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تشخیص کمپلکس QRS به روش پن-تامکینز×مدل ویندکِسل (Windkessel Model)×
حوزهبیومکانیکبیومکانیک
خانوادهProcess / pipelineProcess / pipeline
سال پیدایش19851969
پدیدآورJiapu PanNikolaos Westerhof
نوعDigital signal processing pipelinePhysiological lumped-parameter modeling
منبع بنیادینPan, 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 ↗
نام‌های دیگرQRS detection, R-peak detection, Heartbeat detectionElastic chamber model, Arterial compliance model, Lumped parameter model
مرتبط33
خلاصهThe 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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ScholarGateمقایسهٔ روش‌ها: Pan-Tompkins QRS Detection · Windkessel Model. بازیابی‌شده در 2026-06-19 از https://scholargate.app/fa/compare