Systems and methods for enhancing cardiac signal features used in morphology discrimination

• US 20080228093A1
• Filed: 03/13/2007
• Published: 09/18/2008
• Est. Priority Date: 03/13/2007
• Status: Abandoned Application

• Current Assignee: Cardiac Pacemakers Incorporated (Boston Scientific Corporation)
• Original Assignee: Cardiac Pacemakers Incorporated (Boston Scientific Corporation)
• Inventors: Meyer, Scott A., Dong, Yanting, Sathaye, Alok S., Ettori, Benjamin, Stalsberg, Kevin John, Maniak, Jeremy J.
• Application Number:
  US11/717,482
• Publication Number:
  US 20080228093A1
• Time in Patent Office: Days
• US Class Current: 600/510
• CPC Class Codes: A61B 5/35 by template matching
• CPC Class Codes: A61B 5/363 Detecting tachycardia or bradycardia
• CPC Class Codes: A61B 5/7203 for noise prevention, reduction or removal
• 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 1/371 Capture, i.e. successful stimulation
• CPC Class Codes: G16H 50/20 for computer-aided diagnosis, e.g. based on medical expert systems

Abstract

Methods and devices used to classify cardiac events based on morphological analysis of sensed signals are described. A signal comprising a cardiac signal component and a noise signal component is sensed. The sensed signal is processed to preferentially alter morphology of the cardiac signal component. The altered morphology of the cardiac signal component enhances detection of one or more features of the cardiac signal component. The features of the cardiac signal component are detected and the cardiac event is classified using the detected features. Processing the sensed signal may involve the use of adaptable signal processing parameters. For example, the signal processing parameters may be selected to accentuate one or more desirable features of the cardiac signal component or to mitigate one or more undesirable features of the cardiac signal component.

Claims

1. A method for classifying a cardiac event, comprising:

sensing a signal comprising a cardiac signal component and a noise signal component;

processing the sensed signal to preferentially alter morphology of the cardiac signal component of the sensed signal, the altered morphology of the cardiac signal component enhancing detection of one or more features of the cardiac signal component;

detecting the one or more features; and

classifying the cardiac event using the one or more detected features.

2. The method of claim 1, wherein processing the sensed signal comprises processing the sensed signal using adaptable signal processing parameters.

3. The method of claim 1, further comprising automatically determining signal processing parameters used to alter morphology of the cardiac signal component of the sensed signal.

4. The method of claim 1, further comprising determining signal processing parameters that accentuate one or more desirable features of the cardiac signal component or mitigate one or more undesirable features of the cardiac signal component.

5. The method of claim 4, wherein determining the signal processing parameters comprises determining the signal processing parameters that enhance a correlation coefficient between beats from cardiac episodes and a template.

6. The method of claim 4, wherein determining the signal processing parameters comprises determining the signal processing parameters based on an energy or power of the cardiac signal component.

7. The method of claim 1, further comprising:

detecting one or more undesirable features of the cardiac signal component of the sensed signal; and

determining signal processing parameters that mitigate the one or more undesirable features of the cardiac signal component.

8. The method of claim 7, wherein detecting the one or more undesirable features of the cardiac signal component comprises detecting the one or more undesirable features based on a gradient analysis.

9. The method of claim 7, wherein detecting the one or more undesirable features of the cardiac signal component comprises detecting the one or more undesirable features based on a curvature analysis.

10. The method of claim 1, wherein classifying the cardiac event comprises classifying a cardiac pacing response.

11. The method of claim 1, wherein classifying the cardiac event comprises classifying a tachyarrhythmia event.

12. A medical system, comprising:

sensing circuitry configured to sense a signal comprising a cardiac signal component and a noise component;

signal processing circuitry configured to process the sensed signal to alter morphology of the cardiac signal component of the sensed signal, the altered cardiac signal component enhancing detection of one or more features of the cardiac signal component;

a feature detector configured to detect the one or more features of the cardiac signal component; and

a cardiac event processor configured to classify a cardiac event using the one or more detected features.

13. The system of claim 12, wherein the signal processing circuit comprises a filter configured to alter the cardiac signal component.

14. The system of claim 13, wherein the filter comprises a high pass corner frequency of about 3 Hz.

15. The system of claim 13, wherein the filter comprises a low pass corner frequency of about 100 Hz.

16. The system of claim 12, further comprising a noise filter configured to filter the sensed signal to reduce the noise component of the sensed signal.

17. The system of claim 12, wherein parameters of the signal processing circuitry are derived from population based data.

18. The system of claim 12, wherein parameters of the signal processing circuitry are determined based on individual characteristics of a patient.

19. The system of claim 12, wherein parameters of the signal processing circuitry are automatically adaptable.

20. The system of claim 12, wherein the cardiac event processor comprises circuitry configured to determine a cardiac pacing response.

21. The system of claim 12, wherein the cardiac event processor comprises circuitry configured to detect tachyarrhythmia.

22. The system of claim 12, wherein the signal processing circuitry comprises a bank of signal processing units.

23. A medical system, comprising:

sensing circuitry configured to sense a signal comprising a cardiac signal component and a noise component;

means for processing the sensed signal to alter morphology of the cardiac signal component of the sensed signal, the altered morphology of the cardiac signal component enhancing detection of one or more features of the cardiac signal component;

a feature detector configured to detect the one or more features; and

a cardiac event processor configured to classify the cardiac event using the one or more detected features.

24. The system of claim 23, further comprising means for automatically determining parameters for processing the sensed signal.

25. The system of claim 23, further comprising means for altering at least one undesirable feature of the cardiac signal component.

26. The system of claim 23, further comprising means for enhancing at least one feature of the cardiac signal component.