Existing life care structures sincerely reveal human fitness and rely on a centralized server to shopand method sensed statistics, leading to a excessive value of machine renovation, yet with constrained offerings and occasional performance. one of the vital parameter in health trackingis ECG and wi-fi ECG acquisition has emerged as a comfy low-cost era for continuous Cardiac monitoring. The evaluation of ECG is broadly used for diagnosing many cardiac sicknesses, which are the main reason mortality in developed nations. wi-fi ECG sensors have  been hired to revealhuman health and offer life care offerings. We present a scheme for ECG function extraction for shooting ECG signals in an effort to be in comparison with wellknown database in actual time byusing both curvelets or shapelets. among the diverse strategies developed for ECG extraction time domain analysis, frequency domain analysis and wavelet rework are important techniques. the brand new advanced Wavelet transform mainly designed for picture processing like shapelets, ridgelets can supply greater correct outcomes than conventional Waveform techniques. it's alsoproposed to develop this gadget which is compatible with numerous gadgets such as laptopcomputers, PDA and smart telephones