Acta Physica Polonica A · 2010 · 41 citations · 5 references
EngineeringBioengineeringBiomedical EngineeringBiomedical Signal ProcessingElectrophysiologyTime Series AnalysisAutocorrelation AnalysisCardiovascular MonitoringDigital Signal ProcessingElectrocardiogram AnalysisElectrocardiographyHeart Rate VariabilityBiological Feature DetectionHeart RateHeart Rate MeasurementHeart Rate MonitoringHeart Rate Variability MeasurementPower Spectral DensityPower Spectral Density AnalysisPower Spectral Density Estimation
We present algorithm for Heart Rate detection based on Short-Term Autocorrelation Center Clipping method. This algorithm is dedicated for biological signal detection, electrocardiogram, in noisy environment with lot of artifacts. Using this algorithm is also possible detect the R pointers in the PQRST complex of the ECG signal. In this paper the new implementation of the heart rate variability estimation is also presented. HRV module is based on parametric and non-parametric methods of the power spectral density computation.
5
Pattern Recognition and Machine Learning
Journal of Electronic Imaging · 2007 · 22.1K citations
Task Force of the European Society of Cardiology the North A Electrophysiology · Circulation · 1996 · 16.9K citations
Heart rate variability: Standards of measurement, physiological interpretation, and clinical use
Marek Malik, J. Thomas Bigger, A. John Camm et al. · European Heart Journal · 1996 · 15.3K citations · Full text
Nursing, Cardiology, Physiology +15
E Romei, Angela Fiorella, Mariagrazia Uguccioni et al. · 2004 · 115 citations
Medicine, Cardiology, Health Law +7