System and method for classifying cardiac depolarization complexes with multi-dimensional correlation
First Claim
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1. A method for classifying a sensed cardiac depolarization complex, comprising:
- sensing a plurality of depolarization waveforms resulting from a cardiac depolarization complex, wherein each of the plurality of sensed waveforms is sensed with a sensing channel having a different electrode configuration, and generating digital samples of the sensed waveforms over a defined period of time to result in a sample set for each sensed waveform;
storing the sample set of each sensed waveform in a sensed sample array and a sample set of each corresponding waveform of a template depolarization complex in a template sample array;
computing a multi-dimensional correlation between the sensed sample arrays and the corresponding template sample arrays;
classifying the sensed depolarization complex is as being equivalent to the template complex if the multi-dimensional correlation indicates a specified degree of similarity;
grouping samples of the sensed and template waveforms at a particular sampling time into a sensed complex vector and template complex vector, respectively; and
,adding one or more parameter features to the sensed and template complex vectors, wherein a parameter feature is defined as the deviation from a mean value of a measurable parameter related to a cardiac depolarization complex.
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Abstract
A system and method for classifying cardiac depolarization complexes in which waveforms of a depolarization complex are sensed by separate electrodes and correlated with template waveforms of a template depolarization complex. The system is particularly suitable for incorporation into a cardiac rhythm management device such as an implantable cardioverter/defibrillator or pacemaker in order to facilitate arrhythmia prediction and/or prevention.
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Citations
16 Claims
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1. A method for classifying a sensed cardiac depolarization complex, comprising:
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sensing a plurality of depolarization waveforms resulting from a cardiac depolarization complex, wherein each of the plurality of sensed waveforms is sensed with a sensing channel having a different electrode configuration, and generating digital samples of the sensed waveforms over a defined period of time to result in a sample set for each sensed waveform; storing the sample set of each sensed waveform in a sensed sample array and a sample set of each corresponding waveform of a template depolarization complex in a template sample array; computing a multi-dimensional correlation between the sensed sample arrays and the corresponding template sample arrays; classifying the sensed depolarization complex is as being equivalent to the template complex if the multi-dimensional correlation indicates a specified degree of similarity; grouping samples of the sensed and template waveforms at a particular sampling time into a sensed complex vector and template complex vector, respectively; and
,adding one or more parameter features to the sensed and template complex vectors, wherein a parameter feature is defined as the deviation from a mean value of a measurable parameter related to a cardiac depolarization complex. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8)
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9. A cardiac rhythm management device having incorporated therein a system for classifying sensed cardiac depolarization complexes, comprising:
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a plurality of sensing channels for sensing waveforms of a cardiac depolarization complex and for converting the sensed waveforms into digitized samples, wherein each of the plurality of sensing channels has a different electrode configuration; a processor and associated memory interfaced to the sensing channels; and
,wherein the processor is programmed to; store digital samples of the sensed waveforms from each of the plurality of sensed channels over a defined period of time to result in a sample set of each sensed waveform; store the sample set of each sensed waveform in a sensed sample array; store a sample set of each corresponding waveform of a template depolarization complex in a template sample array; compute a multi-dimensional correlation between the sensed sample arrays and the corresponding template sample arrays; classify the sensed depolarization complex is as being equivalent to the template complex if the multi-dimensional correlation indicates a specified degree of similarity; group samples of the sensed and template waveforms at a particular sampling time into a sensed complex vector and template complex vector, respectively; and
,add one or more parameter features to the sensed and template complex vectors, wherein a parameter feature is defined as the deviation from a mean value of a measurable parameter related to a cardiac depolarization complex. - View Dependent Claims (10, 11, 12, 13, 14, 15, 16)
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Specification