System and method for predicting successful defibrillation for ventricular fibrillation cardiac arrest

• US 8,380,305 B2
• Filed: 07/01/2010
• Issued: 02/19/2013
• Est. Priority Date: 07/01/2010
• Status: Expired due to Fees

• Current Assignee: Dynadx Corporation
• Original Assignee: Dynadx Corporation
• Inventors: Lo, Men-Tzung, Lin, Lian-Yu, Ko, Patrick Chow-In, Lin, Chen, Ma, Matthew Huei-Ming
• Primary Examiner(s): Patel, Niketa
• Assistant Examiner(s): Flory, Christopher A
• Application Number:
  US12/829,286
• Publication Number:
  US 20120004693A1
• Time in Patent Office: 964 Days
• Field of Search: 607/5, 607/6, 600/509, 600/515
• US Class Current: 607/5
• CPC Class Codes: A61H 2230/04 Heartbeat characteristics, e.g. E.G.C., blood pressure modulation
• CPC Class Codes: A61H 31/005 with feedback for the user
• CPC Class Codes: A61N 1/3702 Physiological parameters A61N1/365 takes precedence; evoked response A61N1/371
• CPC Class Codes: A61N 1/3925 Monitoring; Protecting

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.

Claims

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 a mean of the time series of the VF signal 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 a trend in the cumulative VF signal in each of the plurality of sampling boxes;

subtracting the trend from the cumulative VF signal in each of the plurality of sampling boxes to produce a detrended cumulative VF signal;

calculating a root-mean-square of the detrended cumulative VF signal as a function of the sampling box size by the computer system;

identifying a first region and a second region in the detrended cumulative VF signal separated by a crossover point, wherein the detrended cumulative VF signal in the first region and the second region have different exponents as a function of the sampling box size, wherein the second region has larger sampling box sizes than the first region;

extracting, by the computer system, an exponent of the root-mean-square of the detrended cumulative VF signal in the second region 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.

2. The computer-assisted method of claim 1, further comprising:

applying electrical defibrillation to the patient after the step of applying CPR to the patient.

3. The computer-assisted method of claim 1, wherein the VF signal comprises a surface electrocardiogram (ECG) signal.

4. The computer-assisted method of claim 1, wherein the trend in a sampling box is a linear line with the least square fit to the cumulative VF signal in that sampling box.

5. The computer-assisted method of claim 1, wherein the exponent in the first region is larger than the exponent in the second region.

6. A computer-assisted method for quantitative characterization and treatment of ventricular fibrillation, comprising:

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 a mean of the time series of the VF signal 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 a trend in the cumulative VF signal in each of the plurality of sampling Boxes;

subtracting the trend from the cumulative VF signal in each of the plurality of sampling boxes to produce a detrended cumulative VF signal;

calculating a root-mean-square of the detrended cumulative VF signal as a function of the sampling box size by the computer system;

identifying a first region and a second region separated by a crossover point in the detrended cumulative VF signal, wherein the second region has larger sampling box sizes than the first region;

extracting, by the computer system, an exponent of the root-mean-square of the detrended cumulative VF signal as a function of the sampling box size in the second region; and

applying electrical defibrillation to the patient if the exponent decreases in response to the CPR.

7. The computer-assisted method of claim 6, wherein the VF signal comprises a surface electrocardiogram (ECG) signal.

8. The computer-assisted method of claim 6,

wherein the detrended cumulative VF signal in the first region and the second region have different exponents as a function of the sampling box size.

9. The computer-assisted method of claim 8, wherein the exponent in the first region is larger than the exponent in the second region.

10. The computer-assisted method of claim 6, wherein electrical defibrillation is applied to the patient if the exponent decreases by 0.1 or more in response to the CPR.

11. A system for quantitative characterization and treatment of ventricular fibrillation, comprising:

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 a mean of the time series of the VF signal 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 a trend in the cumulative VF signal in each of the plurality of sampling boxes and to subtract the trend from the cumulative VF signal in each of the plurality of sampling boxes to produce a detrended cumulative VF signal, to calculate a root-mean-square of the detrended cumulative VF signal as a function of the sampling box size, identify a first region and a second region in the detrended cumulative VF signal, and to extract an exponent of the root-mean-square of the cumulative VF signal in the second region as a function of the sampling box size, wherein the second region has larger sampling box sizes than the first region,

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.

12. The system of claim 11, wherein the system is configured to make recommendation to a medical personnel to apply electrical defibrillation to the patient after the application of CPR to the patient.

13. The system of claim 11, wherein the detrended cumulative VF signal has a larger exponent in the first region than in the second region.

14. The system of claim 11, further comprising a display device configured to display the detrended cumulative VF signal as a function of the sampling box size.

15. The system of claim 11, wherein the probe is configured to record the VF signal from the patient during a CPR applied to the patient, wherein the computer system is configured to extract the exponent of the root-mean-square of the cumulative VF signal during the CPR, wherein the system is configured to make recommendation to a medical personnel to apply electrical defibrillation to the patient after the application of CPR to the patient if the exponent decreases in response to the CPR.