Heart Rate Estimation in Photoplethysmogram Signals using Nonlinear Model-Based Preprocessing

CinC, pp. 633-636, 2015.

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Abstract:

We propose a frequency domain algorithm for heart rate estimation from photoplethysmographic signals (PPG) recorded during intense physical activity. Starting from the Beer-Lambert law we model the effect of movement artifacts on the PPG signal as an amplitude modulation. Using tri-axis accelerometer recordings to demodulate the PPG signa...More

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