What is it about?
A technique to estimate the Heart rate variability in PPG signals
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Why is it important?
estimating the Heart rate variability acquired from wearable sensors is still a challenging task, especially in considerable physical movement scenarios. Proposing techniques to tackle this problem is essential as this could open the door to new applications in continuous health monitoring.
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This page is a summary of: Heart rate variability estimation in photoplethysmography signals using Bayesian learning approach, Healthcare Technology Letters, June 2016, the Institution of Engineering and Technology (the IET),
DOI: 10.1049/htl.2016.0006.
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