using Electroencephalogram (EEG). The objective of this study is to analyze EEG in patients with schizophrenia using power spectral density during mental activity. The subjects included in this study are 52 schizophrenia subjects and 29 Normal subjects. EEG is recorded under resting condition and during mental activity. Two modified odd ball paradigms are designed to stimulate mental activity and named as stimulus 1 and stimulus 2. EEG signal is filtered using FIR band pass filter to extract delta, theta, alpha, and beta band EEG. This method measures powers of each band using Welch power spectral density method called absolute power. The absolute power of alpha band is low and beta band is high for schizophrenia subjects compared to normal subjects during rest and two stimuli. Student’s t-test is used to find the significant features (p |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|
Full text from SpringerLink