Method and device for estimating morphological features of heart beats
First Claim
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1. A method, comprising:
- filtering a digital replica of an electrocardiogram (ECG) signal with a passband filter with cut-off frequencies of about 10 Hz and 35 Hz, the filtering the digital replica including generating a corresponding passband signal;
filtering out a direct current component from said digital replica of the ECG signal, the filtering out the direct current component including generating a corresponding alternating current (AC) signal; and
detecting occurrence of peaks of R waves of the ECG signal by;
processing the passband signal with a finite impulse response filter having a pulse response that is linearly increasing, the processing including generating an intermediate signal; and
detecting peaks of R waves at zero-crossings between two consecutive maxima of said intermediate signal.
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Abstract
A method estimates morphological features of heart beats from an ECG signal. Peaks of the R wave of the ECG are detected and classified using a parallel filtering structure. The first branch implements a bandpass filtering with cut off frequencies of about 10 Hz and 35 Hz, enhancing the signal-to-noise ratio (SNR) of the QRS complex. The second branch estimates morphological features of the heart beat from an alternating current (AC) replica of the ECG signal, that may be used to classify the beat and potentially detect arrhythmias.
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Citations
12 Claims
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1. A method, comprising:
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filtering a digital replica of an electrocardiogram (ECG) signal with a passband filter with cut-off frequencies of about 10 Hz and 35 Hz, the filtering the digital replica including generating a corresponding passband signal; filtering out a direct current component from said digital replica of the ECG signal, the filtering out the direct current component including generating a corresponding alternating current (AC) signal; and detecting occurrence of peaks of R waves of the ECG signal by; processing the passband signal with a finite impulse response filter having a pulse response that is linearly increasing, the processing including generating an intermediate signal; and detecting peaks of R waves at zero-crossings between two consecutive maxima of said intermediate signal. - View Dependent Claims (2, 3, 4, 5)
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6. A non-transitory computer readable memory medium storing processor instructions configured to cause a processor to execute a method comprising:
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filtering an electrocardiogram (ECG) signal with a passband filter with cut-off frequencies of about 10 Hz and 35 Hz, the filtering the ECG signal including generating a corresponding passband signal; filtering out a direct current component from said ECG signal, the filtering out the direct current component including generating a corresponding alternating current (AC) signal; detecting occurrence of peaks of R waves of the ECG signal by processing the passband signal; and in response to detecting peaks of R waves of the ECG signal, generating estimations of a morphological feature of heart beats represented in the ECG signal by processing a replica of said AC signal blanked for an interval of about 50 ms after the occurrence of an R wave peak, according to the Hamilton-Tompkins algorithm, the morphological feature being one of a set consisting of width of QRS complex, height of peaks of R or P waves, and lengths of PR intervals. - View Dependent Claims (7, 8)
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9. An ECG signal monitor, comprising:
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a passband filter, with cut-off frequencies of about 10 Hz and 35 Hz, configured to filter an electrocardiogram (ECG) signal and generate a corresponding passband signal; a DC filter configured to filter out a direct current component from said ECG signal and generate a corresponding alternating current (AC) signal; a peak detector configured to detect occurrence of peaks of R waves of the ECG signal by processing the passband signal; and a morphological feature extractor configured to, in response to the peak detector detecting peaks of R waves of the ECG signal, generate estimations of a morphological feature of heart beats represented in the ECG by processing a replica of said AC signal blanked for an interval of about 50 ms after the occurrence of an R wave peak, according to the Hamilton-Tompkins algorithm, the morphological feature being one of a set consisting of width of QRS complex, height of peaks of R or P waves, and lengths of PR intervals. - View Dependent Claims (10, 11, 12)
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Specification