System and method for generating a trend parameter based on respiration rate distribution

Patent metadata

Field	Value
Publication number	US-2016150996-A9
Application number	US-201313763941-A
Country	US
Kind code	A9
Filing date	Feb 11, 2013
Priority date	Sep 16, 2005
Publication date	Jun 2, 2016
Grant date	—

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.

First claim

What is claimed is:

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.

Assignees

• Cardiac Pacemakers Inc

Inventors

• Averina Viktoria
• Zhang Yi
• Dalal Yousufali

Classifications

• A61B5/0803 Primary

  Recording apparatus specially adapted therefor · CPC title

• A61B5/053

  Measuring electrical impedance or conductance of a portion of the body · CPC title

• A61N1/3627

  for treating a mechanical deficiency of the heart, e.g. congestive heart failure or cardiomyopathy · CPC title

• A61B5/0205

  Simultaneously evaluating both cardiovascular conditions and different types of body conditions, e.g. heart and respiratory condition · CPC title

• C07C17/361 Primary

  by reactions involving a decrease in the number of carbon atoms · CPC title