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| Detección QRS Pan-Tompkins× | Modelo de Windkessel× | |
|---|---|---|
| Campo | Biomecánica | Biomecánica |
| Familia | Process / pipeline | Process / pipeline |
| Año de origen≠ | 1985 | 1969 |
| Autor original≠ | Jiapu Pan | Nikolaos Westerhof |
| Tipo≠ | Digital signal processing pipeline | Physiological lumped-parameter modeling |
| Fuente seminal≠ | 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 ↗ |
| Alias | QRS detection, R-peak detection, Heartbeat detection | Elastic chamber model, Arterial compliance model, Lumped parameter model |
| Relacionados | 3 | 3 |
| Resumen≠ | 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. |
| ScholarGateConjunto de datos ↗ |
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