Why the study?
Does a personalized MNA detection algorithm improve the accuracy, sensitivity, and specificity of artifact detection in smartphone PPG signals compared to generalized algorithms?
Population
Smartphone photoplethysmograph (PPG) signals
Comparison
Personalized motion and noise artifact detection… vs Conventional/generalized MNA detection algorithms
Authors
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Personalized MNA detection may enhance smartphone PPG usability; leaves open clinical validation and generalizability.
Does a personalized MNA detection algorithm improve the accuracy, sensitivity, and specificity of artifact detection in smartphone PPG signals compared to generalized algorithms?
A personalized probabilistic neural network-based algorithm significantly improves the detection of motion and noise artifacts in smartphone PPG signals compared to generalized methods.
Tabei et al. (2018) studied this question.
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