Motion noise reduction method for a noncontact electrocardiogram sensor in a chair

This paper proposes a method to reduce motion noise for a noncontact electrocardiogram (ECG) sensor in a chair. Two electric potential integrated circuit (EPIC) sensors were used for ECG and two pressure sensors were added on the back of the EPIC sensors to make signals approximating movement of a subject. Then, Discrete wavelet transform and adaptive noise cancellation techniques were applied to the measured ECG signal. In the results of experiments, the reduction of motion noise in the measured ECG signal was confirmed using the proposed method and more accurate R peaks could be found in the ECG signal. Therefore, the proposed method will make possible to monitor one´s heart rate with less sensitivity to the noise using noncontact sensors in a chair.