Medical device user interface automatically resolving interaction between programmable parameters

• US 7,979,378 B2
• Filed: 09/24/2009
• Issued: 07/12/2011
• Est. Priority Date: 04/27/2006
• Status: Active Grant

• Current Assignee: Cardiac Pacemakers Incorporated (Boston Scientific Corporation)
• Original Assignee: Cardiac Pacemakers Incorporated (Boston Scientific Corporation)
• Inventors: Maddali, Mahesh, West, Jeff, Tzucker, Jay A., Kalgren, James
• Primary Examiner(s): Vincent; David R
• Assistant Examiner(s): BUSS, BENJAMIN J
• Application Number:
  US12/566,212
• Publication Number:
  US 20100016996A1
• Time in Patent Office: 656 Days
• Field of Search: 706/45, 706/924, 706/48, 600/333, 439/909, 607/9, 607/119, 128/924
• US Class Current: 706/48
• CPC Class Codes: G16H 40/63 for local operation
• CPC Class Codes: G16Z 99/00 Subject matter not provided for in other main groups of this subclass
• CPC Class Codes: Y10S 128/924 using artificial intelligence
• CPC Class Codes: Y10S 439/909 Medical use or attached to human body
• CPC Class Codes: Y10S 706/924 Medical

Abstract

This document discusses, among other things, a user interface capable of resolving interactions between programmable parameters for operation of a personal medical device. Programming these devices is a difficult task when many parameters are involved. The medical device interface attempts to reduce and minimize constraint violations between interdependent parameters using an initial set of parameter values supplied by user (typically a physician) input, and constraint violations describing invalid parameter values. A user is given the option to select one or more parameters to remain constant. If possible, a set of parameter values with less egregious constraint violations is displayed to the user. A user is prompted to accept the set of parameter values and program the medical device.

Claims

1. A system for programming a multi-parameter programmable personal medical device, the system comprising:

an external programming device comprising a processor and a memory circuit configured to program the multi-parameter programmable personal medical device, the external programming device further comprising,

a constraint violation comparison module configured to compare a first set of user-programmable parameter values against a plurality of interaction constraints to produce a first violation of one of the plurality of interaction constraints; and

an interaction resolution engine configured to;

determine, from the first set of parameter values, a second set of parameter values that reduces the first violation;

minimize, while creating the second set of parameter values, a degree of any other violations of the plurality of interaction constraints; and

minimize, while creating the second set of parameter values, a weight of change between the first and second sets of parameter values, wherein minimizing the weight of change includes using weight of change calculations to classify one or more candidate second sets of parameter values with response to the first set of parameter values.

2. The system of claim 1, wherein the interaction resolution engine is configured to determine the second set of parameter values that resolves the first violation.

3. The system of claim 1, including an acceptance selector configured to receive input indicating acceptance of the second set of parameter values for programming into the personal medical device.

4. The system of claim 1, including:

a multi-parameter programmable personal medical device; and

wherein the external programmer is configured to receive a stored measurement from the multi-parameter programmable personal medical device and to determine, automatically from the stored measurement, the first set of user-programmable parameter values.

5. The system of claim 1, including a prioritizing selector configured to receive selection of a high priority parameter;

and

wherein the interaction resolution engine is configured to hold the high priority parameter constant while determining the second set of parameter values.

6. The system of claim 1, wherein the external programmer is configured to receive a selection of a target interaction constraint;

and

wherein the interaction resolution engine is configured to determine, by modifying only the first set of parameter values associated with the target interaction constraint, a second set of parameter values that reduces the first violation.

7. The system of claim 1, wherein the interaction engine is configured to calculate the weight of change between the first and second sets of parameter values by:

determining the weight of change for each parameter between the first and second parameter values by calculating the magnitude of the change for each parameter;

determining a normalized weight of change for each parameter by normalizing the weight of change determined for each parameter; and

summing the normalized weight of change for each parameter.

8. A method comprising:

comparing a first set of parameter values against a plurality of interaction constraints to produce a first violation of one of the plurality of interaction constraints; and

determining, using one or more processors, a second set of parameter values that reduces the first violation, the determining including;

minimizing a degree of any other violations of the plurality of interaction constraints; and

minimizing a weight of change between the first and second set of parameter values;

wherein the weight of change is calculated by, determining the weight of change for each parameter between the first and second parameter values by calculating the magnitude of the change for each parameter, determining a normalized weight of change for each parameter by normalizing the weight of change determined for each parameter, and summing the normalized weight of change for each parameter.

9. The method of claim 8, wherein determining the second set of parameter values includes determining a second set of parameter values that resolves the first violation.

10. The method of claim 8, including:

receiving an indication of acceptance of the second set of parameter values; and

sending the second set of parameter values to a multi-parameter programmable medical device.

11. The method of claim 8, including:

receiving a measurement from a multi-parameter programmable medical device; and

determining, using the measurement, the first set of parameter values.

12. The method of claim 8, including:

receiving a selection of a high priority parameter; and

wherein determining the second set of parameter values holds the high priority parameter constant.

13. The method of claim 8, wherein determining the second set of parameter values includes:

creating a plurality of candidate sets of parameter values; and

classifying, using a weight of change with respect to the first set of parameter values, each candidate set of parameter values.

14. The method of claim 8, including:

receiving a selection of a target interaction constraint; and

wherein determining the second set of parameter values includes modifying only parameters, of the first set of parameter values, that affect the target interaction constraint.

15. The method of claim 8, further including determining the first set of parameter values based on a measurement received from a multi-parameter programmable personal medical device.

16. A non-transitory machine-readable storage medium including instructions, which when executed on a processor cause the processor to:

compare a first set of parameter values against a plurality of interaction constraints to produce a first violation of one of the plurality of interaction constraints; and

determine a second set of parameter values that reduces the first violation, the determining including;

minimizing a degree of any other violations of the plurality of interaction constraints; and

minimizing a weight of change between the first and second set of parameter values;

wherein the weight of change is calculated by, determining the weight of change for each parameter between the first and second parameter values by calculating the magnitude of the change for each parameter, determining a normalized weight of change for each parameter by normalizing the weight of change determined for each parameter, and summing the normalized weight of change for each parameter.

17. The non-transitory machine-readable storage medium of claim 16, wherein the instructions which cause the processor to determine the second set of parameter values include further instructions which cause the processor to:

create a plurality of candidate sets of parameter values; and

classify, using a weight of change with respect to the first set of parameter values, each candidate set of parameter values.

18. The non-transitory machine-readable storage medium of claim 16, further including instructions which cause the processor to determine the first set of parameter values based on a measurement received from a multi-parameter programmable personal medical device.

19. The non-transitory machine-readable storage medium of claim 16, further including instructions which cause the processor to receive selection of a parameter value to hold constant while determining the second set of parameter values.