System, software, and method for detection of sleep-disordered breathing using an electrocardiogram
First Claim
1. A method for detecting sleep-disordered breathing, the method comprising:
- (a) detecting a position and magnitude of a plurality of R-wave peak amplitudes within an electrocardiogram signal, variations in the magnitude of the plurality of R-wave peak amplitudes defining R-wave peak amplitude morphology for the plurality of R-wave peaks;
(b) analyzing a change in value between the magnitude of the plurality of R-wave peak amplitudes; and
(c) detecting sleep-disordered breathing, when existing, responsive to the analysis of the change in value between the magnitude of the plurality of R-wave peak amplitudes.
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Accused Products
Abstract
A system to form and store an electrocardiogram (ECG) signal derived from a cardiac electrical signal that includes an apparatus having a pair of the electrodes to connect to a patient to detect the cardiac electrical signal. A signal sampler samples the cardiac electrical signal to form the ECG signal. A data storage device stores the ECG signal. A computer communicates with the data storage device to retrieve the ECG signal for analysis by software stored in the memory of the computer. The software analyzes a morphology of the amplitude of a plurality of R-wave peaks contained within the ECG signal and/or analyzes a morphology of the area of a plurality of QRS complex pulses contained within the ECG signal.
43 Citations
38 Claims
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1. A method for detecting sleep-disordered breathing, the method comprising:
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(a) detecting a position and magnitude of a plurality of R-wave peak amplitudes within an electrocardiogram signal, variations in the magnitude of the plurality of R-wave peak amplitudes defining R-wave peak amplitude morphology for the plurality of R-wave peaks; (b) analyzing a change in value between the magnitude of the plurality of R-wave peak amplitudes; and (c) detecting sleep-disordered breathing, when existing, responsive to the analysis of the change in value between the magnitude of the plurality of R-wave peak amplitudes. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10)
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11. A method for detecting sleep-disordered breathing, the method comprising:
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(a) detecting a position of a plurality of QRS complex pulses within an electrocardiogram signal; (b) determining a plurality of QRS complex pulse area values for a preselected time band coincident with a position of a corresponding plurality of R-wave peaks for the plurality of QRS complex pulses, variations in the area for each of the plurality of QRS complex pulse areas defining QRS complex pulse area morphology for the plurality of QRS complex pulses; (c) forming a QRS complex pulse area value sampled series by interpolating between QRS complex pulse area values of the electrocardiogram signal to form a QRS complex pulse area value trend and by evenly sampling the formed QRS complex pulse area value trend; and (d) analyzing the QRS complex pulse area morphology for the plurality of QRS complex pulses by determining a power spectral density of the QRS complex pulse area value sampled series and determining a power level in a preselected frequency band of the power spectral density. - View Dependent Claims (12, 13, 14, 15, 16, 17)
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18. A system to detect sleep-disordered breathing, the apparatus comprising:
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an apparatus to form and store an electrocardiogram signal from a cardiac electrical signal, the apparatus including; at least one electrocardiogram lead having a pair of the electrodes adapted to connect to a selected portion of a patient to detect the cardiac electrical signal, the signal having a plurality of QRS complex pulses, a data sampler electrically connected to the at least one electrocardiogram lead to form the electrocardiogram signal by sampling the detected cardiac electrical signal, a data storage device for storing the electrocardiogram signal; a computer having a processor and a memory associated therewith, the processor positioned to communicate with the data storage device and the memory; and R-wave peak amplitude morphology analyzing software stored in the memory of the computer for analyzing R-wave peak amplitude morphology of a plurality of R-waves peaks contained within the electrocardiogram signal, the R-wave peak amplitude morphology analyzing software including; an R-wave peak amplitude determiner adapted to receive the electrocardiogram signal to determine a position and magnitude of the plurality of R-wave peaks within the electrocardiogram signal, variations in the magnitude of the plurality of R-wave peak amplitudes defining R-wave peak amplitude morphology for the plurality of R-wave peaks, and an R-wave peak amplitude morphology analyzer, responsive to the R-wave peak amplitude determiner, to analyze a change in value between the magnitude of the plurality of R-wave peak amplitudes to thereby detect sleep-disordered breathing, when existing, responsive to the analysis. - View Dependent Claims (19, 20, 21, 22, 23, 24, 25, 26, 27)
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28. R-wave peak amplitude morphology analyzing software stored on a storage media for analyzing a morphology of a plurality of R-waves contained within the electrocardiogram signal, the R-wave peak amplitude morphology analyzing software including:
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an R-wave peak amplitude determiner adapted to receive the electrocardiogram signal to determine a position and magnitude of a plurality of R-wave peak amplitudes within the electrocardiogram signal, variations in the magnitude of the plurality of R-wave peak amplitudes defining R-wave peak amplitude morphology for the plurality of R-wave peaks; and an R-wave peak amplitude morphology analyzer, responsive to the R-wave peak amplitude determiner, to analyze a change in value between the magnitude of the plurality of R-wave peak amplitudes, to thereby detect sleep-disordered breathing, when existing, responsive to the analysis. - View Dependent Claims (29, 30, 31, 32, 33, 34, 35, 36)
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37. A computer readable medium that is readable by a computer facilitating detecting sleep disordered breathing in a patient, the computer readable medium comprising a set of instructions that, when executed by the computer, cause the computer to perform the following operations:
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detecting a position and magnitude of a plurality of R-wave peak amplitudes within at least a portion of an electrocardiogram signal; forming a R-wave peak sampled series by forming an R-wave peak amplitude value trend and sampling the formed trend; determining a power spectral density of the R-wave peak sampled series; determining a power level in a preselected frequency band of the power spectral density; comparing the determined power level to a predetermined threshold level; and detecting sleep-disordered breathing, when existing, responsive to the comparison.
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38. A computer readable medium that is readable by a computer facilitating detecting sleep disordered breathing in a patient, the computer readable medium comprising a set of instructions that, when executed by the computer, cause the computer to perform the following operations:
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providing an electrocardiogram signal into a first plurality of epochs; forming an R-wave peak series for each epoch in a subset of the first plurality of epochs defining a second plurality of epochs by forming an R-wave peak value trend and sampling the formed trend; determining a power spectral density of the R-wave peak series for each of the second plurality of epochs; determining a power level in a preselected frequency band of the power spectral density for each of the second plurality of epochs; comparing the determined power level for each of the second plurality of epochs to a predetermined threshold level to determine if the predetermined threshold is exceeded; and signaling the existence of sleep-disordered breathing when a preselected percentage of second plurality of epochs exceed the predetermined threshold level.
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Specification