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A Comparative Analysis Of Feature Extraction Techniques For Eeg Signals From Alzheimer Patients, Ramya Priya Mudhiganti
A Comparative Analysis Of Feature Extraction Techniques For Eeg Signals From Alzheimer Patients, Ramya Priya Mudhiganti
Electrical Engineering Theses
This research deals with the study of Alzheimer Disease (AD). Electroencephalogram (EEG) signal is a clinical tool for the diagnosis and detection of AD. EEG signals are analyzed for the diagnosis of AD applying several linear and non-linear methods of signal processing. This work studies and implements several measures of EEG signal complexity and then compares the complexity features measured or extracted from EEG signals. Time domain analysis of EEG signals is performed using several signal processing techniques such as higher order moments, entropies and fractal dimension calculation using fractal analysis. Frequency domain analysis of EEG signals is performed using …