方法对比

	光电容积脉搏波描记法	心率变异性	Pan-Tompkins QRS 检测算法
领域	生物力学	生物力学	生物力学
方法族	Process / pipeline	Process / pipeline	Process / pipeline
起源年份	1937	1996	1985
提出者	Hertzman	Task Force of European Society of Cardiology	Jiapu Pan
类型	Optical signal acquisition and analysis pipeline	Time-series and frequency-domain analysis pipeline	Digital signal processing pipeline
开创性文献	Allen, J. (2007). Photoplethysmography and its application in clinical physiology. Physiology & Behavior, 107(4), 540-548.	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.	Pan, J., & Tompkins, W. J. (1985). A real-time QRS detection algorithm. IEEE Transactions on Biomedical Engineering, BME-32(3), 230-236.
别名	PPG, Pulse oximetry, Reflectance photometry	HRV, RR interval analysis, Cardiac variability	QRS detection, R-peak detection, Heartbeat detection
相关	3	3	3
摘要	Photoplethysmography (PPG) measures blood volume changes in tissue using light absorption, providing a non-invasive optical window into cardiovascular dynamics. Originally developed by Hertzman in 1937, PPG is now ubiquitous in pulse oximetry, smartwatches, and research applications for monitoring heart rate, blood oxygenation, and vascular function.	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 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.