title: Heart Rate monitoring during physical exercise using wrist-type photoplethysmographic (PPG) signals.
abstract: Heart rate monitoring using wrist-type using photoplethysmographic (PPG) signals during subjects' intensive exercises is a challenging problem, since signals are strongly affected by motion artifacts caused by unexpected movements. This paper presents a method that uses both time and frequency characteristics of signals; using sparse signal reconstruction for high-resolution spectrum estimation. Experimental results on type data sets recorded from 12 subjects during fast running at peak speed of 15 km/hour. The results have a performance with the average absolute error being 1.80 beat per minute.
authors.forename: Amirhosein Khas
authors.initials: AK
authors.lastname: Ahmadi
authors.forename: Parsa
authors.initials: P
authors.lastname: Moradi
authors.forename: Mahan
authors.initials: M
authors.lastname: Malihi
authors.forename: Sajjad
authors.initials: S
authors.lastname: Karimi
authors.forename: Mohammad B
authors.initials: MB
authors.lastname: Shamsollahi
mesh_terms: D000465:Algorithms; D016477:Artifacts; D015444:Exercise / Q000502:physiology*; D006339:Heart Rate / Q000502:physiology*; D006801:Humans; D008991:Monitoring, Physiologic / Q000295:instrumentation / Q000379:methods; D009068:Movement; D017156:Photoplethysmography / Q000295:instrumentation / Q000379:methods*; D012420:Running / Q000502:physiology; D012815:Signal Processing, Computer-Assisted; D014953:Wrist