Methods and apparatus for monitoring physiological responses to steady state activity

• US 20070021678A1
• Filed: 07/19/2005
• Published: 01/25/2007
• Est. Priority Date: 07/19/2005
• Status: Abandoned Application

• Current Assignee: Cardiac Pacemakers Incorporated (Boston Scientific Corporation)
• Original Assignee: Cardiac Pacemakers Incorporated (Boston Scientific Corporation)
• Inventors: Baker, Lemont, Hopper, Donald, Beck, Kenneth
• Application Number:
  US11/184,327
• Publication Number:
  US 20070021678A1
• Time in Patent Office: Days
• US Class Current: 600/510
• CPC Class Codes: A61B 2560/0468 Built-in electrodes
• CPC Class Codes: A61B 2562/0219 Inertial sensors, e.g. accelerometers, gyroscopes, tilt switches
• CPC Class Codes: A61B 5/0215 by means inserted into the body catheters A61M25/00
• CPC Class Codes: A61B 5/0245 by using sensing means generating electric signals, i.e. ECG signals
• CPC Class Codes: A61B 5/029 Measuring or recording blood output from the heart, e.g. minute volume A61B8/065 takes precedence
• CPC Class Codes: A61B 5/0816 Measuring devices for examining respiratory frequency measuring frequency of electric signals G01R23/00
• CPC Class Codes: A61B 5/1116 Determining posture transitions
• CPC Class Codes: A61B 5/145 Measuring characteristics of blood in vivo, e.g. gas concentration, pH value; Measuring characteristics of body fluids or tissues, e.g. interstitial fluid, cerebral tissuemeasuring of blood pressure or blood flow A61B5/02; non-radiation detecting or locating of foreign bodies in blood A61B5/06
• CPC Class Codes: A61B 5/686 Permanently implanted devices, e.g. pacemakers, other stimulators, biochips A61B5/6861 takes precedence
• CPC Class Codes: A61N 1/36585 controlled by two or more physical parameters
• CPC Class Codes: A61N 1/37 Monitoring; Protecting

Abstract

This document discusses, among other things, methods of monitoring physiological responses to steady state activity. In an example, a physical activity signal is detected from a human or animal subject using an implantable medical device. A different, other physiological signal is also detected from the subject using the implantable medical device. The physical activity signal is processed to define first and second time periods associated with first and second steady-state physical activity levels of the subject. A first indicator is obtained by combining data from the other physiological signal obtained during the first time period. A second indicator is obtained by combining data from the other physiological signal obtained during the second time period. The first and second indicators are used provide a diagnostic indicator.

Claims

1. A machine-assisted method comprising:

detecting a physical activity signal, using an implantable medical device, from a human or animal subject;

detecting a different other physiological signal, from the subject, using the implantable medical device;

processing the physical activity signal to define a first time period associated with a first steady-state physical activity level of the subject, including identifying for the first time period a first beginning time at which the physical activity of the subject is deemed to be at steady state at the first steady-state physical activity level, and a first ending time at which the subject leaves the first steady-state physical activity level;

obtaining a first indicator by combining data from the other physiological signal obtained during the first time period;

processing the physical activity signal to define a second time period associated with a second steady-state physical activity level of the subject, including identifying for the second time period a second beginning time at which the physical activity of the subject is deemed to be at steady state at the second steady-state physical activity level, and a second ending time at which the subject leaves the second steady-state physical activity level;

obtaining a second indicator by combining data from the other physiological signal obtained during the second time period; and

using the first and second indicators to provide a diagnostic indicator.

2. The method of claim 1, wherein the first steady state physical activity level corresponds to a bin associated with a range of activity levels.

3. The method of claim 2, in which the second steady-state physical activity level corresponds to a different activity bin than the first steady-state physical activity level.

4. The method of claim 2, in which the second steady-stated physical activity level corresponds to the same activity bin as the first steady-state physical activity level.

5. The method of claim 4, wherein the second time period occurs after the first time period, and the obtaining a second indicator by combining data from the other physiological signal obtained during the second time period includes combining data from the other physiological signal obtained during the second time period with data from the other physiological signal obtained during the first time period.

6. The method of claim 5, further comprising processing the physical activity signal to define a third time period associated with a third steady-state physical activity level of the subject, including identifying for the third time period a third beginning time at which the physical activity of the subject is deemed to be at steady state at the third steady-state physical activity level, and a third ending time at which the subject leaves the third steady-state physical activity level, the third time period occurring between the first time period and the second time period;

and

obtaining a third indicator by combining data from the other physiological signal obtained during the third time period.

7. The method of claim 1, further comprising detecting a second other physiological signal, from the subject, using the implantable medical device, and obtaining third and fourth indicators by combining data from the second other physiological signal obtained during the respective first and second time periods, wherein using the first and second indicators to provide a diagnostic indicator includes using the first, second, third and fourth indicators.

8. The method of claim 1, wherein obtaining a first indicator by combining data from the other physiological signal obtained during the first time period includes averaging the data from the other physiological signal obtained during the first time period.

9. The method of claim 1, wherein the diagnostic indicator includes an offset, a difference, a derivative, an interpolation, or an integral.

10. The method of claim 1, wherein the diagnostic indicator provides information about a relationship between heart rate and activity.

11. The method of claim 1, wherein the diagnostic indicator provides information about a relationship between stroke volume and activity or heart rate.

12. The method of claim 1, wherein the diagnostic indicator provides information about a relationship between at least two of respiratory rate, activity, and tidal volume.

13. The method of claim 1, wherein the diagnostic indicator provides information about a relationship between an intravascular pressure or venous blood oxygen saturation and activity level or one or more other physiological parameters.

14. A machine-assisted method comprising:

detecting a physical activity signal, using an implantable medical device, from a human or animal subject, the physical activity signal falling within an activity range divided into activity bins;

contemporaneously detecting a different other physiological signal, from the subject, using the implantable medical device;

processing the physical activity signal to define a first time period associated with a first steady-state physical activity level of the subject, including identifying for the first time period a first beginning time at which the physical activity of the subject is deemed to be at steady state at the first steady-state physical activity level, and a first ending time at which the subject leaves the first steady-state physical activity level, the first steady-state physical activity level corresponding to an activity bin;

processing the physical activity signal to define a second time period associated with a second steady-state physical activity level of the subject, the second steady-state physical activity level of the subject corresponding to the same activity bin as the first steady-state physical activity level of the subject, including identifying for the second time period a second beginning time at which the physical activity of the subject is deemed to be at steady state at the second steady-state physical activity level, and a second ending time at which the subject leaves the second steady-state physical activity level;

combining data from the other physiological signal also obtained during the first and second time periods; and

using the combined data from the other physiological signal to provide a diagnostic indicator.

15. The method of claim 14, further comprising:

processing the physical activity signal to define a third time period associated with a third steady-state physical activity level of the subject, including identifying for the third time period a third beginning time at which the physical activity of the subject is deemed to be at steady state at the third steady-state physical activity level, and a third ending time at which the subject leaves the third steady-state physical activity level, the third steady-state physical activity level corresponding to an activity bin;

processing the physical activity signal to define a fourth time period associated with a fourth steady-state physical activity level of the subject, the fourth steady-state physical activity level of the subject corresponding to the same activity bin as the first steady-state physical activity level of the subject, including identifying for the fourth time period a fourth beginning time at which the physical activity of the subject is deemed to be at steady state at the fourth steady-state physical activity level, and a fourth ending time at which the subject leaves the fourth steady-state physical activity level;

combining data from the other physiological signal also obtained during the third and fourth time periods;

using the combined data from the other physiological signal obtained during the third and fourth time periods to provide a second diagnostic indicator; and

using the diagnostic indicator from the first and second time periods and the diagnostic indicator from the third and fourth time periods to monitor a physiological condition of the subject.

16. The method of claim 14, wherein combining data from the other physiological signal also obtained during the first and second time periods includes determining a first average of data obtained during the first time period, obtaining a second average of data obtained during the second time period, and combining the first average and the second average.

17. The method of claim 14, wherein using the combined data from the other physiological signal to provide a diagnostic indicator includes determining a heart rate, stroke volume, tidal volume, or respiration rate for a steady state activity level.

18. The method of claim 14, wherein using the combined data from the other physiological signal to provide a diagnostic indicator includes determining a venous blood oxygen saturation or pulmonary artery diastolic pressure for a steady state activity level.

19. A method comprising:

detecting a plurality of activity levels using an accelerometer;

determining for a candidate activity level an activity level bin value corresponding to a range of activity level values;

determining whether the candidate activity level was at steady state using bin values from activity levels detected before and after the candidate activity level;

if the candidate activity level was at steady state, adding to one or more sum registers physiological data detected contemporaneously with the candidate activity level using an implantable medical device, and incrementing one or more counters;

if the candidate activity level was not at steady state and a previous activity level was at steady state;

averaging the physiological data using the one or more sum registers and one or more counters;

aggregating the averaged physiological data with previous physiological data detected at an activity level corresponding to the same bin value; and

storing aggregated physiological data averages.

20. The method of claim 19, wherein determining whether the candidate activity level was at steady state includes:

determining whether the candidate activity level is within a first range of a previous activity level;

determining whether the candidate activity level is within a second range of a sequence of previous activity levels, the second range larger than the first range; and

determining whether activity levels are trending upward or downward using activity levels detected before and after the candidate activity level.

21. The method of claim 19, wherein determining whether the candidate activity level was at steady state includes:

determining whether the bin value for the candidate activity level is within a first range of a bin value for a previous activity level;

determining whether the bin value for the candidate activity level is within a second range of bin values for a sequence of previous activity levels, the second range larger than the first range; and

determining whether activity levels are trending upward or downward using bin values from activity levels detected before and after the candidate activity level.

22. The method of claim 21, wherein the first range is one bin and the second range is two bins.

23. The method of claim 19, further comprising using the aggregated physiological data averages to provide a diagnostic indicator.

24. The method of claim 23, wherein using the aggregated physiological data averages to provide a diagnostic indicator includes aggregating heart rate, stroke volume, tidal volume, respiratory rate, pulmonary artery diastolic pressure data, or venous blood oxygen level.

25. The method of claim 19, wherein determining whether the candidate activity level was at steady state using bin values from activity levels detected before and after the candidate activity level includes deeming the candidate activity level as not at steady state if activity levels from a specified amount of time preceding the candidate activity level are not within a specified range.