ECG rhythym advisory method

Patent metadata

Field	Value
Publication number	US-9693700-B2
Application number	US-201414256834-A
Country	US
Kind code	B2
Filing date	Apr 18, 2014
Priority date	May 12, 2004
Publication date	Jul 4, 2017
Grant date	Jul 4, 2017

Abstract

A method of automatically determining which type of treatment is most appropriate for a cardiac arrest victim, the method comprising transforming one or more time domain electrocardiogram (ECG) signals into a frequency domain representation comprising a plurality of discrete frequency bands, combining the discrete frequency bands into a plurality of analysis bands, wherein there are fewer analysis bands than discrete frequency bands,
determining the content of the analysis bands, and determining the type of treatment based on the content of the analysis bands.

First claim

What is claimed is:

1. An apparatus for automatically determining a type of treatment for a cardiac arrest victim, the apparatus comprising a processor, a memory, and associated circuitry, wherein the processor is configured to:
transform one or more time domain electrocardiogram (ECG) signals into frequency domain data, wherein the ECG signals being processed are from electrodes applied externally to the cardiac arrest victim and include periods of time when cardiopulmonary resuscitation (CPR) is being delivered to the cardiac arrest victim;
process the frequency domain data to determine a plurality of peaks;
determine, for at least one of the plurality of peaks, a plurality of parameters characteristic of the at least one of the plurality of peaks, wherein the plurality of parameters comprises a measure of a width of the at least one of the plurality of peaks; and
determine the type of treatment for the cardiac arrest victim based at least in part on the width of the at least one of the plurality of peaks.

2. The apparatus of claim 1 , wherein the processor is further configured to analyze a variation over time of one or more of the plurality of parameters.

3. The apparatus of claim 2 wherein the processor is configured to analyze a trajectory based on the plurality of parameters and the at least one of the plurality of peaks at more than two points in time.

4. The apparatus of claim 3 wherein the processor is configured to analyze the trajectory using estimation and prediction methods.

5. The apparatus of claim 4 wherein the analysis of the trajectory involves use of a recursive filter.

6. The apparatus of claim 5 wherein the recursive filter is Kalman filter.

7. The apparatus of claim 5 wherein the analysis of the trajectory involves use of a Particle filter.

8. The apparatus of claim 4 wherein the processor is configured to use the analysis of the trajectory to predict defibrillation success.

9. The apparatus of claim 4 wherein the processor is configured to use the analysis of the trajectory to determine whether it is appropriate to defibrillate or deliver an alternative therapy such as chest compressions, drugs such as epinephrine, constitutive nutrients such as glucose, or other electrical therapy such as pacing.

10. The apparatus of claim 4 wherein the processor is configured to perform a mathematical transformation on the trajectory.

11. The apparatus of claim 10 wherein the mathematical transformation is a two-dimensional projection of the trajectory onto a plane within a parameter space.

12. The apparatus of claim 11 wherein the processor is configured to use image mensuration algorithms to evaluate features of the two-dimensional projection of the trajectory.

13. The apparatus of claim 2 wherein the processor is configured to determine of a variation in a frequency for the one or more of the plurality of peaks to analyze the variation over time of the one or more of the plurality of parameters.

14. The apparatus of claim 1 wherein the processor is configured to estimate a shape of the at least one of the plurality of peaks to determine the plurality of parameters characterizing the at least one of the plurality of peaks.

15. The apparatus of claim 14 wherein the processor is configured to use a non-linear curve fitting routine to estimate the shape of the at least one of the plurality of peaks.

16. The apparatus of claim 1 wherein the plurality of parameters comprises a frequency and an amplitude of the at least one of the plurality of peaks.

17. The apparatus of claim 1 wherein the plurality of parameters comprises a depth of the at least one of the plurality of peaks.

18. The apparatus of claim 1 wherein the plurality of parameters comprises a variance of the at least one of the plurality of peaks.

19. The apparatus of claim 1 wherein the plurality of parameters comprises a first moment of the at least one of the plurality of peaks.

20. The apparatus of claim 1 further comprising one or more of a speaker and a display screen, wherein the processor is configured to control the one or more of the speaker and the display screen to provide the determined type of therapy to a rescuer.

21. The apparatus of claim 20 wherein the processor is configured to control the one or more of the speaker and the display screen to instruct the rescuer to provide a defibrillation shock to the cardiac arrest victim.

22. The apparatus of claim 1 wherein the apparatus is an automated external defibrillator (AED).

23. The apparatus of claim 22 wherein the AED is communicatively coupled to an automated mechanical chest compression device.

24. The apparatus of claim 23 wherein the processor is configured to communicate the determined type of therapy to the automated mechanical chest compression device.

25. The apparatus of claim 1 wherein the processor is configured to determine the type of treatment to be defibrillation, chest compressions, patient monitoring, or drug therapy.

26. The apparatus of claim 1 wherein the processor is configured to determine a time to deliver a defibrillation shock.

27. The apparatus of claim 26 wherein the processor is configured to synchronize the time to deliver the defibrillation shock with an occurrence of particular values for one or more of the plurality of parameters.

28. The apparatus of claim 27 wherein the processor is configured to synchronize the time to deliver the defibrillation shock with one of a maximum peak energy and a maximum peak amplitude associated with at least one of the plurality of peaks.

29. The apparatus of claim 1 wherein the processor is configured to process the ECG signals during ongoing CPR chest compressions.

30. The apparatus of claim 1 wherein the processor is configured to identify a physiological state of the heart of the cardiac arrest victim.

31. The apparatus of claim 30 wherein the processor is configured to identify the physiological state of the heart as one of normal sinus rhythm, ventricular fibrillation, shockable ventricular tachycardia, stable ventricular tachycardia, supraventricular rhythm, and pulseless electrical activity.

32. The apparatus of claim 1 wherein the processor is configured to determine the type of treatment for the cardiac arrest victim based at least in part on a detection of oscillation of one or more of the plurality of parameters.

33. The apparatus of claim 1 wherein the apparatus comprises a communications link to one or more of a chest compression device, a ventilation device, and a drug infusion device.

34. The apparatus of claim 33 wherein the processor is configured to control the one or more of the chest compression device, the ventilation device, and the drug infusion device.

35. The apparatus of claim 33 wherein the processor is configured to communicate the determined type of therapy to the one or more of the chest compression device, the ventilation device, and the drug infusion device.

36. The apparatus of claim 33 wherein the communications link is one or more of a wired connection and a wireless connection.

37. The apparatus of claim 33 wherein the communications link is a short-range wireless connection.

Assignees

• Zoll Medical Corp
• ZOLL Medical Corpoaration

Inventors

• Tan Qing
• Freeman Gary A
• Geheb Frederick J
• Brewer James E

Classifications

• A61B5/4839

  combined with drug delivery · CPC title

• A61B5/7257 Primary

  using Fourier transforms · CPC title

• A61N1/39044

  in combination with cardiopulmonary resuscitation [CPR] therapy · CPC title

• A61H31/005

  with feedback for the user · CPC title

• A61H2201/5015

  using specific interfaces or standards, e.g. USB, serial, parallel · CPC title