Key result
A two-pronged motion artifact reduction strategy integrating an auxiliary sensor reduced the 95% limits of agreement to less than one third of the baseline LOA in wearable photoplethysmography.
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A novel two-pronged motion artifact reduction strategy using an auxiliary sensor significantly improves the signal accuracy of wearable PPG biosensors.
Motion artifact poses a big challenge in photoplethysmography (PPG) for it greatly increases the difficulties of extracting the signal of interest accurately and reliably. Various techniques have been put forward in the past to tackle the issue. While these techniques have focused exclusively on artifact reduction, we attack the problem on two fronts. By integrating the auxiliary sensor and exploiting its correlations with the optical PPG sensor, not only do we cancel the artifacts but also, at the same time, enhance the signal of interest. Enhancing the signal of interest equivalently boosts the artifact reduction. The experiments have shown that the strategy performs rather effectively: The 95% limits of agreement (LOA) after the artifact reduction has been reduced down to less than one third of the LOA before the artifact reduction and is only three fourths as much as that of the artifact-free PPG.
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Jiang Yuan (2018) studied Motion artifact in photoplethysmography. Two-pronged motion artifact reduction integrating an auxiliary sensor vs. Before artifact reduction and artifact-free PPG was evaluated on 95% limits of agreement (LOA) (reduced to <1/3 of baseline LOA). A two-pronged motion artifact reduction strategy integrating an auxiliary sensor reduced the 95% limits of agreement to less than one third of the baseline LOA in wearable photoplethysmography.
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