Method and system for automatically classifying intracardiac electrograms

• US 5,280,792 A
• Filed: 09/18/1992
• Issued: 01/25/1994
• Est. Priority Date: 09/20/1991
• Status: Expired due to Fees

• Current Assignee: University of Sydney
• Original Assignee: University of Sydney
• Inventors: Jabri, Marwan A., Leong, Philip H. W.
• Primary Examiner(s): Kamm, William E.
• Application Number:
  US07/947,337
• Time in Patent Office: 494 Days
• Field of Search: 128/702-705, 128/419, 395/22, 395/26, 395/27
• US Class Current: 600/515
• CPC Class Codes: A61B 5/35 by template matching
• CPC Class Codes: A61B 5/363 Detecting tachycardia or bradycardia
• CPC Class Codes: A61B 5/7267 involving training the classification device
• CPC Class Codes: A61N 1/3956 Implantable devices for applying electric shocks to the heart, e.g. for cardioversion
• CPC Class Codes: G16H 40/60 for the operation of medical equipment or devices
• CPC Class Codes: G16H 50/20 for computer-aided diagnosis, e.g. based on medical expert systems
• CPC Class Codes: Y10S 128/925 Neural network
• CPC Class Codes: Y10S 706/924 Medical

Abstract

The application is directed to a method for automatically classifying intracardiac electrograms, and a system for performing the method. In a further aspect, it concerns an implantable cardioverter defibrillator which incorporates the system and uses the method to monitor cardiac activity and deliver appropriate treatment. The method uses a combination of timing analysis and pattern matching using a neural network in order to correctly classify the electrograms. This technique allows both changes in rate and morphology to be taken into account.

Claims

1. A method for automatically classifying intracardiac electrograms, comprising the steps of:

(a) receiving a first input signal representing an electrogram;

(b) extracting timing parameters from the first input signal, and deriving from them a first output signal;

(c) receiving a second input signal representing the electrogram;

(d) training a neural network using a signal representative of an arrhythmia to recognize that arrhythmia;

(e) deriving a second output signal, which is a measure of the electrogram'"'"'s likeness to the signal representative of the arrhythmia, from the second input signal, using the neural network; and

(f) indicating the classification taking into account the first output signal derived in step (a), and the second output signal derived in step (b).

2. A method according to claim 1, wherein in the step of receiving a first input signal, receiving a first input signal which represents ventricular activity in a first channel and atrial activity in the second channel.

3. A method according to claim 2, wherein in the step of receiving the second input signal, receiving a second input signal which represents ventricular activity.

4. A method according to claim 2, wherein in step (b) extracting the phase difference between the ventricular channel and the atrial channel, determining whether the ratio of this number to the ventricular period is less than a predetermined amount;

and indicating, in the first output signal, normal sinus rhythm if the ratio is less than the predetermined amount.

5. A method according to claim 2, wherein in step (b) extracting the periods of the ventricular channel and the atrial channel;

determining whether the ratio of the period of the atrial waveform to the period of the ventricular waveform is greater than a predetermined amount; and

indicating, in the first output signal, atrial-ventricular dissociation if the ratio is greater than the predetermined amount.

6. A method according to claim 2, wherein in step (b) extracting the ventricular channel period, the atrial channel period, and the phase difference between the ventricular and atrial channels and:

determining whether the ventricular period is less than a first threshold; and

indicating, in the first output signal, ventricular fibrillation if the ventricular period is less than the first threshold;

determining whether the ventricular period is between the first threshold and a second, higher, threshold and determining whether the ratio of the period of the atrial waveform to the period of the ventricular waveform is greater than a predetermined amount, then indicating, in the first output signal, ventricular fibrillation if the ventricular period is between the first and second thresholds and the ratio is greater than the predetermined amount;

determining whether the ventricular period is greater than the second threshold and determining whether the ratio of the period of the atrial waveform to the period of the ventricular waveform is greater than a predetermined amount, then indicating, in the first output signal, ventricular tachycardia if the ventricular period is greater than the second threshold and the ratio is greater than the predetermined amount;

otherwise,

determining whether the atrial period is less than a third threshold, between the first and second, then indicating, in the first output signal, supraventricular tachycardia if the atrial period is less than the third threshold;

determining whether the ratio of the phase difference between the ventricular channel and the atrial channel, and the ventricular period is less than a predetermined amount, and indicating, in the first output signal, normal sinus rhythm if the ratio is less than the predetermined amount;

otherwise indicating, in the first output signal, supraventricular tachycardia.

7. A method according to claim 6 wherein in step training the neural network with signals representative of normal sinus rhythm and ventricular tachycardia with 1:

1 retrograde conduction to recognize normal sinus rhythm and ventricular tachycardia with 1;

1 retrograde conduction, and in step (e) deriving a second output signal which is a measure of the electrogram'"'"'s likeness to the signal representative of ventricular tachycardia with 1;

1 retrograde conduction.

8. A method according to claim 7 wherein indicating in step (f) that classification is ventricular tachycardia with 1:

1 retrograde conduction if the second output signal indicates a measure of more than a predetermined value of likeness to 1;

1 retrograde conduction.

9. A method according to claim 8 including the further step after step (f) of providing a classification indication only when a predetermined number of the immediately preceding classifications indicated in step (f) are the same.

10. A method according to claim 1, wherein step (f) comprises indicating the classification indicated by the first output signal if it indicates ventricular fibrillation arrhythmia;

otherwise indicating the classification indicated by the second output signal if the measure of likeness to the signal representative of arrhythmia is greater than a predetermined value, or indicating the classification indicated by the first output signal if the measure of likeness is less than the predetermined value.

11. A system for automatically classifying intracardiac electrograms comprising:

first signal receiving means to receive a first input signal representing an electrogram;

timing classification means to derive a first output signal from timing parameters extracted from the first input signal;

second signal receiving means to receive a second input signal representing the electrogram;

a neural network trained using a signal representative of an arrhythmia to recognize that arrhythmia and including means to derive a second output signal which is a measure of the second input signal'"'"'s likeness to the signal representative of the arrhythmia; and

decision means operative, taking into account the first output signal from the timing classification means and the second output signal from the neural network, to indicate the classification.

12. A system according to claim 11 wherein the neural network comprises a multi-layer perceptron.

13. A system according to claim 11 wherein the neural network is trained to recognize normal sinus rhythm and ventricular tachycardia with 1:

1 retrograde conduction, and the second output signal is a measure of the electrogram'"'"'s likeness to a signal representative of ventricular tachycardia with 1;

1 retrograde conduction.

14. A system according to claim 11 wherein the first signal receiving means is able to receive a first input signal having two channels and the first input signal represents ventricular activity in a first channel and atrial activity in a second channel.

15. A system according to claim 11 wherein the second input signal represents ventricular activity.

16. A system according to claim 11 wherein the decision means incorporates means to indicate measure whether likeness to the arrhythmia is greater than a predetermined value, and means to indicate the classification indicated by the second output signal when the measure is greater than the predetermined value.

17. A system according to claim 11 wherein the timing classification means includes means to determine ventricular fibrillation arrhythmia, and the decision means incorporates means to indicate the classification indicated by the first output signal if ventricular fibrillation arrhythmia is indicated by the timing classification means;

and the decision means includes means to indicate the classification indicated by the second output signal when the measure of likeness to the arrhythmia is greater than a predetermined value, or the classification indicated by the first output signal when the measure of likeness is less than the predetermined value.

18. An implantable cardioverter defibrillator comprising:

first signal receiving means to receive a first input signal representing an electrogram;

timing classification means to derive a first output signal from timing parameters extracted from the first input signal;

second signal receiving means to receive a second input signal representing the electrogram;

a neural network trained using a signal representative of an arrhythmia to recognize that arrhythmia and including means to derive a second output signal which is a measure of the second input signal'"'"'s likeness to the signal representative of the arrhythmia; and

decision means operative, taking into account the first output signal from the timing classification means and the second output signal from the neural network, to indicate the classification;

wherein the first and second signal receiving means consist of sensing electrodes; and

which includes means to use the indicated classification to determine the appropriate therapy to apply.

19. A method for automatically classifying intracardiac electrograms, comprising the steps of:

receiving a first input signal having two channels and representing ventricular activity in a first channel and atrial activity in the second channel;

extracting timing parameters from a first input signal, wherein the timing parameters extracted are the ventricular channel period, the atrial channel period, and the phase difference between the ventricular and atrial channels

deriving from the timing parameters a first output signal;

determining whether the ventricular period is less than a first threshold and indicating, in the first output signal, ventricular fibrillation if the ventricular period is lesser than the first threshold;

determining whether the ventricular period is between the first threshold and a second, higher, threshold and determining whether the ratio of the period of the atrial waveform to the period of the ventricular waveform is greater than a predetermined amount; and

indicating, in the first output signal, ventricular fibrillation if the ventricular period is between the first and second threshold and the ratio is greater than the predetermined amount;

determining whether the ventricular period is greater than the second threshold and determining whether the ratio of the period of the atrial waveform to the period of the ventricular waveform is greater than a predetermined amount; and

indicating, in the first output signal, ventricular tachycardia if the ventricular period is greater than the second threshold and the ratio is greater than the predetermined amount;

otherwise,

determining whether the atrial period is less than a third threshold, between the first and second; and

indicating, in the first output signal, supraventricular tachycardia if the atrial period is less than the third threshold;

determining whether the ratio of the phase difference between the ventricular channel and the atrial channel, and the ventricular period is less than a predetermined amount; and

indicating, in the first output signal, normal sinus rhythm if the ratio is less than the predetermined amount;

otherwise indicating, in the first output signal, supraventricular tachycardia.