A New Wristband Wearable Sensor Using Adaptive Reduction Filter to Reduce Motion Artifact

• Published in: 2008 International Conference on Information Technology and Applications in Biomedicine pp. 278 - 281
• Main Authors: Pengfei Wei, Ruiwen Guo, Jingmeng Zhang, Zhang, Y.T.
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01.05.2008
• Subjects: Adaptive filters; Biomedical engineering; Biomedical measurements; Biomedical monitoring; Biosensors; Micromechanical devices; Pulse measurements; Sensor phenomena and characterization; Wearable sensors; Wrist
• ISBN: 9781424422548; 142442254X
• ISSN: 2168-2194
• DOI: 10.1109/ITAB.2008.4570636

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.