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Détection du QRS de Pan-Tompkins×Variabilité de la fréquence cardiaque×Modèle de Windkessel×
DomaineBiomécaniqueBiomécaniqueBiomécanique
FamilleProcess / pipelineProcess / pipelineProcess / pipeline
Année d'origine198519961969
Auteur d'origineJiapu PanTask Force of European Society of CardiologyNikolaos Westerhof
TypeDigital signal processing pipelineTime-series and frequency-domain analysis pipelinePhysiological lumped-parameter modeling
Source fondatricePan, J., & Tompkins, W. J. (1985). A real-time QRS detection algorithm. IEEE Transactions on Biomedical Engineering, BME-32(3), 230-236. DOI ↗Task Force of the European Society of Cardiology and the North American Society of Pacing and Electrophysiology. (1996). Heart rate variability: standards of measurement, physiological interpretation, and clinical use. Circulation, 93(5), 1043-1065. DOI ↗Westerhof, N., Bosman, F., De Vries, N. C., & Noordergraaf, A. (1969). Analog studies of the human systemic arterial tree. Journal of Biomechanics, 2(2), 121-143. DOI ↗
AliasQRS detection, R-peak detection, Heartbeat detectionHRV, RR interval analysis, Cardiac variabilityElastic chamber model, Arterial compliance model, Lumped parameter model
Apparentées333
RésuméThe Pan-Tompkins algorithm is a real-time QRS detection method for electrocardiograms (ECGs) that identifies the R-peaks (ventricular depolarization) and QRS complexes from continuous cardiac waveforms. Published by Jiapu Pan and Willis Tompkins in 1985, it remains a standard reference for ECG processing and is widely implemented in clinical monitoring systems.Heart rate variability (HRV) analysis quantifies the variation in time intervals between consecutive heartbeats as a window into autonomic nervous system function and cardiovascular health. Formalized by the European Society of Cardiology Task Force in 1996, HRV metrics are now standard in cardiology, physiology, and sports science for assessing stress, recovery, and disease risk.The Windkessel model is a lumped-parameter representation of the arterial system that captures the pulsatile dynamics of blood flow and pressure using simple mechanical analogs (resistors and capacitors). Named after the German word for air chamber, it was formalized by Westerhof and colleagues in the late 1960s and remains fundamental to understanding arterial hemodynamics and blood pressure regulation.
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ScholarGateComparer des méthodes: Pan-Tompkins QRS Detection · Heart Rate Variability · Windkessel Model. Consulté le 2026-06-20 sur https://scholargate.app/fr/compare