Biomed Eng Lett.  2017 Nov;7(4):299-304. 10.1007/s13534-017-0037-0.

Novel tailoring algorithm for abrupt motion artifact removal in photoplethysmogram signals

• Pu L
• Chacon PJ
• Wu HC
• Choi JW

• KMID: 2397930
• DOI: http://doi.org/10.1007/s13534-017-0037-0

Abstract

Photoplethysmogram (PPG) signals are widely used for wearable electronic devices nowadays. The PPG signal is extremely sensitive to the motion artifacts (MAs) caused by the subject's movement. The detection and removal of such MAs remains a difficult problem. Due to the complicated MA signal waveforms, none of the existing techniques can lead to satisfactory results. In this paper, a new framework to identify and tailor the abrupt MAs in PPG is proposed, which consists of feature extraction, change-point detection, and MA removal. In order to achieve the optimal performance, a data-dependent frame-size determination mechanism is employed. Experiments for the heart-beat-rate-measurement application have been conducted to demonstrate the effectiveness of our proposed method, by a correct detection rate of MAs at 98% and the average heart-beat-rate tracking accuracy above 97%. On the other hand, this new framework maintains the original signal temporal structure unlike the spectrum-based approach, and it can be further applied for the calculation of blood oxygen level (SpOâ‚‚).

Keyword

Photoplethysmogram; Motion artifact (MA) removal; Short-time variance; Automatic frame-size determination; Heart rate (HR)

MeSH Terms

Artifacts*
Hand
Methods
Oxygen
Oxygen