On-line real time feature extraction of ECG signal: Recent advances & survey

Existing life care systems simply monitor human health and rely on a centralized server to store and process sensed data, leading to a high cost of system maintenance, yet with limited services and low performance. One of the important parameter in health Monitoring is ECG and Wireless ECG acquisition has emerged as a comfortable low-cost technology for continuous Cardiac Monitoring. The analysis of ECG is widely used for diagnosing many cardiac diseases, which are the main cause mortality in developed countries. One type of Cardiovascular Disease is cardiac arrhythmia which is characterized by irregular heartbeat intervals, atrial fibrillation when atriums exhibit rapid and irregular contractions. Another example of arrhythmia is premature ventricular contraction. The existing feature of Data Collection and analysis of ECG information requires lots of accuracy, efforts and are also immune to errors, unnecessary delays in real time information accessibility. Wireless ECG Sensors have been employed to monitor human health and provide life care services. We present a scheme for ECG monitoring that processes the data by using Cloud computing in real time manner. Among the various techniques developed for ECG extraction Time Domain analysis, frequency domain analysis and wavelet transform are predominant techniques. It is also proposed to develop this system which is compatible with various Devices such as Desktop Computers, PDA and smart phones.