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| Phát hiện phức bộ QRS Pan-Tompkins× | Biến thiên nhịp tim× | Mô hình Windkessel× | |
|---|---|---|---|
| Lĩnh vực | Cơ sinh học | Cơ sinh học | Cơ sinh học |
| Họ | Process / pipeline | Process / pipeline | Process / pipeline |
| Năm ra đời≠ | 1985 | 1996 | 1969 |
| Người khởi xướng≠ | Jiapu Pan | Task Force of European Society of Cardiology | Nikolaos Westerhof |
| Loại≠ | Digital signal processing pipeline | Time-series and frequency-domain analysis pipeline | Physiological lumped-parameter modeling |
| Công trình gốc≠ | Pan, J., & Tompkins, W. J. (1985). A real-time QRS detection algorithm. IEEE Transactions on Biomedical Engineering, BME-32(3), 230-236. DOI ↗ | Task 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 ↗ | 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 ↗ |
| Tên gọi khác | QRS detection, R-peak detection, Heartbeat detection | HRV, RR interval analysis, Cardiac variability | Elastic chamber model, Arterial compliance model, Lumped parameter model |
| Liên quan | 3 | 3 | 3 |
| Tóm tắt≠ | 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. | Heart 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 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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