Sinus or not: a new beat detection algorithm based on a pulse morphology quality index to extract normal sinus rhythm beats from wrist-worn photoplethysmography recordings
| Autor: | Pedro Fonseca, Gabriele Papini, Jan W. M. Bergmans, Sebastiaan Overeem, Linda M. Eerikäinen, Rik Vullings |
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| Přispěvatelé: | Signal Processing Systems, Biomedical Diagnostics Lab, Eindhoven MedTech Innovation Center, Center for Care & Cure Technology Eindhoven |
| Jazyk: | angličtina |
| Rok vydání: | 2018 |
| Předmět: |
Monitoring
Physiology Biomedical Engineering Biophysics Arrhythmias 030204 cardiovascular system & hematology arrhythmia Signal Beat detection 03 medical and health sciences Computer-Assisted Cardiac/physiopathology 0302 clinical medicine Rhythm Heart Rate Physiology (medical) Photoplethysmogram Heart rate morphology Medicine Humans Sinus rhythm Physiologic Sinus (anatomy) Monitoring Physiologic quality index sinus rhythm business.industry pulse rate variability Arrhythmias Cardiac Signal Processing Computer-Assisted Pulse (music) Wrist Arrhythmias Cardiac/physiopathology medicine.anatomical_structure Signal Processing photoplethysmography sense organs business Artifacts Algorithm 030217 neurology & neurosurgery Algorithms |
| Zdroj: | Physiological Measurement, 39(11):115007. Institute of Physics |
| ISSN: | 0967-3334 |
| Popis: | OBJECTIVE: Wrist-worn photoplethysmography (PPG) can enable free-living physiological monitoring of people during diverse activities, ranging from sleep to physical exercise. In many applications, it is important to remove the pulses not related to sinus rhythm beats from the PPG signal before using it as a cardiovascular descriptor. In this manuscript, we propose an algorithm to assess the morphology of the PPG signal in order to reject non-sinus rhythm pulses, such as artefacts or pulses related to arrhythmic beats. APPROACH: The algorithm segments the PPG signal into individual pulses and dynamically evaluates their morphological likelihood of being normal sinus rhythm pulses via a template-matching approach that accounts for the physiological variability of the signal. The normal sinus rhythm likelihood of each pulse is expressed as a quality index that can be employed to reject artefacts and pulses related to arrhythmic beats. MAIN RESULTS: Thresholding the pulse quality index enables near-perfect detection of normal sinus rhythm beats by rejecting most of the non-sinus rhythm pulses (positive predictive value 98%-99%), both in healthy subjects and arrhythmic patients. The rejection of arrhythmic beats is almost complete (sensitivity to arrhythmic beats 7%-3%), while the sensitivity to sinus rhythm beats is not compromised (96%-91%). SIGNIFICANCE: The developed algorithm consistently detects normal sinus rhythm beats in a PPG signal by rejecting artefacts and, as a first of its kind, arrhythmic beats. This increases the reliability in the extraction of features which are adversely influenced by the presence of non-sinus pulses, whether related to inter-beat intervals or to pulse morphology, from wrist-worn PPG signals recorded in free-living conditions. |
| Databáze: | OpenAIRE |
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