Motion artifact is the main interference of dynamic ECG monitoring and will affect fault diagnosis rate and missed diagnosis rate. In order to improve dynamic ECC signal quality

a motion sensor aided dynamic ECG monitoring system is designed

this system collects V2 lead ECG signal

through abdominal motion sensor data

identify patient ’s daily activity which easy to cause motion artifact of ECG motion

label position of motion artifact

introduce PQRST wave feature points detection and adaptive filtering algorithm to remove the motion artifact. The effectiveness of this algorithm is verified by actual ECG signals

daily activities such as coughing

squatting and sitting can be recognized and ECG motion artifact caused by such activities can be removed by this method effectively.