Curvature based method for selecting features from an electrophysiologic signals for purpose of complex identification and classification
First Claim
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1. A cardiac rhythm management system, comprising:
- at least one electrode;
a signal sensing circuit coupled to the electrode to sense a cardiac signal, the cardiac signal having signal complexes;
a controller coupled to the sensing circuit, wherein the controller receives the sensed cardiac signal, and wherein the controller includes;
memory to store signal complexes and to store sets of predetermined templates, the predetermined templates including sets of template zones; and
an analyzing module, the analyzing module to compute curvatures at sample points on the sensed cardiac signal, wherein the analyzing module extracts features from the computed curvatures and classifies the signal complexes by comparing the extracted features to the template zones of the predetermined templates.
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Abstract
A method for curvature based complex identification and classification comprises sensing a cardiac signal and computing curvatures at sample points on the sensed cardiac signal. Then to extract features from the computed curvatures, and compare the extracted features with a set of predetermined templates, and then to classify the sensed cardiac signal based on the outcome of the comparison.
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20 Claims
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1. A cardiac rhythm management system, comprising:
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at least one electrode;
a signal sensing circuit coupled to the electrode to sense a cardiac signal, the cardiac signal having signal complexes;
a controller coupled to the sensing circuit, wherein the controller receives the sensed cardiac signal, and wherein the controller includes;
memory to store signal complexes and to store sets of predetermined templates, the predetermined templates including sets of template zones; and
an analyzing module, the analyzing module to compute curvatures at sample points on the sensed cardiac signal, wherein the analyzing module extracts features from the computed curvatures and classifies the signal complexes by comparing the extracted features to the template zones of the predetermined templates. - View Dependent Claims (2, 3, 4, 5, 6)
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7. A method comprising:
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sensing a voltage versus time cardiac signal with an implantable medical device;
converting a voltage versus time signal into a time versus time signal;
computing curvature at sample points on the time versus time signal;
extracting features from the computed curvatures;
comparing the extracted features with a set of predetermined templates; and
classifying the cardiac signal based on an outcome of the comparison. - View Dependent Claims (8, 9, 10)
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11. A cardiac rhythm management system, comprising:
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at least one electrode;
a signal sensing circuit coupled to the electrode to sense a cardiac signal, the cardiac signal having signal complexes;
a controller coupled to the sensing circuit, wherein the controller receives the sensed cardiac signal, and wherein the controller includes;
memory to store at least a first signal complex; and
an analyzing module, the analyzing module to compute curvatures at sample points of the sensed cardiac signal, continuously process the sensed cardiac signal to produce an absolute value of the first derivative of the sensed cardiac signal, compare the absolute value of the first derivative to a predetermined decaying threshold value to detect a second subsequent signal complex. - View Dependent Claims (12, 13, 14, 15, 16)
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17. A method comprising:
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sensing a cardiac signal with an implantable medical device;
computing curvature at sample points on the sensed cardiac signal;
computing average curvature between two adjacent sample points by computing an integral of the curvature between the two adjacent sample points;
extracting features from the computed curvatures;
comparing the extracted features with a set of predetermined templates; and
classifying the cardiac signal based on an outcome of the comparison. - View Dependent Claims (18, 19, 20)
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Specification