System and method for analyzing selected signal components in electrocardiographic signals, particularly late potentials in electrocardiograms
First Claim
1. A system for analyzing selected signal components in physiological measurement signals, comprising:
- means for selecting a portion of a physiological measurement signal to be analyzed;
means for selecting a plurality of substantially overlapping mutually offset time segments of said portion;
means for deriving a plurality of low order frequency functions representing the low-band spectral components in each respective time segment;
means for deriving a plurality of high order frequency functions representing the broadband spectral components in each respective time segment;
means for deriving a plurality of difference frequency functions by subtracting said low order frequency functions from respective high order frequency functions; and
means for comparing said difference frequency functions, the comparison indicating detailed analysis of selected signal components in physiological measurement signals.
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Abstract
Disclosed is a system and a method for computer-supported analysis of arrhythmic potentials in ECG signals, particularly those of late potentials. Interference discrimination advantages of frequency domain analysis are combined with temporal localization advantages of time domain analysis to determine the accurate location of arrhythmic potentials. Several small signal segments are selected in an ECG waveform. A determination is made of parameters corresponding to extended signals which closely match fluctuations of each respective small signal, allowing more information is discerned about the small signals than is possible with more conventional techniques. A comparison is made with respect to extended signals rather than small signals. Two autoregressive models are used, the maximum entropy method and adaptive filter determination. Area integrals of the frequency characteristics of small signal segments are recorded successively with respect to the frequency range of the arrhythmic potentials analyzed. The area integrals for first segments are calculated, then the remaining area integrals are calculated to determine the spectral manifestation of the selected signal region. A normality factor is determined as quotient of the summed area integrals of the first and second number of time segments analyzed.
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Citations
22 Claims
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1. A system for analyzing selected signal components in physiological measurement signals, comprising:
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means for selecting a portion of a physiological measurement signal to be analyzed; means for selecting a plurality of substantially overlapping mutually offset time segments of said portion; means for deriving a plurality of low order frequency functions representing the low-band spectral components in each respective time segment; means for deriving a plurality of high order frequency functions representing the broadband spectral components in each respective time segment; means for deriving a plurality of difference frequency functions by subtracting said low order frequency functions from respective high order frequency functions; and means for comparing said difference frequency functions, the comparison indicating detailed analysis of selected signal components in physiological measurement signals. - View Dependent Claims (2, 3, 4, 5, 6, 7)
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8. A method for analyzing selected signal components in physiological measurement signals, comprising the steps of:
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selecting a portion of a physiological measurement signal to be analyzed; selecting a plurality of substantially overlapping mutually offset time segments of said portion; deriving a plurality of low order frequency functions representing the low-band spectral components in each respective time segment; deriving a plurality of high order frequency functions representing the broadband spectral components in each respective time segment; deriving a plurality of difference frequency functions by subtracting said low order frequency functions from respective high order frequency functions; and comparing said difference frequency functions, the comparison indicating detailed analysis of selected signal components in physiological measurement signals. - View Dependent Claims (9, 10, 11, 12)
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13. A system for analyzing selected signal components in physiological measurement signals, comprising:
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means for selecting a portion of a physiological measurement signal to be analyzed; means for selecting a plurality of substantially overlapping mutually offset time segments of said portion; means for deriving a plurality of low order frequency functions representing the low-band spectral components in each respective time segment; means for deriving a plurality of high order frequency functions representing the broadband spectral components in each respective time segment; means for deriving a plurality of difference frequency functions by subtracting said low order frequency functions from respective high order frequency functions; means for comparing said difference frequency functions, the comparison indicating detailed analysis of selected signal components in physiological measurement signals; and means for outputting a three-dimensional plot of said frequency functions indicating detailed analysis of selected signal components in physiological measurement signals. - View Dependent Claims (14, 15, 16, 17, 18, 19, 20, 21, 22)
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Specification