Third heart sound activity index for heart failure monitoring

• US 8,500,650 B2
• Filed: 07/02/2012
• Issued: 08/06/2013
• Est. Priority Date: 12/24/2003
• Status: Active Grant

• Current Assignee: Cardiac Pacemakers Incorporated (Boston Scientific Corporation)
• Original Assignee: Cardiac Pacemakers Incorporated (Boston Scientific Corporation)
• Inventors: Siejko, Krzysztof Z., Green, Laura, Carlson, Gerrard M.
• Primary Examiner(s): Layno, Carl H
• Assistant Examiner(s): Sarcione, Jessica
• Application Number:
  US13/540,092
• Publication Number:
  US 20120271186A1
• Time in Patent Office: 400 Days
• Field of Search: 600/528, 600/481, 600/508, 600/513, 600/514, 600/527, 600/586, 607 4- 6, 607/9, 607 17- 19
• US Class Current: 600/528
• CPC Class Codes: A61B 2562/0204 Acoustic sensors
• CPC Class Codes: A61B 2562/0219 Inertial sensors, e.g. accelerometers, gyroscopes, tilt switches
• CPC Class Codes: A61B 5/02028 Determining haemodynamic parameters not otherwise provided for, e.g. cardiac contractility or left ventricular ejection fraction
• CPC Class Codes: A61B 5/024 Detecting, measuring or recording pulse rate or heart rate A61B5/0205, A61B5/021 take precedence
• CPC Class Codes: A61B 5/02438 with portable devices, e.g. worn by the patient
• CPC Class Codes: A61B 5/4836 Diagnosis combined with treatment in closed-loop systems or methods A61B5/0036 takes precedence
• CPC Class Codes: A61B 5/6847 mounted on an invasive device
• 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 7/00 Instruments for auscultation
• CPC Class Codes: A61B 7/006 Detecting skeletal, cartilage or muscle noise A61B7/003 and A61B7/008 take precedence
• CPC Class Codes: A61B 7/04 Electric stethoscopes microphones, acoustic transducers therefor H04R
• CPC Class Codes: A61N 1/36514 controlled by a physiological quantity other than heart potential, e.g. blood pressure controlled by two or more physical parameters A61N1/36585
• CPC Class Codes: A61N 1/37 Monitoring; Protecting
• CPC Class Codes: A61N 1/3987 characterised by the timing or triggering of the shock

Abstract

A cardiac rhythm management system provides for the trending of a third heart sound (S3) index. The S3 index is a ratio, or an estimate of the ratio, of the number of S3 beats to the number of all heart heats, where the S3 beats are each a heart beat during which an occurrence of S3 is detected. An implantable sensor such as an accelerometer or a microphone senses an acoustic signal indicative heart sounds including S3. An S3 detector detects occurrences of S3 from the acoustic signal. A heart sound processing system trends the S3 index on a periodic basis to allow continuous monitoring of the S3 activity level, which is indicative of conditions related to heart failure.

Claims

1. An implantable cardiac rhythm management system, comprising:

a cardiac sensing circuit configured to sense at least one electrogram;

a cardiac event detector coupled to the cardiac sensing circuit and configured to produce a cardiac signal indicative of heart beats using the at least one electrogram;

an acoustic sensor configured to sense an acoustic signal indicative of third heart sounds (S3);

a sensor processing circuit coupled to the acoustic sensor and configured to precondition the sensed acoustic signal;

a heart sound processor coupled to the cardiac event detector and the sensor processing circuit, the heart sound processor including;

a beat counter configured to count the heart beats using the cardiac signal;

a heart sound detector configured to detect S3 using the preconditioned acoustic signal;

a heart sound counter configured to count S3 beats each being a heart beat during which one of S3 is detected; and

a heart sound analyzer including a ratio calculator to calculate an S3 index being a ratio of a number of the S3 beats counted during a predetermined time period to the number of the heart beats counted during the predetermined time period; and

a hermetically sealed can housing at least the cardiac sensing circuit, the cardiac event detector, the sensor processing circuit, and the heart sound processor.

2. The system of claim 1, wherein the heart sound processor further comprises a measurement timer configured to time predetermined measurement sessions and predetermined measurement periods each including a plurality of the predetermined measurement sessions, the ratio calculator is configured to calculate an S3 session ratio being a ratio of a number of the S3 beats counted during one of the predetermined measurement sessions to the number of the heart beats counted during that one of the predetermined measurement sessions, and the heart sound analyzer further comprises an averaging module configured to calculate an average of the S3 session ratios for one of the predetermined measurement periods.

3. The system of claim 2, wherein the heart sound analyzer further comprises a trend generator adapted to generate a trend of the S3 index as a moving average of the S3 session ratios over the predetermined measurement periods.

4. The system of claim 1, wherein the heart sound detector is configured to improve a signal-to-noise ratio of the acoustic signal by ensemble averaging.

5. The system of claim 1, wherein the cardiac signal is indicative of ventricular events, the acoustic signal is further indicative of first heart sounds (S1) and second heart sounds (S2), and the heart sound detector comprises:

an S2 window generator to generate an S2 window after a first predetermined delay starting with each of the ventricular events;

an S2 detector to detect S2 using an S2 threshold during the S2 windows;

an S3 window generator, coupled to the S2 detector, to generate an S3 window after a second predetermined delay starting with each of the detected S2; and

an S3 detector to detect S3 using an S3 threshold during the S3 windows.

6. The system of claim 5, wherein the heart sound detector further comprises:

a measurement module to detect an acoustic energy using the acoustic signal; and

an S3 threshold generator adapted to determine the S3 threshold based on the acoustic energy.

7. The system of claim 5, wherein the heart sound detector further comprises an S3 threshold generator configured to dynamically adjust the S3 threshold based on an estimated background sound level (μ

_B) measured during a predetermined period between an occurrence of S1 and an adjacent occurrence of S2.

8. The system of claim 7, wherein the S3 threshold generator comprises an S3 threshold calculator configured to calculate the S3 threshold as μ

_B*K, where K is an adjustable multiplier.

9. The system of claim 1, wherein the hermetically sealed can further houses the acoustic sensor.

10. The system of claim 9, wherein the implantable acoustic sensor comprises an implantable accelerometer.

11. A method for analyzing heart sounds, comprising:

sensing at least one electrogram;

producing a cardiac signal indicative of heart beats using the at least one electrogram;

sensing an acoustic signal indicative of third heart sounds (S3) using an implantable acoustic sensor;

preconditioning the sensed acoustic signal;

processing the cardiac signal and the acoustic signal using an implantable medical device, the processing including;

counting the heart beats using the cardiac signal;

detecting S3 using the preconditioned acoustic signal;

counting S3 beats each being a heart beat during which one of S3 is detected; and

calculating an S3 index being a ratio of a number of the S3 beats counted during a predetermined time period to the number of the heart beats counted during the predetermined time period.

12. The method of claim 11, wherein the processing further comprises timing predetermined measurement sessions and predetermined measurement periods each including a plurality of the predetermined measurement sessions, calculating an S3 session ratio being a ratio of a number of the S3 beats counted during one of the predetermined measurement sessions to the number of the heart beats counted during that one of the predetermined measurement sessions, and calculating an average of the S3 session ratios for one of the predetermined measurement periods.

13. The method of claim 12, wherein the processing further comprises generating a trend of the S3 index as a moving average of the S3 session ratios over the predetermined measurement periods.

14. The method of claim 11, wherein the processing further comprises improving a signal-to-noise ratio of the acoustic signal by ensemble averaging, and wherein detecting S3 comprises detecting S3 using the ensemble averaged acoustic signal.

15. The method of claim 14, wherein the cardiac signal is indicative of ventricular events, and the ensemble averaging comprises aligning segments of the acoustic signal using the ventricular events.

16. The method of claim 14, wherein the acoustic signal is further indicative of second heart sounds (S2), and wherein the ensemble averaging comprises aligning segments of the acoustic signal using occurrences of the S2 detection.

17. The method of claim 11, wherein the cardiac signal is indicative of ventricular events, the acoustic signal is further indicative of first heart sounds (S1) and second heart sounds (S2), and detecting S3 comprises:

generating an S2 window after a first predetermined delay starting with each of the ventricular events;

detecting S2 using an S2 threshold during the S2 windows;

generating an S3 window after a second predetermined delay starting with each of the detected S2; and

detecting S3 using an S3 threshold during the S3 windows.

18. The method of claim 17, wherein detecting S3 further comprises:

detecting an acoustic energy using the acoustic signal; and

determining the S3 threshold based on the acoustic energy.

19. The method of claim 17, wherein detecting S3 further comprises dynamically adjusting the S3 threshold based on an estimated background sound level (μ

_B) measured during a predetermined period between an occurrence of S1 and an adjacent occurrence of S2.

20. The method of claim 19, wherein dynamically adjusting the S3 threshold comprises calculating the S3 threshold as μ

_B*K, where K is an adjustable multiplier.