Abstract-Corruption of photopleythysmograms (PPGs) by motion artifacts has been a serious obstacle to the reliable use of pulse oximeters for real-time, continuous state-of-health monitoring. In this paper, we propose an automated, two-stage PPG data processing method to minimize the effects of motion artifacts. The technique is based on our prior work related to motion artifact detection (stage 1) [R. Krishnan, B. Natarajan, and S. Warren, "Analysis and detection of motion artifacts in photoplethysmographic data using higher order statistics," in Proc.
Krishnan et al. REF proposed a two-stage approach for photoplethysmogram (PPG) data based on higher order statistical parameters.
Two-Stage Approach for Detection and Reduction of Motion Artifacts in Photoplethysmographic Data
IEEE Transactions on Biomedical Engineering
IEEE Transactions on Biomedical Engineering
Computer Science Medicine