Wavelet-Based EEG Signal Feature Extraction: Pedro Henrique da Rocha Garrit Presentation
Pedro Henrique da Rocha Garrit presents his weekly achievements in implementing a wavelet-based feature extraction algorithm for EEG signals, inspired by a research paper on heart rate variability analysis. He successfully executed the algorithm in MatLab, generating output as text files. His future plans involve applying the new method to an HMM-based classifier and analyzing DEMO code.
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Presentation Transcript
Weekly Presentation Pedro Henrique da Rocha Garrit Week:05/17/2015
Goals: Implement the feature extraction for EEG signals using wavelet based on the paper: "A new algorithm for wavelet-based heart rate variability analysis."
Accomplishments: Successfully Implemented a wavelet based feature extraction algorithm in MatLab to output the feature vectors as Text files(.txt)
Plans: Apply the new feature extraction method to a HMM based classifier. Start Analyzing DEMO code.
