Key result
The proposed real-time PPG signal quality assessment algorithm achieved a sensitivity of 99.29%, specificity of 95.31%, and accuracy of 97.76%, saving transmission energy consumption by up to 95.1%.
Why the study?
Methods were needed to significantly reduce overall energy consumption and frequent false alarms in photoplethysmogram monitoring.
A novel real-time PPG signal quality assessment algorithm demonstrates high accuracy and significantly reduces false alarms and energy consumption for wearable monitoring.
May reduce false alarms and energy use in wearable PPG monitoring; leaves open clinical validation before adoption.
This brief presents a new real-time photoplethysmogram (PPG) signal quality assessment system for significantly reducing an overall energy consumption and reducing frequent false alarms. The proposed algorithm is based on the hierarchical decision rules by combining with simple features, such as absolute amplitude, threshold crossing rate, and autocorrelation function features. The algorithm is validated on both MATLAB software and Arduino Due with 32-bit ARM core microcontroller by using the standard PPG datasets and our real-time PPG datasets. The algorithm achieved a sensitivity of 99.29%, specificity of 95.31% and accuracy of 97.76% with 754 false positive segments and 182 false negative segments of a total of 16 068 unacceptable and 25 772 acceptable segments, respectively. The algorithm provides a promising false alarm reduction rate of 95.31% on different kinds of artifacts and noise. The proposed quality-aware monitoring system can save transmission energy consumption from 3.43% to 95.1% for transmission of noisy 5-60 s PPG signal.
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Vadrevu et al. (2019) studied this question. Real-time PPG signal quality assessment algorithm was evaluated on Algorithm performance (sensitivity, specificity, accuracy). The proposed real-time PPG signal quality assessment algorithm achieved a sensitivity of 99.29%, specificity of 95.31%, and accuracy of 97.76%, saving transmission energy consumption by up to 95.1%.
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