ECG Anomaly Detection, An Idea

1 Introduction

Anomaly is usually detected by doctors or heart specialists from ECG signal. They measured anomaly by noticing number of boxes in the domain of that signal or by checking frequency of that ECG signal.
My proposed system will record ECG signal from real patients using hardware device (SHIELD-EKG-EMG) and will detect heartrate and will classify arrhythmia from ECG signal. ECG signal is recoded by placing electrodes on the chest of the patient. It will predict/classify diseases using machine learning techniques.
My proposed system will minimum human more than 80% and provide maximum accuracy according to the circumstances of the patient. This will also exclude the time spent on the taking ECG signal and measuring heartbeat.