The Periodic Moving Average Filter for Removing Motion Artifacts from PPG Signals
نویسندگان
چکیده
Abstract: The measurement accuracy for heart rate or SpO2 using photoplethysmography (PPG) is influenced by how well the noise from motion artifacts and other sources can be removed. Eliminating the motion artifacts is particularly difficult since its frequency band overlaps that of the basic PPG signal. Therefore, we propose the Periodic Moving Average Filter (PMAF) to remove motion artifacts. The PMAF is based on the quasi-periodicity of the PPG signals. After segmenting the PPG signal on periodic boundaries, we average the m samples of each period. As a result, we remove the motion artifacts well without the deterioration of the characteristic point.
منابع مشابه
Motion artifact removal from photoplethysmographic signals by combining temporally constrained independent component analysis and adaptive filter
BACKGROUND The calculation of arterial oxygen saturation (SpO2) relies heavily on the amplitude information of the high-quality photoplethysmographic (PPG) signals, which could be contaminated by motion artifacts (MA) during monitoring. METHODS A new method combining temporally constrained independent component analysis (cICA) and adaptive filters is presented here to extract the clean PPG si...
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