1984
DOI: 10.1007/978-94-009-6012-1_17
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Performance Comparison of Fast QRS Detection Algorithms

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Cited by 24 publications
(13 citation statements)
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“…In order to obtain a spectral representation of the RR interval variability, an autoregressive model was applied to consecutive intervals of 256 data points throughout the 24-h period, as previously described [18]. Two orders of spontaneous oscillations were considered in the RR power spectrum: low-frequency rhythm (LF, from 0.03 to 0.15 Hz) and respiratory sinus arrhythmia (high frequency component, HF, from 0.15 to 0.40 Hz).…”
Section: Ecg Data Processingmentioning
confidence: 99%
“…In order to obtain a spectral representation of the RR interval variability, an autoregressive model was applied to consecutive intervals of 256 data points throughout the 24-h period, as previously described [18]. Two orders of spontaneous oscillations were considered in the RR power spectrum: low-frequency rhythm (LF, from 0.03 to 0.15 Hz) and respiratory sinus arrhythmia (high frequency component, HF, from 0.15 to 0.40 Hz).…”
Section: Ecg Data Processingmentioning
confidence: 99%
“…The ECG was processed by using extensively tested algorithms [16] in order to detect the QRS complex and the R wave reference point by a derivative\amplitude criterion, without interpolation of the original signal. Using the R wave reference point, the blood pressure signal was also processed by an appropriate algorithm in order to detect diastolic and systolic blood pressure values.…”
Section: Power Spectrum Analysismentioning
confidence: 99%
“…The ECG was processed by using extensively tested algorithms [16] in order to detect the QRS complex and the R wave reference point by a derivative\amplitude criterion, without interpolation of the original signal. The ECG was processed by using extensively tested algorithms [16] in order to detect the QRS complex and the R wave reference point by a derivative\amplitude criterion, without interpolation of the original signal.…”
Section: Power Spectrum Analysismentioning
confidence: 99%