OxiMA: A Frequency-Domain Approach to Address Motion Artifacts in Photoplethysmograms for Improved Estimation of Arterial Oxygen Saturation and Pulse Rate

• Published in: IEEE transactions on biomedical engineering Vol. 66; no. 2; pp. 311 - 318
• Main Authors: Harvey, J., Salehizadeh, S. M. A., Mendelson, Y., Chon, K. H.
• Format: Journal Article
• Language: English
• Published: United States IEEE 01.02.2019; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Adult; Algorithms; Blood; Estimation; Feasibility studies; Female; Heart Rate - physiology; Humans; Hypoxia; Hypoxia - diagnosis; Male; Microsoft Windows; Middle Aged; Motion artifacts; Oximetry - methods; Oxygen; Oxygen - blood; Oxygen content; Oxygen saturation; oxygen saturation monitoring; photoplethysmogram; Photoplethysmography - methods; PPG; pulse oximetry; Pulse rate; pulse rate monitoring; Saturation; signal processing; Signal Processing, Computer-Assisted; Spectral analysis; Time-frequency analysis; Young Adult
• ISSN: 0018-9294; 1558-2531; 1558-2531
• DOI: 10.1109/TBME.2018.2837499

Objective: The purpose of this paper is to demonstrate that a new algorithm for estimating arterial oxygen saturation can be effective even with data corrupted by motion artifacts (MAs). Methods: OxiMA, an algorithm based on the time-frequency components of a photoplethysmogram (PPG), was evaluated using 22-min datasets recorded from 10 subjects during voluntarily-induced hypoxia, with and without subject-induced MAs. A Nellcor OxiMax transmission sensor was used to collect an analog PPG while reference oxygen saturation and pulse rate (PR) were collected simultaneously from an FDA-approved Masimo SET Radical RDS-1 pulse oximeter. Results: The performance of our approach was determined by computing the mean relative error between the PR/oxygen saturation estimated by OxiMA and the reference Masimo oximeter. The average estimation error using OxiMA was 3 beats/min for PR and 3.24% for oxygen saturation, respectively. Conclusion: The results show that OxiMA has great potential for improving the accuracy of PR and oxygen saturation estimation during MAs. Significance: This is the first study to demonstrate the feasibility of a reconstruction algorithm to improve oxygen saturation estimates on a dataset with MAs and concomitant hypoxia.