Computer-assisted detection of systolic murmurs associated with hypertrophic cardiomyopathy

• US 20060161064A1
• Filed: 01/18/2005
• Published: 07/20/2006
• Est. Priority Date: 01/18/2005
• Status: Abandoned Application

• Current Assignee: Zargis Medical Corp.
• Original Assignee: Zargis Medical Corp.
• Inventors: Grove, Deborah M., Watrous, Raymond L.
• Application Number:
  US11/037,665
• Publication Number:
  US 20060161064A1
• Time in Patent Office: Days
• US Class Current: 600/509
• CPC Class Codes: A61B 7/04 Electric stethoscopes microphones, acoustic transducers therefor H04R
• CPC Class Codes: G16H 15/00 ICT specially adapted for medical reports, e.g. generation or transmission thereof

Abstract

A method for assisting in the diagnosis of heart murmurs. The method calculates a normalized measure of mid-range energy for at least one systolic or diastolic interval in a sequence of heartbeats and displays the mid-range energy measure of the systolic and/or diastolic interval in a graphical form. The sequence of heartbeats is also processed to detect and diagnose heart murmurs by adjusting a murmur count threshold responsive to the mid-range energy. The method may be used to diagnose hypertrophic cardiomyopathy and to determine effective therapeutic drug dosage or therapeutic device setting.

Claims

1. A method for assisting in the diagnosis of heart murmurs, the method comprising the steps of:

calculating a normalized measure of mid-range energy for at least one of systolic or diastolic intervals in a sequence of heartbeats signals wherein the mid-range energy is between 150 and 600 Hz; and

displaying the mid-range energy measure of the at least one systolic or diastolic interval in a graphical form.

2. The method of claim 1 wherein the step of displaying the mid-range energy measure of the at least one systolic or diastolic interval includes the step of displaying the mid-range energy level as a bar graph.

3. The method of claim 2 further comprising the step of converting the mid-range energy into a murmur grade and displaying an indication of the murmur grade.

4. The method of claim 1 wherein the mid-range energy is between 206 Hz and 566 Hz.

5. The method of claim 1 wherein the step of calculating a normalized, mid-range energy further comprises the step of processing the audio signals using a Morlet wavelet.

6. The method of claim 1 wherein:

the step of calculating the normalized measure of mid-range energy includes the steps of;

dividing the at least one of the systolic or diastolic intervals into a plurality of subintervals;

calculating respective measures of the mid-range energy for each of the subintervals; and

the step of displaying the mid-range energy comprises the step of graphically displaying the calculated mid-range energy measures for each of the plurality of sub-intervals.

7. The method of claim 6 wherein:

the step of dividing the at least one of the systolic or diastolic intervals into a plurality of subintervals includes the steps of;

subdividing the systolic intervals into at least three time intervals;

subdividing the diastolic intervals into at least three time intervals.

8. A method for assisting in the diagnosis of heart murmurs, the method comprising the steps of:

receiving an audio signal representing heart sounds;

detecting heart murmurs in the audio signal during a predetermined interval to develop a count of the murmurs;

processing the audio signal to develop a measure of mid-range energy wherein the mid-range energy is in a range between 150 and 600 Hz;

adjusting a murmur count threshold responsive to the measure of mid-range energy; and

diagnosing a heart condition responsive to the murmur count and the adjusted murmur count threshold.

9. The method of claim 8 wherein the mid-range energy is in a range between 206 Hz and 566 Hz.

10. The method of claim 8 further comprising the step of adjusting the murmur count threshold in an inverse proportion to the measure of mid-range energy.

11. The method of claim 10 further comprising the step of translating the mid-range energy into a murmur grade and adjusting the murmur count threshold responsive to the murmur grade.

12. The method of claim 10 wherein the step of diagnosing the heart condition includes the step of diagnosing a murmur in one of the systolic and diastolic intervals.

13. A method for determining an effective dose of a therapeutic agent for treating a heart condition, the method comprising the steps of:

(a) administering a trial dosage of the therapeutic agent;

(b) receiving an audio signal representing heart sounds;

(c) detecting heart murmurs in the audio signal during a predetermined interval to develop a count of the murmurs;

(c) processing the audio signal to develop a measure of mid-range energy wherein the mid-range energy is in a range between 150 and 600 Hz;

(d) adjusting a murmur count threshold responsive to the measure of mid-range energy; and

(e) determining an effectiveness of the trial dose of the therapeutic agent responsive to the murmur count and the adjusted murmur count threshold;

(f) repeating steps (a) through (e) until the effective dose of the therapeutic agent is determined.

14. A method for adjusting a parameter of a therapeutic device to treat a heart condition, the method comprising the steps of:

(a) setting the parameter to a trial setting;

(b) receiving an audio signal representing heart sounds;

(c) detecting heart murmurs in the audio signal during a predetermined interval to develop a count of the murmurs;

(c) processing the audio signal to develop a measure of mid-range energy wherein the mid-range energy is in a range between 150 and 600 Hz;

(d) adjusting a murmur count threshold responsive to the measure of mid-range energy; and

(e) determining an effectiveness of the trial parameter setting responsive to the murmur count and the adjusted murmur count threshold.

(f) repeating steps (a) through (e) until an effective value of the parameter is determined.

15. The method of claim 14 wherein the therapeutic device is a pacemaker.

16. A method for diagnosing cardiac murmurs associated with hypertrophic cardiomyopathy (HCM) in a patient, the method comprising the steps of:

determining presence and magnitude of cardiac murmurs in the patient while the patient is in a plurality of posture;

comparing the determined magnitude of cardiac murmurs in the plurality of postures to diagnose HCM in the patient;

wherein the step of determining the presence and magnitude of cardiac murmurs comprises the steps of;

receiving an audio signal representing heart sounds;

detecting cardiac murmurs in the audio signal during a predetermined interval to develop a count of the murmurs;

processing the audio signal to develop a measure of mid-range energy wherein the mid-range energy is in a range between 150 and 600 Hz, the measure of mid-range energy represents the magnitude of the cardiac murmurs;

adjusting a murmur count threshold responsive to the measure of mid-range energy; and

determining the presence of cardiac murmurs responsive to the murmur count and the adjusted murmur count threshold.

17. The method of claim 16 wherein the mid-range energy is between 206 Hz and 566 Hz.

18. The method of claim 16 wherein the step of determining presence of cardiac murmurs in the first and second postures includes generating the audio signal representing the heart sounds by applying an electronic stethoscope to the apex measurement point of the patient.

19. The method of claim 18 wherein the plurality of postures includes an upright posture and a reclining posture.

20. A method for detecting cardiac murmurs, the method comprising the steps of:

receiving an audio signal representing heart sounds;

processing the audio signal using a hidden Markov model HMM to identify heart beats and cardiac murmurs within the heart beats;

calculating respective counts of heart beats and heart beats with murmurs detected during the predetermined interval;

computing a duration for each detected heart beat and a median duration for all heart beats detected during a predetermined interval;

comparing the count of heart beats detected during the predetermined interval to a number of heart beats that should have been detected based on the median duration and the predetermined interval to calculate a beat detection ratio;

calculating a murmur count threshold responsive to the calculated beat detection ratio;

processing the audio signal to develop a measure of mid-range energy wherein the mid-range energy is in a range between 150 and 600 Hz;

adjusting the murmur count threshold responsive to the measure of mid-range energy; and

determining the presence of cardiac murmurs responsive to the murmur count and the adjusted murmur count threshold.

21. The method of claim 20 wherein the step of adjusting the murmur count threshold adjusts the threshold in inverse proportion to the measure of mid-range energy.

22. The method of claim 20 and further including processing the audio signal using a neural network to identify heart beats and cardiac murmurs within the heart beats.

23. The method of claim 22, wherein the neural network is of time-delay type.

24. The method of claim 20 and further including processing the audio signal using MEL cepstrum signal analysis to identify heart beats and cardiac murmurs within the heart beats.

25. A computer readable medium including computer program instructions adapted to instruct a general purpose computer to perform a method for assisting in the diagnosis of heart murmurs in response to a received audio signal representing heart sounds, the method comprising the steps of:

detecting heart murmurs in the audio signal during a predetermined interval to develop a count of the murmurs;

processing the audio signal to develop a measure of mid-range energy wherein the mid-range energy is in a range between 150 and 600 Hz;

adjusting a murmur count threshold responsive to the measure of mid-range energy; and

diagnosing a heart condition responsive to the murmur count and the adjusted murmur count threshold.

26. The computer readable medium of claim 25 wherein the computer program instructions which instruct the general purpose computer to perform step of processing the audio signal instruct the computer to process the mid-range energy in a range between 206 Hz and 566 Hz.

27. The computer readable medium of claim 25 wherein the computer program instructions which instruct the general purpose computer to perform step of adjusting the murmur count threshold instruct the computer to adjust the murmur count threshold in an inverse proportion to the measure of mid-range energy.

28. The computer readable medium of claim 25 further comprising computer program instructions adapted to instruct the general purpose computer to perform the step of translating the mid-range energy into a murmur grade, wherein the computer program instructions that are adapted to instruct the general purpose computer to adjust the murmur count threshold, cause the computer to adjust the murmur count threshold responsive to the murmur grade.