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 configured to sense at least one cardiac signal;
a rate detector configured to detect a heart rate from the at least one cardiac signal;
a tachyarrhythmia detector configured to detect a tachyarrhythmia episode using the heart rate;
a physiological sensor configured to sense a physiological signal; and
a morphology-based tachyarrhythmia classification module including;
a feature extractor configured 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 configured to compute a measure of similarity between the arrhythmic morphological features and stored template morphological features of a template heart beat of a known type cardiac rhythm;
a classifier configured to classify the arrhythmic heart beat using the measure of similarity and a dynamically adjustable beat classification threshold (T); and
a threshold generator configured to adjust the beat classification threshold (T) using an arrhythmic heart rate and an estimated normal heart rate range, the arrhythmic heart rate being the heart rate detected from the at least one cardiac signal during the detected tachyarrhythmia episode, the estimated normal heart rate range being a normal heart rate range estimated using at least the physiological signal.
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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.
91 Citations
20 Claims
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1. A tachyarrhythmia detection and classification system, comprising:
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a cardiac sensing circuit configured to sense at least one cardiac signal; a rate detector configured to detect a heart rate from the at least one cardiac signal; a tachyarrhythmia detector configured to detect a tachyarrhythmia episode using the heart rate; a physiological sensor configured to sense a physiological signal; and a morphology-based tachyarrhythmia classification module including; a feature extractor configured 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 configured to compute a measure of similarity between the arrhythmic morphological features and stored template morphological features of a template heart beat of a known type cardiac rhythm; a classifier configured to classify the arrhythmic heart beat using the measure of similarity and a dynamically adjustable beat classification threshold (T); and a threshold generator configured to adjust the beat classification threshold (T) using an arrhythmic heart rate and an estimated normal heart rate range, the arrhythmic heart rate being the heart rate detected from the at least one cardiac signal during the detected tachyarrhythmia episode, the estimated normal heart rate range being a normal heart rate range estimated using at least the physiological signal. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10)
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11. A method for detecting and classifying tachyarrhythmias, the method comprising:
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sensing at least one cardiac signal; detecting a heart rate from the at least one cardiac signal; detecting a tachyarrhythmia episode from the heart rate; 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 stored template morphological features of a template heart beat; classifying the arrhythmic beat using the measure of similarity and a dynamically adjustable beat classification threshold (T); sensing a physiological signal; and adjusting the beat classification threshold (T) using an arrhythmic heart rate and an estimated normal heart rate range, the arrhythmic heart rate being the heart rate detected from the at least one cardiac signal during the detected tachyarrhythmia episode, the estimated normal heart rate range being a normal heart rate range estimated using at least the physiological signal. - View Dependent Claims (12, 13, 14, 15, 16, 17, 18, 19)
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20. A tachyarrhythmia detection and classification system, comprising:
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means for sensing at least one cardiac signal; means for detecting a heart rate from the at least one cardiac signal; means for detecting a tachyarrhythmia episode from the heart rate; means for extracting arrhythmic morphological features of an arrhythmic heart beat of the detected tachyarrhythmia episode from the at least one cardiac signal; means for computing a measure of similarity between the arrhythmic morphological features and stored template morphological features of a template heart beat; means for classifying the arrhythmic beat using the measure of similarity and a dynamically adjustable beat classification threshold (T); means for sensing a physiological signal; and means for adjusting the beat classification threshold (T) using an arrhythmic heart rate and an estimated normal heart rate range, the arrhythmic heart rate being the heart rate detected from the at least one cardiac signal during the detected tachyarrhythmia episode, the estimated normal heart rate range being a normal heart rate range estimated using at least the physiological signal.
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Specification