title: Estimation of heart rate and heart rate variability from pulse oximeter recordings using localized model fitting.
abstract: Heart rate variability is one of the key parameters for assessing the health status of a subject's cardiovascular system. This paper presents a local model fitting algorithm used for finding single heart beats in photoplethysmogram recordings. The local fit of exponentially decaying cosines of frequencies within the physiological range is used to detect the presence of a heart beat. Using 42 subjects from the CapnoBase database, the average heart rate error was 0.16 BPM and the standard deviation of the absolute estimation error was 0.24 BPM.
authors.forename: Federico
authors.initials: F
authors.lastname: Wadehn
authors.forename: David
authors.initials: D
authors.lastname: Carnal
authors.forename: Hans-Andrea
authors.initials: HA
authors.lastname: Loeliger
mesh_terms: D000465:Algorithms; D016208:Databases, Factual; D006339:Heart Rate / Q000502:physiology*; D006801:Humans; D008962:Models, Theoretical; D010092:Oximetry / Q000379:methods*; D017156:Photoplethysmography / Q000379:methods