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Variabilidad de la Frecuencia Cardíaca×Detección QRS Pan-Tompkins×Modelo de Windkessel×
CampoBiomecánicaBiomecánicaBiomecánica
FamiliaProcess / pipelineProcess / pipelineProcess / pipeline
Año de origen199619851969
Autor originalTask Force of European Society of CardiologyJiapu PanNikolaos Westerhof
TipoTime-series and frequency-domain analysis pipelineDigital signal processing pipelinePhysiological lumped-parameter modeling
Fuente seminalTask 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 ↗
AliasHRV, RR interval analysis, Cardiac variabilityQRS detection, R-peak detection, Heartbeat detectionElastic chamber model, Arterial compliance model, Lumped parameter model
Relacionados333
ResumenHeart 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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ScholarGateComparar métodos: Heart Rate Variability · Pan-Tompkins QRS Detection · Windkessel Model. Recuperado el 2026-06-20 de https://scholargate.app/es/compare