SYSTEM AND METHOD FOR GENERATING A TREND PARAMETER BASED ON RESPIRATION RATE DISTRIBUTION

• US 20160150996A9
• Filed: 02/11/2013
• Published: 06/02/2016
• Est. Priority Date: 09/16/2005
• Status: Active Grant

• Current Assignee: Cardiac Pacemakers Incorporated (Boston Scientific Corporation)
• Original Assignee: Cardiac Pacemakers Incorporated (Boston Scientific Corporation)
• Inventors: Averina, Viktoria, Zhang, Yi, Dalal, Yousufali
• Granted Patent: US 11,350,848 B2
• Time in Patent Office: Days
• CPC Class Codes: A61B 2562/0219 Inertial sensors, e.g. accelerometers, gyroscopes, tilt switches
• 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 5/053 Measuring electrical impedance or conductance of a portion of the body
• CPC Class Codes: A61B 5/08 Detecting, measuring or recording devices for evaluating the respiratory organs A61B5/0205 takes precedence
• CPC Class Codes: A61B 5/0803 Recording apparatus specially adapted therefor
• CPC Class Codes: A61B 5/0816 Measuring devices for examining respiratory frequency measuring frequency of electric signals G01R23/00
• CPC Class Codes: A61B 5/411 Detecting or monitoring allergy or intolerance reactions to an allergenic agent or substance
• 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 1/36521 the parameter being derived from measurement of an electrical impedance
• CPC Class Codes: C07C 17/361 by reactions involving a decrease in the number of carbon atoms
• CPC Class Codes: C07C 19/16 and iodine

Abstract

Systems and methods provide for assessing the heart failure status of a patient and, more particularly, to generating a trend parameter based on a distribution of the patient'"'"'s respiration rate. Systems and methods provide for detecting, using an implantable device or a patient-external device, patient respiration and computing a respiration rate based on the detected patient respiration. A distribution of the respiration rate is calculated, and a trend parameter based on the respiration rate distribution is generated. The trend parameter is indicative of a patient'"'"'s heart failure status. An output signal indicative of the patient'"'"'s heart failure status may be generated based on the trend parameter.

Claims

1. A method, comprising:

detecting patient respiration using one or more sensors;

determining a plurality of respiration rates based on the detected patient respiration;

calculating a distribution of the respiration rate in the time domain;

generating a trend parameter in the time domain based on the respiration rate distribution;

characterizing a heart failure status of the patient based on the trend parameter; and

storing the trend parameter in a memory.

2. The method of claim 1 further comprising outputting a signal indicative of the patient'"'"'s heart failure status.

3. The method of claim 1, further comprising:

predicting patient decompensation episodes; and

outputting a signal that is related to the predicted decompensation episodes.

4. The method of claim 1, further comprising:

determining a characteristic respiration rate;

generating the trend parameter in the time domain based on the respiration rate distribution and the characteristic respiration rate.

5. The method of claim 1, wherein the distribution of the respiration rate is calculated in the time domain using a standard deviation calculation.

6. The method of claim 1, wherein the distribution of the respiration rate is calculated in the time domain using an inter-segment range calculation.

7. The method of claim 1, further comprising:

generating a Rapid Shallow Breathing (RSB) trend parameter based on the respiration rate distribution;

predicting patient decompensation episodes using the RSB trend parameter; and

outputting a signal that is related to the predicted decompensation episodes.

8. The method of claim 1, further comprising:

determining a patient'"'"'s rapid shallow breathing (RSB) burden based on the respiration rate distribution; and

outputting a signal indicative of the patient'"'"'s heart failure status based on the patient'"'"'s RSB burden.

9. The method of claim 1, further comprising providing an alert when the heart failure status of the patient is indicative of a worsening of the patient'"'"'s heart failure status.

10. A method, comprising:

detecting respiration of a patient over a period of time of one day or more using one or more sensors;

computing a plurality of respiration rates over the period of time based on the detected patient respiration;

calculating a distribution of the respiration rates based on the plurality of respiration rates, wherein the distribution is calculated using one or more of a standard deviation calculation and an inter-segment range calculation;

generating a Rapid Shallow Breathing (RSB) trend parameter based on the respiration rate distribution;

predicting patient decompensation episodes using the RSB trend parameter; and

outputting a signal that is related to the predicted decompensation episodes.

11. The method of claim 10, further comprising:

determining a patient'"'"'s rapid shallow breathing (RSB) burden based on the respiration rate distribution; and

outputting a signal indicative of a patient'"'"'s heart failure status based on the patient'"'"'s RSB burden.

12. The method of claim 11, wherein determining the patient'"'"'s RSB burden comprises computing a percentage of time that the patient experiences rapid shallow breathing.

13. The method of claim 10, further comprising discriminating between a stable heart failure status and a decompensated heart failure status of the patient using the RSB trend parameter.

14. The method of claim 13, further comprising generating an alert based on the output indicative of a worsening of the patient'"'"'s heart failure status.

15. The method of claim 10, wherein detecting respiration of the patient is performed using one or more sensors of an implantable device.

16. The method of claim 10, further comprising titrating a patient therapy using the RSB trend parameter.

17. A system, comprising:

a medical device coupled to sensing circuitry;

detection circuitry coupled to the sensing circuitry, the detection circuitry configured to detect at least one respiratory parameter of a patient;

a memory;

a processor coupled to the detection circuitry, the processor configured to compute a plurality of respiration rates based on the detected patient respiratory parameter, calculate a distribution of the respiration rate in the time domain, generate a trend parameter in the time domain based on the respiration rate distribution, characterize a heart failure status of the patient based on the trend parameter, and store the trend parameter in the memory.

18. The system of claim 17, further comprising an output in communication with the processor for outputting a signal indicative of the patient'"'"'s heart failure status.

19. The system of claim 17, wherein the processor is further configured to determine a characteristic respiration rate, and generate the trend parameter in the time domain based on the respiration rate distribution and the characteristic respiration rate.

20. The system of claim 17, wherein the medical device comprises a patient implantable medical device.