A novel adaptive algorithm for wearable PPG biosensors demonstrated high correlation with reference sensors for extracting heart rate (>0.98) and SpO2 (>0.7) during various physical activities.
Does a novel real-time adaptive algorithm improve the accuracy of heart rate and SpO2 extraction from wearable PPG biosensors during motion?
A novel adaptive algorithm effectively removes motion artifacts from wearable PPG biosensors, enabling highly accurate heart rate and SpO2 monitoring during physical activity.
Effect estimate: Correlation >0.98 for HR and >0.7 for SpO2
The performance of portable and wearable biosensors is highly influenced by motion artifact. In this paper, a novel real-time adaptive algorithm is proposed for accurate motion-tolerant extraction of heart rate (HR) and pulse oximeter oxygen saturation ( SpO2) from wearable photoplethysmographic (PPG) biosensors. The proposed algorithm removes motion artifact due to various sources including tissue effect and venous blood changes during body movements and provides noise-free PPG waveforms for further feature extraction. A two-stage normalized least mean square adaptive noise canceler is designed and validated using a novel synthetic reference signal at each stage. Evaluation of the proposed algorithm is done by Bland-Altman agreement and correlation analyses against reference HR from commercial ECG and SpO2 sensors during standing, walking, and running at different conditions for a single- and multisubject scenarios. Experimental results indicate high agreement and high correlation (more than 0.98 for HR and 0.7 for SpO2 extraction) between measurements by reference sensors and our algorithm.
Yousefi et al. (Mon,) conducted a other in Healthy subjects (implied by standing, walking, running). Two-stage normalized least mean square adaptive noise canceler algorithm vs. Reference HR from commercial ECG and SpO2 sensors was evaluated on Agreement and correlation for HR and SpO2 extraction (Correlation >0.98 for HR and >0.7 for SpO2). A novel adaptive algorithm for wearable PPG biosensors demonstrated high correlation with reference sensors for extracting heart rate (>0.98) and SpO2 (>0.7) during various physical activities.
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