A new framework to extract heart rate information from photoplethysmographic (PPG) signals with strong motion artifacts

Photoplethysmography (PPG) is a kind of physiological information that can be easily disturbed by motion artifacts. Therefore,this paper paid attention to the extraction of information from PPG with motion artifacts. In the paper, a new framework that can extract heart rate (HR) information from PPG signals with severe motion artifacts is proposed, using Singular Spectrum Analysis, Real-time Clustering, Frequency Points Selection and Prediction and Multiple-way Selection as the key points.

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