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A new approach for electrocardiogram (ECG) signal monitoring and analysis for the homecare of elderly person or patients is designed and implemented. Developed platform for real-time analysis of ECG signals on sensor node can be used as an advanced diagnosis and alarming system. Sensor node does not need to transmit ECG data all time in wireless sensor network and to server. Firstly sensor node can detect abnormality in ECG then transfer abnormal ECG data in the network to server for further analysis. This system can be used to reduce data packet overload and to save power consumption in wireless sensor network. It can also increase the server performance by reducing load. The ECG features are used to detect life-threatening arrhythmias with an emphasis of analyzing QRS complex in ECG signals at a sensor node. Based on abnormal ECG activity due to R-R interval and QRS width, the sensor node can transfer ECG data to the server for extended and cautious ECG analysis and disease classification. Needed information of abnormal ECG of a patient the server can then be transferred to the doctor's personal digital assistant (PDA) for further diagnostics.