PARHELIA: Particle Filter-Based Heart Rate Estimation From Photoplethysmographic Signals During Physical Exercise

• Published in: IEEE transactions on biomedical engineering Vol. 65; no. 1; pp. 189 - 198
• Main Authors: Fujita, Yuya, Hiromoto, Masayuki, Sato, Takashi
• Format: Journal Article
• Language: English
• Published: United States IEEE 01.01.2018; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Acceleration; Accelerometers; Adolescent; Adult; Estimation; Exercise - physiology; Heart rate; Heart Rate - physiology; Heart rate estimation; Humans; Monitoring; motion artifact removal; particle filter; Photoplethysmography - methods; photoplethysmography (PPG); Physical exercise; Pollution measurement; Probability density function; Signal Processing, Computer-Assisted; Wrist; Young Adult

The photoplethysmographic (PPG) signal is an important source of information for estimating heart rate (HR). However, the PPG signal could be strongly contaminated by the motion artifact of the subjects, making HR estimation a particularly difficult problem. In this paper, we propose PARHELIA, a PAR...