SYSTEM AND METHOD FOR PREDICTING SUCCESSFUL DEFIBRILLATION FOR VENTRICULAR FIBRILLATION CARDIAC ARREST
First Claim
1. A computer-assisted method for quantitative characterization and treatment of ventricular fibrillation, comprising:
- acquiring a time series of a ventricular fibrillation (VF) signal using a probe from a patient;
subtracting the mean from the time series of the VF signal;
calculating a cumulative VF signal by a computer system after the mean is subtracted from the time series of the VF signal;
segmenting the cumulative VF signal by a plurality of sampling boxes by the computer system;
calculating the root-mean-square of the cumulative VF signal as a function of the sampling box size by the computer system;
extracting, by the computer system, an exponent of the root-mean-square of the cumulative VF signal as a function of the sampling box size;
applying electrical defibrillation to the patient if the exponent is below a predetermined value; and
applying cardiopulmonary resuscitation (CPR) to the patient if the exponent is above a predetermined value.
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Abstract
A computer-assisted method for quantitative characterization and treatment of ventricular fibrillation includes acquiring a time series of a ventricular fibrillation (VF) signal using a probe from a patient experiencing VF, subtracting the mean from the time series of the VF signal, calculating a cumulative VF signal after the mean is subtracted from the time series of the VF signal, segmenting the cumulative VF signal by a plurality of sampling boxes, calculating the root-mean-square of the cumulative VF signal as a function of the sampling box size , extracting an exponent of the root-mean-square of the cumulative VF signal as a function of the sampling box size, applying electrical defibrillation to the patient if the exponent is below a predetermined value, and applying cardiopulmonary resuscitation (CPR) to the patient if the exponent is above a predetermined value.
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Citations
21 Claims
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1. A computer-assisted method for quantitative characterization and treatment of ventricular fibrillation, comprising:
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acquiring a time series of a ventricular fibrillation (VF) signal using a probe from a patient; subtracting the mean from the time series of the VF signal; calculating a cumulative VF signal by a computer system after the mean is subtracted from the time series of the VF signal; segmenting the cumulative VF signal by a plurality of sampling boxes by the computer system; calculating the root-mean-square of the cumulative VF signal as a function of the sampling box size by the computer system; extracting, by the computer system, an exponent of the root-mean-square of the cumulative VF signal as a function of the sampling box size; applying electrical defibrillation to the patient if the exponent is below a predetermined value; and applying cardiopulmonary resuscitation (CPR) to the patient if the exponent is above a predetermined value. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8)
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9. A computer-assisted method for quantitative characterization and treatment of ventricular fibrillation, comprising:
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applying cardiopulmonary resuscitation (CPR) to a patient; acquiring a time series of a ventricular fibrillation (VF) signal using a probe from the patient during CPR; subtracting the mean from the time series of the VF signal; calculating a cumulative VF signal by a computer system after the mean is subtracted from the time series of the VF signal; segmenting the cumulative VF signal by a plurality of sampling boxes by the computer system; calculating the root-mean-square of the cumulative VF signal as a function of the sampling box size by the computer system; extracting, by the computer system, an exponent of the root-mean-square of the cumulative VF signal as a function of the sampling box size; and applying electrical defibrillation to the patient if the exponent decreases in response to the CPR. - View Dependent Claims (10, 11, 12, 13, 14, 15)
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16. A system for quantitative characterization and treatment of ventricular fibrillation, comprising:
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a probe configured to acquire a time series of a ventricular fibrillation (VF) signal using a probe from a patient; and a computer processor in communication with the probe, wherein the computer processor is configured to subtract the mean from the time series of the VF signal, to calculate a cumulative VF signal after the mean is subtracted from the time series of the VF signal, to segment the cumulative VF signal by a plurality of sampling boxes, to calculate the root-mean-square of the cumulative VF signal as a function of the sampling box size, and to extract an exponent of the root-mean-square of the cumulative VF signal as a function of the sampling box size, wherein the computer processor is configured to recommend electrical defibrillation to the patient if the exponent is below a predetermined value, wherein the computer processor is configured to recommend application of cardiopulmonary resuscitation (CPR) to the patient if the exponent is above a predetermined value. - View Dependent Claims (17, 18, 19, 20, 21)
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Specification