ScholarGate
Assistente

Comparar métodos

Examine os métodos selecionados lado a lado; as linhas que diferem ficam destacadas.

Detecção de QRS Pan-Tompkins×Variabilidade da Frequência Cardíaca×Modelo de Windkessel×
ÁreaBiomecânicaBiomecânicaBiomecânica
FamíliaProcess / pipelineProcess / pipelineProcess / pipeline
Ano de origem198519961969
Autor originalJiapu PanTask Force of European Society of CardiologyNikolaos Westerhof
TipoDigital signal processing pipelineTime-series and frequency-domain analysis pipelinePhysiological lumped-parameter modeling
Fonte seminalPan, 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 ↗
Outros nomesQRS detection, R-peak detection, Heartbeat detectionHRV, RR interval analysis, Cardiac variabilityElastic chamber model, Arterial compliance model, Lumped parameter model
Relacionados333
ResumoThe 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.
ScholarGateConjunto de dados
  1. v1
  2. 2 Fontes
  3. PUBLISHED
  1. v1
  2. 2 Fontes
  3. PUBLISHED
  1. v1
  2. 2 Fontes
  3. PUBLISHED

Ir para a pesquisa Baixar slides

ScholarGateComparar métodos: Pan-Tompkins QRS Detection · Heart Rate Variability · Windkessel Model. Recuperado em 2026-06-20 de https://scholargate.app/pt/compare