Machine LearningCoursework
Sleep Stage Classification
Multimodal EEG, EOG, EMG sleep staging in MATLAB
About
KTH project for automatic sleep staging from polysomnography. Modular preprocessing (notch, high and low-pass filters), time, frequency, and wavelet feature extraction, and grid-searched classifiers (k-NN, RF, MLP, SVM) across single-modality and multimodal pipelines.
Status
Submitted for the KTH biosignal processing course.
Stack
MATLABEDFWaveletsSVM