Detection of worsening heart failure events using heart sounds

• US 10,085,696 B2
• Filed: 10/05/2016
• Issued: 10/02/2018
• Est. Priority Date: 10/08/2015
• Status: Active Grant

• Current Assignee: Cardiac Pacemakers Incorporated (Boston Scientific Corporation)
• Original Assignee: Cardiac Pacemakers Incorporated (Boston Scientific Corporation)
• Inventors: Thakur, Pramodsingh Hirasingh, An, Qi
• Primary Examiner(s): Johnson, Nicole F
• Application Number:
  US15/286,027
• Publication Number:
  US 20170100081A1
• Time in Patent Office: 727 Days
• Field of Search: 600513, 600528
• 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 5/7275 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 5/7282 Event detection, e.g. detecting unique waveforms indicative of a medical condition A61B5/4094, A61B5/4818, A61B5/349, A61B5/0823 take precedence
• CPC Class Codes: A61B 7/04 Electric stethoscopes microphones, acoustic transducers therefor H04R
• CPC Class Codes: A61N 1/3627 for treating a mechanical deficiency of the heart, e.g. congestive heart failure or cardiomyopathy
• 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 1/37235 Aspects of the external programmer
• CPC Class Codes: A61N 1/3962 in combination with another heart therapy
• CPC Class Codes: A61N 1/39622 Pacing therapy
• CPC Class Codes: A61N 1/3987 characterised by the timing or triggering of the shock
• CPC Class Codes: H04L 67/12 specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks

Abstract

Systems and methods for detecting events indicative of worsening using heart sounds are disclosed. A system can include a signal sensor circuit to sense a heart sound (HS) signal. The system can detect at least first and different second HS components using the HS signal, and generate respective first and second HS metrics. The system can determine a trend indicator for the first or second HS metric, and selectively generate one or more composite HS metrics using the first and second HS metrics, according to the trend indicator indicating a growing or decay trend. The system can include a heart failure (HF) event detector to produce a HF status using the composite HS metrics, and output an indication of the HF status, or deliver therapy according to the HF status.

Claims

1. A system, comprising:

a signal sensor circuit, including a sense amplifier circuit to sense a heart sound (HS) signal from a patient;

a memory circuit;

a HS component detector circuit, coupled to the signal sensor circuit and the memory circuit to detect at least first and different second HS components from the received HS signal;

a HS metric generator circuit, coupled to the HS component detector circuit to use the detected first and second HS components to respectively generate first and second HS metrics stored in the memory circuit;

a blending circuit, coupled to the memory circuit or the HS metric generator circuit to generate one or more composite HS metrics using a ratio of the second HS metric to the first HS metric or a product of the first and second HS metrics;

a heart failure (HF) event detector circuit, including a comparator circuit coupled to the blending circuit to detect a worsening HF status using a combination of (1) at least one of the first or second HS metric and (2) at least one of the one or more composite HS metrics; and

an output circuit configured to output an indication of the worsening HF status.

2. The system of claim 1, further comprising a trending circuit coupled to the HS metric generator circuit, the trending circuit configured to determine a trend indicator stored in the memory circuit, the trend indicator indicating a temporal pattern of at least one of the first or second HS metric,

wherein the blending circuit is configured to selectively generate the one or more composite HS metrics according to the trend indicator.

3. The system of claim 2, wherein the blending circuit is configured to selectively generate the one or more composite HS metrics including a first composite HS metric when the trend indicator indicates a first trend, or a different second composite HS metric when the trend indicator indicates a different second trend.

4. The system of claim 3, wherein:

the HS component detector circuit is configured to detect the first HS component including a S1 or S2 heart sound, and the second HS component including a S3 or S4 heart sound; and

the HS metric generator circuit is configured to generate the first HS metric indicative of intensity of the detected S1 or S2 heart sound, and the second HS metric indicative of intensity of the detected S3 or S4 heart sound.

5. The system of claim 4, wherein the HS metric generator circuit is configured to generate the first HS metric including an amplitude of S1 heart sound, and the second HS metric including an amplitude of S3 or S4 heart sound.

6. The system of claim 4, wherein:

the trending circuit is configured to determine the trend indicator including a S1 intensity trend indicating a decay trend or a growth trend of the S1 intensity over a specified period of time; and

the blending circuit is configure to selectively generate;

the first composite HS metric that is proportional to a ratio of the intensity of S3 or S4 heart sound to the intensity of S1 heart sound if the trend indicator indicates a decay trend of the intensity of S1 heart sound;

or the second composite HS metric that is proportional to a product of the intensity of S3 or S4 heart sound and the intensity of S1 heart sound if the trend indicator indicates a growth trend of the intensity of S1 heart sound.

7. The system of claim 4, wherein:

the trending circuit is configured to determine the trend indicator including a covariation temporal pattern between the intensity of S1 heart sound and the intensity of the S3 or S4 heart sound over a specified period of time; and

the blending circuit is configure to selectively generate;

the first composite HS metric that is proportional to a ratio of the intensity of S3 or S4 heart sound to the intensity of S1 heart sound if the trend indicator indicates a growth trend of S3 or S4 intensity concurrent with a decay trend of S1 intensity;

or the second composite HS metric that is proportional to a product of the intensity of S3 or S4 heart sound and the intensity of S1 heart sound if the trend indicator indicates a growth trend of S3 or S4 intensity concurrent with a growth trend of S1 intensity.

8. The system of claim 1, further comprising a classifier circuit configured to classify the detected worsening HF status into one of a first category of HF with cardiac contractility compensation (CCC), or a second category of HF without CCC.

9. The system of claim 8, wherein:

the HS metric generator circuit is configured to generate the first HS metric including a S1 intensity; and

the classifier circuit is configured to classify the detected worsening HF status into the first category of HF with CCC if the S1 intensity satisfies a first criterion, or to classify the detected worsening HF status into the second category of HF without CCC if the S1 intensity satisfies a second criterion.

10. The system of claim 8, wherein:

the HS metric generator circuit is configured to generate the composite HS metric proportional to a ratio of the intensity of S3 or S4 heart sound to the intensity of S1 heart sound, or proportional to a product of the intensity of S3 or S4 heart sound and the intensity of S1 heart sound; and

the classifier circuit is configured to classify the detected worsening HF status into the first category of HF with CCC if the composite HS metric satisfies a first criterion, or to classify the detected worsening HF status into the second category of HF without CCC if the composite HS metric satisfies a second criterion.

11. The system of claim 1, wherein the signal sensor circuit is further configured to receive a physiological signal sensed from the patient, the physiological signal different from the HS signal and indicative of cardiac contractility.

12. The system of claim 1, further comprising a therapy circuit configured to deliver a therapy to the patient in response to the worsening HF status satisfying at least one condition.

13. The system of claim 12, wherein the therapy circuit is configured to deliver a first therapy in response to a detection of HF with cardiac contractility compensation (CCC), or deliver a second therapy in response to a detection of HF without CCC, the second therapy being more aggressive than the first therapy.

14. A method, comprising:

sensing a heart sound (HS) signal from a patient using a HS sensor;

detecting at least a first and a different second HS components from the sensed HS signal;

generating first and second HS metrics respectively from the detected first and second HS components;

generating one or more composite HS metrics using a ratio of the second HS metric to the first HS metric or a product of the first and second HS metrics;

detecting a worsening HF status using a combination of (1) at least one of the first or second HS metric and (2) at least one of the one or more composite HS metrics; and

outputting an indication of the detected worsening HF status.

15. The method of claim 14, further comprising determining a trend indicator indicating a temporal pattern of at least one of the first or second HS metric,

wherein generating the one or more composite HS metrics includes:

generating a first composite HS metric when the trend indicator indicates a first trend;

or

generating a different second composite HS metric when the trend indicator indicates a different second trend.

16. The method of claim 15, wherein:

detecting the first HS component includes detecting a S1 heart sound, and detecting the second HS component including detecting a S3 or S4 heart sound; and

generating the first HS metric includes generating an intensity metric of the detected S1 heart sound, and generating the second HS metric includes generating an intensity metric of the detected S3 or S4 heart sound.

17. The method of claim 16, wherein:

determining the trend indicator includes determining a S1 intensity trend indicating a temporal pattern of the intensity of S1 heart sound over a specified period of time; and

generating the one or more composite HS metrics includes;

generating the first composite HS metric that is proportional to a ratio of the intensity of S3 or S4 heart sound to the intensity of S1 heart sound, when the trend indicator indicates a decay trend of the intensity of S1 heart sound;

or

generating the second composite HS metric that is proportional to a product of the intensity of S3 or S4 heart sound and the intensity of S1 heart sound, when the trend indicator indicates a growth trend of the intensity of S1 heart sound.

18. The method of claim 16, wherein:

determining the trend indicator includes determining a covariation temporal pattern between the intensity of S1 heart sound and the intensity of the S3 or S4 heart sound over a specified period of time; and

generating the one or more composite HS metrics includes;

generating the first composite HS metric that is proportional to a ratio of the intensity of S3 or S4 heart sound to the intensity of S1 heart sound, when the trend indicator indicates a growth trend of S3 or S4 intensity concurrent with a decay trend of S1 intensity;

or

generating the second composite HS metric that is proportional to a product of the intensity of S3 or S4 heart sound and the intensity of S1 heart sound, when the trend indicator indicates a growth trend of S3 or S4 intensity concurrent with a growth trend of S1 intensity.

19. The method of claim 14, further comprising:

classifying the detected worsening HF status into a first category of HF with cardiac contractility compensation (CCC) if a HS metric satisfies a first criterion;

or

classifying the detected worsening HF status into a second category of HF without CCC if the HS metric satisfies a second criterion.

20. The method of claim 19, wherein classifying the detected worsening HF status includes:

classifying the detected worsening HF status into the first category of HF with CCC if the S1 intensity has a growth trend over time;

or

classifying the detected worsening HF status into the second category of HF without CCC if the S1 intensity has a decay trend over time.