Method of and apparatus for classifying arrhythmias using scatter plot analysis
First Claim
1. A system for classifying arrhythmias, the system comprising:
- a sensor for acquiring a cardiac signal;
first processing means for deriving a recurring cardiac rhythm parameter from the cardiac signal and storing the parameter as a series of values;
a database for plotting a point on a scatter plot for each pair of successive stored values, wherein an abscissa of the point is a first value of a pair of successive stored values, andan ordinate of the point is a second value of the pair of successive stored values,and wherein the scatter plot is divided into a plurality of regions;
second processing means for deriving a measure of variability by counting the number of regions that have one or more points plotted therein; and
a comparator for comparing the measure of variability to a variability threshold.
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Abstract
A method of classifying arrhythmias using scatter plot analysis to define a measure of variability of a cardiac rhythm parameter such as for example, without limitation, R-R interval, A-A interval, and the slope of a portion of a cardiac signal, is disclosed. The variability measurement is derived from a scatter plot of a cardiac rhythm parameter, employing a region counting technique that quantifies the variability of the cardiac rhythm parameter while minimizing the computational complexity. The method may be employed by an implantable medical device or system, such as an implantable pacemaker or cardioverter defibrillator, or by an external device or system, such as a programmer or computer. The variability measurement may be correlated with other device or system information to differentiate between atrial flutter and atrial fibrillation, for example. The variability information may also be used by the device or system to select an appropriate therapy for a patient.
42 Citations
15 Claims
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1. A system for classifying arrhythmias, the system comprising:
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a sensor for acquiring a cardiac signal; first processing means for deriving a recurring cardiac rhythm parameter from the cardiac signal and storing the parameter as a series of values; a database for plotting a point on a scatter plot for each pair of successive stored values, wherein an abscissa of the point is a first value of a pair of successive stored values, and an ordinate of the point is a second value of the pair of successive stored values, and wherein the scatter plot is divided into a plurality of regions; second processing means for deriving a measure of variability by counting the number of regions that have one or more points plotted therein; and a comparator for comparing the measure of variability to a variability threshold. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13)
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14. A system for classifying arrhythmias, the system comprising:
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a sensor for acquiring a cardiac signal; first processing means for deriving a recurring cardiac rhythm parameter from the cardiac signal and storing the parameter as a series of values; a database for plotting a point on a scatter plot for each pair of successive stored values, wherein an abscissa of the point is a first value of a pair of successive stored values and an ordinate of the point is a second value of the pair of successive stored values and wherein the scatter plot is divided into a plurality of regions; second processing means for deriving a measure of variability by counting the number of regions that have one or more points plotted therein; means for measuring a rate derived from a recurring cardiac rhythm parameter and a comparator for comparing the measure of variability to a variability threshold and for comparing the rate to a rate threshold threshold; means for classifying an arrhythmia based on the comparing of the measure of variability to the variability threshold and the comparing of the rate to the rate threshold, wherein the arrhythmia is classified as atrial fibrillation (AF) when the rate and variability meet specified AF criteria. - View Dependent Claims (15)
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Specification