Heart Arrhythmia Classification using ECG Signal
In this project, I implemented an automated algorithm to classify, from a single short ECG lead recording , whether the recording shows normal sinus rhythm, atrial fibrillation (AF), an alternative rhythm, or is too noisy to be classified.
I am a Researcher with expertise in machine learning, Deep Learning signal processing and image processing. I have excellent programming skills. I have good grip on MATLAB, Python and C/C++. But the main thing about me is my capability to learn new things fast and work in different environment with people from different countries. Client satisfaction is my 1st priority. - 30 days error free service - Continued support after the delivery of final product - 100 % satisfaction guaranteed