2010 · 127 citations · 8 references
EngineeringBiomedical EngineeringCardiologyBiomedical Signal ProcessingBiosensorsElectrophysiologyBiomedical Signal FilteringCardiac Signal ProcessingDigital Signal ProcessingElectrocardiogram AnalysisElectrocardiographySignal Detection TheoryArrhythmia DetectionQrs Complex DetectionSignal-to-noise RatioSignal-to-noise Ratio AnalysisSignal-to-noise Ratio AssessmentSignal-to-noise Ratio Improvement
In this paper, we investigate the QRS frequency bands in ECG signals. Any QRS detection algorithm accuracy depends on the frequency range of ECG being processed. The QRS complex has different morphology and frequency band for different arrhythmias and noises in ECG signals. A standard bandpass range that maximizes the signal (QRS complex)-to-noise (T-waves, 60 Hz, EMG, etc.) ratio will be useful in ECG monitoring and diagnostic tools. A sensitive QRS detection algorithm has been introduced to compare the performance of using different frequency bands. The results shows that the recommended bandpass frequency range for detecting QRS complexes is 8-20Hz which the best signal-to-noise ratio.
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