System and method for processing voice feedback in conjunction with heart failure assessment

• US 20070293739A1
• Filed: 08/20/2007
• Published: 12/20/2007
• Est. Priority Date: 06/03/1999
• Status: Abandoned Application

• Current Assignee: Cardiac Pacemakers Incorporated (Boston Scientific Corporation)
• Original Assignee: Cardiac Pacemakers Incorporated (Boston Scientific Corporation)
• Inventors: Bardy, Gust
• Application Number:
  US11/894,305
• Publication Number:
  US 20070293739A1
• Time in Patent Office: Days
• US Class Current: 600/301
• CPC Class Codes: A61B 5/0006 ECG or EEG signals
• CPC Class Codes: A61B 5/0031 Implanted circuitry
• 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: A61B 5/7465 Arrangements for interactive communication between patient and care services, e.g. by using a telephone network telemetry of measured physiological signal A61B5/0002
• CPC Class Codes: G16H 10/60 for patient-specific data, e.g. for electronic patient records
• CPC Class Codes: G16H 40/63 for local operation
• CPC Class Codes: G16H 40/67 for remote operation
• CPC Class Codes: G16H 50/30 for calculating health indices; for individual health risk assessment

Abstract

A system and method for providing voice feedback from sampled physiometry and self-evaluation in conjunction with heart failure assessment is presented. Physiological measures including direct measures recorded on a continuous basis and measures derived from the direct measures are stored. Voice feedback spoken as speech is recorded contemporaneous to the recordation of the measures. The voice feedback is quantified into quality of life measures by normalizing the speech against a voice grammar and speech vocabulary. The physiological measures, related to a same type of physiometry and a different type of physiometry, are sampled. A status is determined through analysis of the sampled measures assembled from recordation points and the quality of life measures spoken. Trends indicated by the status, including one of a status quo and a change, which affect cardiac performance, are identified. Each trend is compared to worsening heart failure indications to generate a notification of parameter violations.

Claims

1. A system for processing voice feedback in conjunction with heart failure assessment, comprising:

a data module to assemble physiological measures, which were directly recorded as data on a substantially continuous basis by a medical device for a patient or indirectly derived from the data;

a feedback module to collect voice feedback spoken by the patient contemporaneous to the recordation of the physiological measures;

a quantifier to quantify the voice feedback into quality of life measures;

a status module to determine a status for the patient through sampling and analysis of the physiological measures and the quality of life measures over a plurality of data assembly points; and

an evaluation module to evaluate the physiological measures, comprising;

an analysis module to analyze any trend comprising one of a status quo and a change in cardiac performance; and

a comparison module to compare the trend to worsening heart failure indications.

2. A system according to claim 1, further comprising:

a quality of life module to associate quality of life measures chronicled by the patient with the physiological measures.

3. A system according to claim 1, wherein the change in cardiac performance is selected from the group comprising an onset, progression, and regression of a cardiac performance parameter.

4. A system according to claim 1, further comprising:

an interface over which to request the voice feedback through prompts, which are each associated one of the quality of life measures; and

a parser to parse the voice feedback against a voice grammar and speech vocabulary.

5. A system according to claim 1, further comprising:

a normalizer to normalize the voice feedback into quantifiable data upon which the status can be determined in part.

6. A system according to claim 1, wherein the worsening heart failure indications are selected from the group comprising pulmonary artery pressure, left atrial pressure, dyspnea, orthopnea, pulmonary edema, peripheral edema, and fatigue.

7. A system according to claim 1, further comprising:

a measurement module to measure one or more of pulmonary artery pressure, heart rate, heart sounds, intrathoracic impedance, respiration, posture, lung fluid, activity, weight, and physiological response to activity.

8. A system according to claim 1, further comprising:

a reprogramming module to reprogram a medical device based on evaluation of the physiological measures.

9. A system according to claim 8, wherein the worsening heart failure indications are factored into the reprogramming.

10. A system according to claim 1, wherein respiration rate is tracked through the medical device, further comprising:

a notification module to generate a notification triggered by a parameter assigned to the respiration rate.

11. A system according to claim 10, wherein the parameter comprises one or more of an upper limit parameter applied over a short term and a counter parameter applied over a long term.

12. A system according to claim 1, wherein the medical device comprises one of an implantable medical device and an external medical device.

13. A method for processing voice feedback in conjunction with heart failure assessment, comprising:

assembling physiological measures, which were directly recorded as data on a substantially continuous basis by a medical device for a patient or indirectly derived from the data;

collecting voice feedback spoken by the patient contemporaneous to the recordation of the physiological measures;

quantifying the voice feedback into quality of life measures;

determining a status for the patient through sampling and analysis of the physiological measures and the quality of life measures over a plurality of data assembly points; and

evaluating the physiological measures relative to the patient status by analyzing any trend comprising one of a status quo and a change in cardiac performance and comparing the trend to worsening heart failure indications.

14. A method according to claim 13, further comprising:

associating quality of life measures chronicled by the patient with the physiological measures.

15. A method according to claim 13, wherein the change in cardiac performance is selected from the group comprising an onset, progression, and regression of a cardiac performance parameter.

16. A method according to claim 13, further comprising:

requesting the voice feedback through prompts, which are each associated one of the quality of life measures; and

parsing the voice feedback against a voice grammar and speech vocabulary.

17. A method according to claim 13, further comprising:

normalizing the voice feedback into quantifiable data upon which the status can be determined in part.

18. A method according to claim 13, wherein the worsening heart failure indications are selected from the group comprising pulmonary artery pressure, left atrial pressure, dyspnea, orthopnea, pulmonary edema, peripheral edema, and fatigue.

19. A method according to claim 13, further comprising:

measuring one or more of pulmonary artery pressure, heart rate, heart sounds, intrathoracic impedance, respiration, posture, lung fluid, activity, weight, and physiological response to activity.

20. A method according to claim 13, further comprising:

reprogramming a medical device based on evaluation of the physiological measures.

21. A method according to claim 20, further comprising:

factoring the worsening heart failure indications into the reprogramming.

22. A method according to claim 13, further comprising:

tracking respiration rate through the medical device; and

generating a notification triggered by a parameter assigned to the respiration rate.

23. A method according to claim 22, wherein the parameter comprises one or more of an upper limit parameter applied over a short term and a counter parameter applied over a long term.

24. A method according to claim 13, wherein the medical device comprises one of an implantable medical device and an external medical device.

25. A system for providing voice feedback from sampled physiometry and self-evaluation in conjunction with heart failure assessment, comprising:

a storage module to store physiological measures comprising at least one of direct measures regularly recorded on a substantially continuous basis by a medical device for a patient and measures derived from the direct measures;

a voice recorder to record voice feedback spoken as ordinary speech by the patient contemporaneous to the recordation of the physiological measures;

a voice processor to quantify the voice feedback into quality of life measures by normalizing the ordinary speech against a voice grammar and speech vocabulary;

a sampling module to sample at least one of those of the physiological measures, which each relate to a same type of physiometry, and those of the physiological measures, which each relate to a different type of physiometry;

a status module to determine a status for the patient through analysis of those sampled physiological measures assembled from a plurality of recordation points and those quantified quality of life measures contemporaneously spoken to those points; and

an evaluation module to evaluate the sampled physiological measures, comprising;

an analysis module to identify any trends that are indicated by the patient status comprising one of a status quo and a change, which might affect cardiac performance of the patient; and

a comparison module to compare each such trend to worsening heart failure indications to generate a notification of parameter violations.

26. A system according to claim 25, further comprising:

a reprogramming module to reprogram a medical device based on extended evaluation of the direct measures and the derived measures.

27. A system according to claim 25, further comprising:

a tracking module to track respiration rate of the patient on a regular basis through the medical device; and

a notification module to generate a notification triggered by one or more of an upper limit parameter applied over a short term and a counter parameter applied over a long term.

28. A method for providing voice feedback from sampled physiometry and self-evaluation in conjunction with heart failure assessment, comprising:

storing physiological measures comprising at least one of direct measures regularly recorded on a substantially continuous basis by a medical device for a patient and measures derived from the direct measures;

recording voice feedback spoken as ordinary speech by the patient contemporaneous to the recordation of the physiological measures;

quantifying the voice feedback into quality of life measures by normalizing the ordinary speech against a voice grammar and speech vocabulary;

sampling at least one of those of the physiological measures, which each relate to a same type of physiometry, and those of the physiological measures, which each relate to a different type of physiometry;

determining a status for the patient through analysis of those sampled physiological measures assembled from a plurality of recordation points and those quantified quality of life measures contemporaneously spoken to those points; and

evaluating the sampled physiological measures, comprising;

identifying any trends that are indicated by the patient status comprising one of a status quo and a change, which might affect cardiac performance of the patient; and

comparing each such trend to worsening heart failure indications to generate a notification of parameter violations.

29. A method according to claim 28, further comprising:

reprogramming a medical device based on extended evaluation of the direct measures and the derived measures.

30. A method according to claim 28, further comprising:

tracking respiration rate of the patient on a regular basis through the medical device; and