Estimation of heart rate and heart rate variability from pulse oximeter recordings using localized model fitting

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...

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Bibliographic Details
Published in2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) Vol. 2015; pp. 3815 - 3818
Main Authors Wadehn, Federico, Carnal, David, Loeliger, Hans-Andrea
Format Conference Proceeding Journal Article
LanguageEnglish
Published United States IEEE 01.08.2015
Subjects
Algorithms
Databases, Factual
Electrocardiography
Estimation
Heart beat
Heart Rate - physiology
Heart rate variability
Humans
Models, Theoretical
Oscillators
Oximetry - methods
Photoplethysmography - methods
Shape
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ISSN1094-687X
1557-170X
DOI10.1109/EMBC.2015.7319225

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Summary: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.
ISSN:1094-687X
1557-170X
DOI:10.1109/EMBC.2015.7319225