Method and device for the automateddetection and differentiation of cardiac rhythm disturbances
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Abstract
The invention relates to a method and a device for the automated detection and differentiation of cardiac rhythm disturbances. According to said method, measured values for a coherent series of a cardiac frequency signal, preferably the times of the peaks of the R waves are correlated together using a Poincaré model and the correlated data transformed into a multi-dimensional phase space and represented as a Lorenz curve. The data transformed into the phase space is morphologically characterised and assigned to particular pre-determined patterns by means of case-based reasoning. Particular clinically-relevant rhythmic or arrhythmic forms can be determined from the assigned patterns by means of empirically-determined relationships.
21 Citations
28 Claims
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1-14. -14. (canceled)
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15. A method for the automated detection and differentiation of cardiac rhythm disturbances, comprising the steps:
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measured values of a coherent time series of a heart rate signal are correlated with one another, and the correlated data are transformed into a multidimensional phase space, the data transformed into the phase space are morphologically characterized and assigned to certain predetermined patterns, certain clinically relevant rhythmic or arrhythmic forms are determined from the assigned patterns on the basis of empirically established relationships. - View Dependent Claims (16, 17, 18, 19, 20, 21, 22)
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23. A device for the automated detection and differentiation of cardiac rhythm disturbances, with an input unit which detects heart rate signals, a processing unit which evaluates the detected heart rate signals and determines associated rhythmic or arrhythmic forms, and an output unit which outputs the determined rhythmic or arrhythmic forms, said processing unit comprising:
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means for determining the duration of successive heart beat cycles of the heart rate signal, means for correlating each cycle duration with one of the succeeding cycle durations and for transforming the correlated data into at least one Lorenz curve, means for morphological characterization of the Lorenz curve and for assigning the Lorenz curve to predetermined patterns, databank means which correlate the predetermined patterns with certain clinically relevant rhythmic or arrhythmic forms. - View Dependent Claims (24, 25, 26, 27, 28)
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Specification