POWER-AWARE HEART RATE MONITORING USING PARTICLE FILTERS

This article describes a novel methodology to balance computational power and estimation accuracy for the application of robust heartrate (HR) monitoring through leveraging particle filters. We formulate the power-accuracy trade-off as the number of particles in the particle filter framework, where a higher number of particles leads to higher computational resolution and accuracy at the cost of higher computational power. Our particle filter-based HR monitoring technique can be applied to a variety of physiological signals including but not limited to electrocardiogram (ECG) and photoplethysmogram (PPG).

Automated summary

This article presents a novel methodology to balance computational power and estimation accuracy for robust heartrate monitoring through the use of particle filters, which can be applied to various physiological signals such as ECG and PPG.