1 Detection of motion artifacts in photoplethysmographic signals: Algorithms comparison

Abstract — The presence of motion artifacts in the photople-thysmographic (PPG) signals is one of the major obstacles in the extraction of reliable cardiovascular parameters in real time and continuous monitoring applications. In the current paper we present a comparison between two motion artifacts detection methodologies proposed by Couceiro et al. [1] and Correia T. [2]. The first method is based on the analysis of the variations in the time and period domain characteristics of the PPG signal. The second method analysis the differences be-tween the changes in the Heart Rate measured from the PPG and the ECG signals. Both methodologies are validated in healthy and cardiovascular diseased volunteers, for 11 differ-ent motion artifact patterns. The results achieved by the pre-sented methodologies show a better performance of the first algorithm (SE: 83 % and SP: 87%) and the great importance of both time and period domain features in the discrimination of motion artifacts from clean PPG pulses