ScholarGate
アシスタント

手法を比較

選択した手法を並べて確認できます。異なる行はハイライト表示されます。

Pan-Tompkins QRS検出×心拍変動×Photoplethysmography×Windkesselモデル×
分野バイオメカニクスバイオメカニクスバイオメカニクスバイオメカニクス
系統Process / pipelineProcess / pipelineProcess / pipelineProcess / pipeline
提唱年1985199619371969
提唱者Jiapu PanTask Force of European Society of CardiologyHertzmanNikolaos Westerhof
種類Digital signal processing pipelineTime-series and frequency-domain analysis pipelineOptical signal acquisition and analysis pipelinePhysiological lumped-parameter modeling
原典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 ↗Allen, J. (2007). Photoplethysmography and its application in clinical physiology. Physiology & Behavior, 107(4), 540-548. link ↗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 ↗
別名QRS detection, R-peak detection, Heartbeat detectionHRV, RR interval analysis, Cardiac variabilityPPG, Pulse oximetry, Reflectance photometryElastic chamber model, Arterial compliance model, Lumped parameter model
関連3333
概要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.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.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.
ScholarGateデータセット
  1. v1
  2. 2 出典
  3. PUBLISHED
  1. v1
  2. 2 出典
  3. PUBLISHED
  1. v1
  2. 2 出典
  3. PUBLISHED
  1. v1
  2. 2 出典
  3. PUBLISHED

検索へ スライドをダウンロード

ScholarGate手法を比較: Pan-Tompkins QRS Detection · Heart Rate Variability · Photoplethysmography · Windkessel Model. 2026-06-20に以下より取得 https://scholargate.app/ja/compare