Two-Stage Approach for Detection and Reduction of Motion Artifacts in Photoplethysmographic Data

• Published in: IEEE transactions on biomedical engineering Vol. 57; no. 8; pp. 1867 - 1876
• Main Authors: Krishnan, Rajet, Natarajan, Balasubramaniam, Warren, Steve
• Format: Journal Article
• Language: English
• Published: United States IEEE 01.08.2010; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Acoustic signal detection; Adult; Algorithms; Data Interpretation, Statistical; Data processing; Digital broadcasting; Electrons; Female; Forearm; Fourier Analysis; Fourier series; Frequency domain analysis; Frequency estimation; Higher order statistics (HOS); Humans; Independent component analysis; independent component analysis (ICA); magnitude-based frequency-domain ICA (FD-ICA); Male; Monitoring; Motion analysis; motion artifact; Motion detection; motion detection unit (MDU); Movement - physiology; Normal Distribution; photoplethysmogram (PPG); Photoplethysmography - methods; ROC Curve; Sensor fusion; Signal Processing, Computer-Assisted; Studies

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 artifa...