Key result
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.
Why the study?
Does a novel real-time adaptive algorithm improve the accuracy of heart rate and SpO2 extraction from wearable PPG biosensors during motion?
Population
Single- and multisubject scenarios evaluated during standing, walking, and running at different conditions
Comparison
Novel real-time adaptive algorithm for wearable… vs Reference HR from commercial ECG and SpO2 sensors
Design
Other
Authors
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May enable reliable wearable PPG monitoring during activity; leaves open prospective clinical validation.
Does a novel real-time adaptive algorithm improve the accuracy of heart rate and SpO2 extraction from wearable PPG biosensors during motion?
Effect estimate: Correlation >0.98 for HR and >0.7 for SpO2
A novel adaptive algorithm effectively removes motion artifacts from wearable PPG biosensors, enabling highly accurate heart rate and SpO2 monitoring during physical activity.
Yousefi et al. (2013) studied 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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