This project aims at classifying the ECG signal present into one of the three classes: Arrhythmia, Congestive Heart failure, Normal Sinus rhythm.The feature extraction of the ECG signal is done via wavelet based feature extraction and the classification of the ECG signal takes place via Support Vector Machines(kernel used is polynomial)

• MIT-BIH Arrhythmia Database

• MIT-BIH Normal Sinus Rhythm Database

• BIDMC Congestive Heart Failure Database

• Vinod Patil
• Shaheen Khan

As the paper is not submitted yet, we can't share the report here. If you have any doubts you can feel free to contact me. Here's my mail id.