Σύγκριση μεθόδων

	Ανίχνευση QRS Pan-Tompkins	Μοντέλο Windkessel
Πεδίο	Εμβιομηχανική	Εμβιομηχανική
Οικογένεια	Process / pipeline	Process / pipeline
Έτος προέλευσης	1985	1969
Δημιουργός	Jiapu Pan	Nikolaos Westerhof
Τύπος	Digital signal processing pipeline	Physiological lumped-parameter modeling
Θεμελιώδης πηγή	Pan, J., & Tompkins, W. J. (1985). A real-time QRS detection algorithm. IEEE Transactions on Biomedical Engineering, BME-32(3), 230-236.	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.
Εναλλακτικές ονομασίες	QRS detection, R-peak detection, Heartbeat detection	Elastic chamber model, Arterial compliance model, Lumped parameter model
Συναφείς	3	3
Σύνοψη	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.