METHOD AND APPARATUS FOR MORPHOLOGY-BASED ARRHYTHMIA CLASSIFICATION USING CARDIAC AND OTHER PHYSIOLOGICAL SIGNALS

• US 20110160551A1
• Filed: 03/08/2011
• Published: 06/30/2011
• Est. Priority Date: 12/22/2005
• Status: Active Grant

• Current Assignee: Dan Li, Jaeho Kim, Kent Lee, Shelley Cazares
• Original Assignee: Dan Li, Jaeho Kim, Kent Lee, Shelley Cazares
• Inventors: Cazares, Shelley, Kim, Jaeho, Li, Dan, Lee, Kent
• Granted Patent: US 8,506,500 B2
• Time in Patent Office: Days
• US Class Current: 600/301
• CPC Class Codes: A61B 5/363 Detecting tachycardia or bradycardia
• CPC Class Codes: A61B 5/7264 Classification of physiological signals or data, e.g. using neural networks, statistical classifiers, expert systems or fuzzy systems neural networks per se G06N3/00; expert systems per se G06N5/00
• CPC Class Codes: A61N 1/3621 for treating or preventing abnormally high heart rate
• CPC Class Codes: A61N 1/36521 the parameter being derived from measurement of an electrical impedance
• CPC Class Codes: A61N 1/36542 controlled by body motion, e.g. acceleration
• CPC Class Codes: A61N 1/36564 controlled by blood pressure
• CPC Class Codes: A61N 1/36571 controlled by blood flow rate, e.g. blood velocity or cardiac output
• CPC Class Codes: A61N 1/36578 controlled by mechanical motion of the heart wall, e.g. measured by an accelerometer or microphone
• CPC Class Codes: A61N 1/36585 controlled by two or more physical parameters
• CPC Class Codes: A61N 1/3925 Monitoring; Protecting
• CPC Class Codes: A61N 1/39622 Pacing therapy
• CPC Class Codes: G16H 50/20 for computer-aided diagnosis, e.g. based on medical expert systems

Abstract

A tachyarrhythmia detection and classification system classifies tachyarrhythmias based on an analysis of morphological features of a cardiac signal enhanced by using one or more physiological parameters indicative of hemodynamic stability and/or activity level. The tachyarrhythmia detection and classification system computes a measure of similarity between an arrhythmic waveform of the cardiac signal, a template waveform for that cardiac signal, such as a correlation coefficient representative of the correlation between morphological features of the arrhythmic waveform and morphological features of the template waveform. A detected tachyarrhythmia episode is classified by comparing the measure of similarity to a threshold that is dynamically adjusted using the one or more physiological parameters.

Claims

1. A tachyarrhythmia detection and classification system, comprising:

a cardiac sensing circuit configured to sense a cardiac signal;

a hemodynamic sensor configured to sense a hemodynamic signal;

a tachyarrhythmia detector coupled to the cardiac sensing circuit, the tachyarrhythmia detector configured to detect a tachyarrhythmia episode using the cardiac signal;

a physiological parameter generator coupled to the physiological sensor, the physiological parameter generator configured to measure an arrhythmic hemodynamic parameter from the hemodynamic signal during the detected tachyarrhythmia episode; and

a morphology-based tachyarrhythmia classification module coupled to the cardiac sensing circuit, the physiological parameter generator, and the tachyarrhythmia detector, the morphology-based tachyarrhythmia classification module configured to extract arrhythmic morphological features of an arrhythmic heart beat of the detected tachyarrhythmia episode from the cardiac signal, compute a measure of similarity between the extracted arrhythmic morphological features of the arrhythmic heart beat and template morphological features of a template heart beat, and compare the computed measure of similarity to a beat classification threshold to classify the arrhythmic heart beat, the morphology-based tachyarrhythmia classification module including a threshold generator configured to dynamically adjust the beat classification threshold using the arrhythmic hemodynamic parameter and a template hemodynamic parameter.

2. The system of claim 1, wherein the hemodynamic signal comprises an impedance signal indicative of a transthoracic impedance or a cardiac impedance, and the hemodynamic sensor comprises an impedance sensor configured to sense the impedance signal.

3. The system of claim 2, wherein the physiological parameter generator is configured to measure arrhythmic stroke impedance from the impedance signal during the detected tachyarrhythmia episode, the stroke impedance being a difference between a maximum impedance and a minimum impedance over a cardiac cycle.

4. The system of claim 1, wherein the hemodynamic signal comprises a pressure signal indicative of an arterial pressure, and the hemodynamic sensor comprises a pressure sensor configured to sense the pressure signal.

5. The system of claim 4, wherein the pressure signal comprises a pulmonary artery pressure (PAP) signal indicative of PAP, and the pressure sensor comprises an implantable PAP sensor.

6. The system of claim 1, wherein the hemodynamic signal comprises a signal indicative of blood flow, and the hemodynamic sensor comprises a flow sensor configured to sense the signal indicative of blood flow.

7. The system of claim 1, wherein the hemodynamic signal comprises a signal indicative of heart sounds, and the hemodynamic sensor comprises a heart sound sensor configured to sense the signal indicative of heart sounds.

8. The system of claim 1, wherein the hemodynamic signal comprises an oximetry signal indicative of blood oxygenation, and the hemodynamic sensor comprises a pulse oximetry sensor configured to sense the oximetry signal.

9. The system of claim 1, wherein the hemodynamic signal comprises a plethysmographic signal indicative of cardiac output, and the hemodynamic sensor comprises a photoplethysmography sensor configured to sense the plethysmographic signal.

10. The system of claim 1, wherein the hemodynamic signal comprises a respiratory signal, and the hemodynamic sensor comprises a respiratory sensor configured to sense the respiratory signal.

11. The system of claim 1, wherein the hemodynamic signal comprises a cardiac contractility signal, and the hemodynamic sensor comprises a cardiac contractility sensor configured to sense the cardiac contractility signal.

12. The system of claim 1, wherein the morphology-based tachyarrhythmia classification module comprises:

a similarity analyzer configured to compute a correlation coefficient between the arrhythmic morphological features and the template morphological features for each arrhythmic heart beat of a plurality of arrhythmic heart beats of the detected tachyarrhythmia episode; and

a classifier including;

a beat classifier configured to classify the each arrhythmic heart beat;

a beat counter coupled to the beat classifier, the beat counter configured to count a number of the arrhythmic heart beats classified as the first type tachyarrhythmic heart beat; and

an episode classifier configured to indicate a classification of the detected tachyarrhythmia episode as one of a first type tachyarrhythmia and a second type tachyarrhythmia using the number of the arrhythmic heart beats classified as the first type tachyarrhythmic heart beat and an episode classification threshold.

13. The system of claim 12, comprising a further hemodynamic sensor configured to sense a further hemodynamic signal, and wherein the physiological parameter generator is configured to measure a further arrhythmic hemodynamic parameter from the further hemodynamic signal during the detected tachyarrhythmia episode, and the threshold generator is configured to dynamically adjust the beat classification threshold using the arrhythmic hemodynamic parameter, the further arrhythmic hemodynamic parameter, the template hemodynamic parameter, and a further template hemodynamic parameter.

14. The system of claim 12, further comprising a activity sensor configured to sense a activity signal indicative of an activity level, and wherein the physiological parameter generator is configured to measure an activity parameter indicative of the activity level, and the threshold generator is configured to dynamically adjust the beat classification threshold using the arrhythmic hemodynamic parameter, the template hemodynamic parameter, and the activity parameter.

15. A method for detecting and classifying tachyarrhythmia, the method comprising:

sensing a cardiac signal;

sensing a hemodynamic signal;

detecting a tachyarrhythmia episode using the cardiac signal;

measuring an arrhythmic hemodynamic parameter from the hemodynamic signal during the detected tachyarrhythmia episode;

extracting arrhythmic morphological features of an arrhythmic heart beat of the detected tachyarrhythmia episode from the cardiac signal;

computing a measure of similarity between the extracted arrhythmic morphological features of the arrhythmic heart beat and template morphological features of a template heart beat;

comparing the computed measure of similarity to a beat classification threshold to classify the arrhythmic heart beat; and

dynamically adjusting the beat classification threshold using the arrhythmic hemodynamic parameter and a template hemodynamic parameter.

16. The method of claim 15, comprising measuring the template hemodynamic parameter when hemodynamic performance is normal or stable.

17. The method of claim 15, comprising empirically estimating the template hemodynamic parameter from the hemodynamic signal during hemodynamically tolerable tachyarrhythmia.

18. The method of claim 15, wherein sensing the hemodynamic signal comprises sensing an impedance signal indicative of a transthoracic impedance or a cardiac impedance, a pressure signal indicative of an arterial pressure, a signal indicative of blood flow, a signal indicative of heart sounds, an oximetry signal indicative of blood oxygenation, a plethysmographic signal indicative of cardiac output, a respiratory signal, or a cardiac contractility signal.

19. The method of claim 15, comprising sensing a further hemodynamic signal and measuring a further arrhythmic hemodynamic parameter from the further hemodynamic signal during the detected tachyarrhythmia episode, and wherein dynamically adjusting the beat classification threshold comprises dynamically adjusting the beat classification threshold using the arrhythmic hemodynamic parameter, the further arrhythmic hemodynamic parameter, the template hemodynamic parameter, and a further template hemodynamic parameter.

20. The method of claim 15, further comprising sensing a activity signal indicative of an activity level and measuring an activity parameter indicative of the activity level, and wherein dynamically adjusting the beat classification threshold comprises dynamically adjusting the beat classification threshold using the arrhythmic hemodynamic parameter, the template hemodynamic parameter, and the activity parameter.