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Szívfrekvencia-variabilitás×Pan-Tompkins QRS-detektálás×Windkessel-modell×
TudományterületBiomechanikaBiomechanikaBiomechanika
MódszercsaládProcess / pipelineProcess / pipelineProcess / pipeline
Keletkezés éve199619851969
MegalkotóTask Force of European Society of CardiologyJiapu PanNikolaos Westerhof
TípusTime-series and frequency-domain analysis pipelineDigital signal processing pipelinePhysiological lumped-parameter modeling
AlapműTask 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 ↗Pan, J., & Tompkins, W. J. (1985). A real-time QRS detection algorithm. IEEE Transactions on Biomedical Engineering, BME-32(3), 230-236. 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 ↗
Alternatív nevekHRV, RR interval analysis, Cardiac variabilityQRS detection, R-peak detection, Heartbeat detectionElastic chamber model, Arterial compliance model, Lumped parameter model
Kapcsolódó333
ÖsszefoglalóHeart 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 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.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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ScholarGateMódszerek összehasonlítása: Heart Rate Variability · Pan-Tompkins QRS Detection · Windkessel Model. Letöltve 2026-06-20, forrás: https://scholargate.app/hu/compare