Comparative Analysis Electroencephalographic of Alpha, Beta and Gamma Bands of a Healthy Individual and One with Hemiparesis (original) (raw)
2014, Journal of Physical Therapy Science
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Analyzing Electroencephalogram by Integrated Methods to Diagnose Neurological Diseases
International Journal of Applied Physics and Mathematics, 2013
The electroencephalogram (EEG) is used as aclinical examination to diagnose the brain activities and brain functions. The EEG processing and analysis can support clinicians to diagnose and to detect a number of neurological diseases such as epilepsy, sleep schizophrenia, sleep disorder, mental fatigue etc. The paper introduces some advanced techniques and its combination for EEG processing such as independent component analysis (ICA), time-frequency analysis, blind source separation, chaos-fractal analysis applying to noise preprocessing and quantitative evaluation EEG signals in order to detect and study some characteristics and behaviors of selected neurological diseases.
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