AUTOMATED HEART FUNCTION CLASSIFICATION TO STANDARDIZED CLASSES

• US 20090227883A1
• Filed: 03/02/2009
• Published: 09/10/2009
• Est. Priority Date: 03/05/2008
• Status: Abandoned Application

• Current Assignee: Cardiac Pacemakers Incorporated (Boston Scientific Corporation)
• Original Assignee: Cardiac Pacemakers Incorporated (Boston Scientific Corporation)
• Inventors: Patangay, Abhilash, Zhang, Yi, Zhang, Yunlong
• Application Number:
  US12/396,196
• Publication Number:
  US 20090227883A1
• Time in Patent Office: Days
• US Class Current: 600/509
• CPC Class Codes: A61B 5/0205 Simultaneously evaluating both cardiovascular conditions and different types of body conditions, e.g. heart and respiratory condition
• CPC Class Codes: A61B 5/0816 Measuring devices for examining respiratory frequency measuring frequency of electric signals G01R23/00
• 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: A61B 5/7275 Determining trends in physiological measurement data; Predicting development of a medical condition based on physiological measurements, e.g. determining a risk factor
• CPC Class Codes: G16H 20/30 relating to physical therapies or activities, e.g. physiotherapy, acupressure or exercising
• CPC Class Codes: G16H 40/60 for the operation of medical equipment or devices
• CPC Class Codes: G16H 40/63 for local operation
• CPC Class Codes: G16H 50/30 for calculating health indices; for individual health risk assessment

Abstract

A system and method automatically classifies a patient'"'"'s heart function status, such as by using an implantable medical device (IMD) to determine a physiological response to activity, and using that information to perform the classification. For example, a physical activity sensor and a physiological sensor are used to automatically classify patients into heart function status classes, such as NYHA classes or ACC/AHA classes. Changes in a patient'"'"'s classification can be used to monitor heart function status over time and to monitor therapy responsiveness.

Claims

1. A system comprising:

a physical activity sensor, configured to sense an indication of physical activity of a patient;

a physiological sensor, configured to sense a physiological response of a patient corresponding to the sensed indication of the physical activity of the patient;

a signal processor circuit, configured to receive the indication of physical activity of the patient from the physical activity sensor, and configured to receive the physiological response of the patient from the physiological sensor, and configured to automatically classify the patient into a classification corresponding to a cardiac function status of the patient, the classification selected from a group of standard diagnostic classes describing different cardiac function statuses, the classes recognized by a medical standard-establishing organization; and

a patient classification memory storage location, configured to store an indication of the classification of the patient to be provided to a user or process.

2. The system of claim 1, wherein the signal processor circuit is configured to repeat the classifying over a period of time, and wherein the signal processor circuit is configured to detect a change in the classification during the period of time, and wherein the system is configured to provide an indication of the change in the classification of the patient to a user or process.

3. The system of claim 1, wherein the signal processor circuit is configured to classify the patient into a NYHA class that is automatically selected from a group of NYHA classes using the physiological response to activity.

4. The system of claim 1, wherein the signal processor circuit is configured to classify the patient into an ACC/AHA class that is automatically selected from a group of ACC/AHA classes using the physiological response to activity.

5. The system of claim 1, wherein the physiological sensor comprises a pH sensor configured to sense a pH from the patient.

6. The system of claim 5, wherein the signal processor circuit is configured to use the pH to determine an indication of fatigue, and to use the indication of fatigue to automatically classify the patient into a classification corresponding to a cardiac function status of the patient.

7. The system of claim 1, wherein the physiological sensor comprises a heart rate sensor configured to sense a heart rate of the patient, and wherein the signal processor circuit is coupled to the heart rate sensor to receive and use information about the sensed heart rate to automatically classify the patient into a classification corresponding to the cardiac function status of the patient.

8. The system of claim 1, wherein the physiological sensor comprises a respiration sensor configured to sense a respiration rate of the patient, and wherein the signal processor circuit is coupled to the respiration sensor to receive and use information about the sensed respiration rate to automatically classify the patient into a classification corresponding to the cardiac function status of the patient.

9. The system of claim 1, wherein the physiological sensor comprises a periodic breathing sensor configured to sense a periodic breathing of the patient, and wherein the signal processor circuit is coupled to the periodic breathing sensor to receive and use information about the sensed periodic breathing to automatically classify the patient into a classification corresponding to the cardiac function status of the patient.

10. The system of claim 1, wherein the signal processor is configured to compute an indication of the physiological response to activity by:

detecting a first measurement of a physiological parameter corresponding to a relatively lower degree of physical activity of the patient;

detecting a second measurement of the physiological parameter at a relatively greater degree of physical activity of the patient than that corresponding to the first measurement; and

determining the physiological response to activity using a change in the physiological parameter between the first and second measurements of the physiological parameter.

11. The system of claim 1, wherein the signal processor is configured to automatically classify the patient into a classification corresponding to a cardiac function status of a patient by processing the measurement of the physiological response to activity using at least one of:

patient medication information, patient co-morbidity information, or physician-provided input.

12. A method comprising:

using a medical device, detecting an indication of physical activity of a patient;

using the medical device, detecting a measurement of a physiological response of the patient corresponding to the measurement of physical activity of the patient;

using the measurement of the physiological response, automatically classifying the patient into a classification corresponding to a cardiac function status of a patient, the classification selected from a group of standard diagnostic classes describing different cardiac function statuses, the group of classes recognized by a medical standard-establishing organization; and

providing an indication of the classification of the patient to a user or process.

13. The method of claim 12, comprising:

repeating the classifying over a period of time;

detecting a change in the classification during the period of time; and

providing an indication of the change in the classification of the patient to a user or process.

14. The method of claim 12, wherein classifying the patient into a classification corresponding to the cardiac function status of the patient comprises classifying the patient into a NYHA class that is automatically selected from a group of NYHA classes using the measurement of the physiological response to activity.

15. The method of claim 12, wherein classifying the patient into a classification corresponding to cardiac function status of the patient comprises classifying the patient into an ACC/AHA class that is automatically selected from a group of ACC/AHA classes using the measurement of the physiological response to activity.

16. The method of claim 12, wherein detecting the measurement of the physiological response corresponding to the measurement of physical activity comprises measuring pH.

17. The method of claim 16, comprising:

using the measured pH for generating an indication of fatigue; and

using the generated indication of fatigue for automatically classifying the patient into the classification corresponding to the cardiac function status of the patient.

18. The method of claim 12, wherein detecting the measurement of the physiological response corresponding to the measurement of physical activity comprises measuring heart rate, and wherein classifying the patient into the classification corresponding to a cardiac function status of the patient includes using the measured heart rate.

19. The method of claim 12, wherein detecting the measurement of the physiological response corresponding to the measurement of physical activity comprises measuring respiration rate, and wherein classifying the patient into the classification corresponding to a cardiac function status of the patient includes using the measured respiration rate.

20. The method of claim 12, wherein detecting the measurement of the physiological response corresponding to the measurement of physical activity comprises measuring periodic breathing, and wherein classifying the patient into the classification corresponding to a cardiac function status of the patient includes using the measured periodic breathing.

21. The method of claim 12, wherein detecting the measurement of the physiological response corresponding to the measurement of physical activity comprises:

detecting a first measurement of a physiological parameter corresponding to a relatively lower degree of physical activity of the patient;

detecting a second measurement of the physiological parameter at a relatively greater degree of physical activity of the patient than that corresponding to the first measurement; and

determining the physiological response to activity using a change in the physiological parameter between the first and second measurements of the physiological parameter.

22. The method of claim 21, wherein determining the measurement of the physiological response to activity comprises determining at least one degree of physical activity of the patient using at least one of:

a six-minute walk, a maximum exercise intensity level, or a maximum exercise duration.

23. The method of claim 12, wherein automatically classifying the patient into a classification corresponding to a cardiac function status of a patient comprises using the measurement of the physiological response to activity, including processing the measurement of the physiological response using at least one of:

patient medication information, patient co-morbidity information, or physician-provided input.