Method and apparatus for morphology-based arrhythmia classification using cardiac and other physiological signals
First Claim
1. A tachyarrhythmia detection and classification system, comprising:
- a cardiac sensing circuit to sense at least one cardiac signal;
a tachyarrhythmia detector, coupled to the cardiac sensing circuit, to detect a tachyarrhythmia episode from the at least one cardiac signal;
one or more physiological sensors to sense one or more physiological signals;
a physiological parameter generator, coupled to the one or more physiological sensors, to derive one or more physiological parameters from the one or more physiological signals;
wherein the one or more physiologicaI signals comprise at least one hemodynamic signal indicative of hemodynamic performance, the one or more physiological parameters comprise a hemodynamic stability parameter (S) indicative of a level of hemodynamic stability, the one or more physiological sensors comprise a hemodynamic sensor to sense the at least one hemodynamic signal, the physiological parameter generator is adapted to derive the hemodynamic stability parameter (S) from the at least one hemodynamic signal, and the threshold generator is adapted to adjust a dynamically adjustable beat classification threshold (T) using the hemodynamic stability parameter (S); and
a morphology-based tachyarrhythmia classification module coupled to the tachyarrhythmia detector, the morphology-based tachyarrhythmia classification module including;
a feature extractor, coupled to the cardiac sensing circuit, to extract arrhythmic morphological features of an arrhythmic heart beat of the detected tachyarrhythmia episode from the at least one cardiac signal;
a similarity analyzer, coupled to the cardiac sensing circuit, to compute a measure of similarity between the arrhythmic morphological features and template morphological features of a template heart beat of a known type cardiac rhythm;
a classifier, coupled to the similarity analyzer, to classify the arrhythmic heart beat using the measure of similarity and the beat classification threshold (T); and
a threshold generator, coupled to the physiological parameter generator and the classifier, to adjust the beat classification threshold (T) using the one or more physiological parameters.
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Abstract
A tachyarrhythmia detection and classification system classifies tachyarrhythmias based on an analysis of morphological features of a cardiac signal enhanced by using one or more physiological parameters indicative of hemodynamic stability and/or activity level. The tachyarrhythmia detection and classification system computes a measure of similarity between an arrhythmic waveform of the cardiac signal a template waveform for that cardiac signal, such as a correlation coefficient representative of the correlation between morphological features of the arrhythmic waveform and morphological features of the template waveform. A detected tachyarrhythmia episode is classified by comparing the measure of similarity to a threshold that is dynamically adjusted using the one or more physiological parameters.
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Citations
38 Claims
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1. A tachyarrhythmia detection and classification system, comprising:
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a cardiac sensing circuit to sense at least one cardiac signal; a tachyarrhythmia detector, coupled to the cardiac sensing circuit, to detect a tachyarrhythmia episode from the at least one cardiac signal; one or more physiological sensors to sense one or more physiological signals; a physiological parameter generator, coupled to the one or more physiological sensors, to derive one or more physiological parameters from the one or more physiological signals; wherein the one or more physiologicaI signals comprise at least one hemodynamic signal indicative of hemodynamic performance, the one or more physiological parameters comprise a hemodynamic stability parameter (S) indicative of a level of hemodynamic stability, the one or more physiological sensors comprise a hemodynamic sensor to sense the at least one hemodynamic signal, the physiological parameter generator is adapted to derive the hemodynamic stability parameter (S) from the at least one hemodynamic signal, and the threshold generator is adapted to adjust a dynamically adjustable beat classification threshold (T) using the hemodynamic stability parameter (S); and a morphology-based tachyarrhythmia classification module coupled to the tachyarrhythmia detector, the morphology-based tachyarrhythmia classification module including; a feature extractor, coupled to the cardiac sensing circuit, to extract arrhythmic morphological features of an arrhythmic heart beat of the detected tachyarrhythmia episode from the at least one cardiac signal; a similarity analyzer, coupled to the cardiac sensing circuit, to compute a measure of similarity between the arrhythmic morphological features and template morphological features of a template heart beat of a known type cardiac rhythm; a classifier, coupled to the similarity analyzer, to classify the arrhythmic heart beat using the measure of similarity and the beat classification threshold (T); and a threshold generator, coupled to the physiological parameter generator and the classifier, to adjust the beat classification threshold (T) using the one or more physiological parameters. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19)
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20. A method for detecting and classifying tachyarrhythmias, the method comprising:
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sensing at least one cardiac signal; detecting a tachyarrhythmia episode from the at least one cardiac signal; extracting arrhythmic morphological features of an arrhythmic heart beat of the detected tachyarrhythmia episode from the at least one cardiac signal; computing a measure of similarity between the arrhythmic morphological features and template morphological features of a template heart beat of a known type cardiac rhythm for each arrhythmic heart beat of a plurality of arrhythmic heart beats; classifying the detected tachyarrhythmia episode using values of the measure of similarity computed for the plurality of arrhythmic heart beats and a dynamically adjustable beat classification threshold (T); sensing one or more physiological signals; deriving one or more physiological parameters from the one or more physiological signals; wherein sensing the one or more physioloclical siginals comprises sensing at least one hemodynamic siginal indicative of hemodynamic performance, deriving the one or more physiolociical parameters comprises deriving a hemodynamic stability parameter (S) from the at least one hemodynamic signal, and adjusting the beat classification threshold (T) comprises using adjusting the beat classification threshold (T) using the hemodynamic stability parameter (S); and adjusting the beat classification threshold (T) using the one or more physiological parameters. - View Dependent Claims (21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38)
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Specification