Removing Motion Artifact From Heart Rate Signal Of Photoplethysmography Using Active Noise Cancellation

摘要

This research was aimed at reducing the error caused by motion artifact in a heart rate monitoring system to be applied in wearable devices. The heart rate signal was obtained by using the photoplethysmography (PPG) sensor. Furthermore, a 3-axis accelerometer sensor was used to sense the body motion at the PPG sensor site. The output of the accelerometer sensor may have a considerable correlation with the motion artifact in the heart rate signal. Taking the accelerometer output signal as the reference signal, an active noise cancellation (ANC) algorithm recovered the corrupted heart rate signal from the motion artifact. The performance of the ANC was evaluated using a commercial heart-rate belt as the golden standard. The heart rate detection error of our system was 3.52% with a small motion and 8.81% with a big motion. The result of our experiments proves that the ANC method is suitable for removing the motion artifact from the heart rate signal.