Key result
A real-time digital signal processing system using wavelet transforms was developed to overcome limitations of other methods in detecting QRS complexes and P- and T-wave onsets and offsets.
Why the study?
Does a real-time system using wavelet transforms improve the detection of QRS complexes and P- and T-waves in ECG signals compared to other methods?
Does a real-time system using wavelet transforms improve the detection of QRS complexes and P- and T-waves in ECG signals compared to other methods?
A real-time digital signal processing system using wavelet transforms offers a method to overcome limitations of traditional techniques for automated ECG timing interval measurements.
May advance real-time ECG delineation; leaves open prospective validation in clinical populations.
The rapid and objective measurement of timing intervals of the electrocardiogram (ECG) by automated systems is superior to the subjective assessment of ECG morphology. The timing interval measurements are usually made from the onset to the termination of any component of the EGG, after accurate detection of the QRS complex. This article describes a real-time system that uses wavelet transforms to overcome the limitations of other methods of detecting QRS and the onsets and offsets of P- and T-waves. Wavelet transformation is briefly discussed, and detection methods and hardware and software aspects of the system are presented, as well as experimental results.
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Sahambi et al. (1997) studied Electrocardiogram (ECG) characterization. Wavelet transforms vs. Other methods of detecting QRS and P/T waves was evaluated on Detection of QRS complex and onsets and offsets of P- and T-waves. A real-time digital signal processing system using wavelet transforms was developed to overcome limitations of other methods in detecting QRS complexes and P- and T-wave onsets and offsets.
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