A new wristband wearable sensor using adaptive reduction filter to reduce motion artifact

Reduction the motion artifact from photo plethysmograph (PPG) signals can improve the precision of the measurement of heart rate or arterial oxygen saturation in movement state. This paper presents a new wristband PPG/ACC sensor device, which utilizes the adaptive filter technique to reduce the motion artifact of the original PPG signals. A 3-axis MEMS accelerometer sensor is attached to the PPG sensor to detect the wrist movement. A fast transversal RLS algorithm is performed to reduce the computed complexity of the adaptive filter. Experiment results show that this device can provide more reliable and stable signals against motion artifact corruption under the typical types of movement, such as swinging arms.