SENSITIVITY ANALYSIS FOR SELECTING THERAPY PARAMETER SETS

• US 20090030263A1
• Filed: 10/09/2008
• Published: 01/29/2009
• Est. Priority Date: 03/16/2004
• Status: Abandoned Application

• Current Assignee: Medtronic Incorporated (Medtronic Plc)
• Original Assignee: Medtronic Incorporated (Medtronic Plc)
• Inventors: Heruth, Kenneth T., Miesel, Keith A.
• Application Number:
  US12/248,622
• Publication Number:
  US 20090030263A1
• Time in Patent Office: Days
• US Class Current: 600/26
• CPC Class Codes: A61B 3/113 for determining or recording eye movement
• CPC Class Codes: A61B 5/0031 Implanted circuitry
• 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 5/0215 by means inserted into the body catheters A61M25/00
• CPC Class Codes: A61B 5/11 Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb for measuring pulse A61B5/02 ;A61B5/1038 takes precedence; motion detection to correct for motion artifacts in physiological signals A61B5/721
• CPC Class Codes: A61B 5/1459 invasive, e.g. introduced into the body by a catheter A61B5/1464 takes precedence
• CPC Class Codes: A61B 5/283 Invasive
• CPC Class Codes: A61B 5/293 Invasive
• CPC Class Codes: A61B 5/389 Electromyography [EMG]
• CPC Class Codes: A61B 5/4815 Sleep quality
• CPC Class Codes: A61B 5/4824 Touch or pain perception evaluation A61B5/4821 takes precedence
• CPC Class Codes: A61B 5/4839 combined with drug delivery
• CPC Class Codes: A61B 8/06 Measuring blood flow measuring volume flow in general G01F, e.g. G01F1/66, G01F1/72; measuring speed of fluids in general G01P5/00
• CPC Class Codes: A61B 8/12 in body cavities or body tracts, e.g. by using catheters catheters per se A61M25/00
• CPC Class Codes: A61M 2230/06 Heartbeat rate only
• CPC Class Codes: A61M 2230/63 Motion, e.g. physical activity
• CPC Class Codes: A61M 5/14276 specially adapted for implantation
• CPC Class Codes: A61M 5/1723 using feedback of body parameters, e.g. blood-sugar, pressure measurement of body parameters A61B5/00
• CPC Class Codes: A61N 1/36071 Pain
• CPC Class Codes: A61N 1/36135 using physiological parameters
• CPC Class Codes: A61N 1/3614 : based on impedance measurement
• CPC Class Codes: A61N 1/36146 : specified by the stimulation parameters
• CPC Class Codes: A61N 1/36521 : the parameter being derived from measurement of an electrical impedance
• CPC Class Codes: A61N 1/36542 : controlled by body motion, e.g. acceleration
• CPC Class Codes: A61N 1/36557 : controlled by chemical substances in blood
• CPC Class Codes: A61N 1/37241 : providing test stimulations
• CPC Class Codes: G16H 20/40 : relating to mechanical, radiation or invasive therapies, e.g. surgery, laser therapy, dialysis or acupuncture
• CPC Class Codes: G16H 40/63 : for local operation

Abstract

Techniques for controlling delivery of a therapy to a patient by a medical device, such as an implantable medical device (IMD), involve a sensitivity analysis of a performance metric. The performance metric may relate to efficacy or side effects of the therapy. For example, the performance metric may comprise a sleep quality metric, an activity level metric, a movement disorder metric for patients with Parkinson'"'"'s disease, or the like. The sensitivity analysis identifies values of therapy parameters that defines a substantially maximum or minimum value of the performance metric. The identified therapy parameters are a baseline therapy parameter set, and a medical device may control delivery of the therapy based on the baseline therapy parameter set.

Claims

1. A computer-readable medium comprising instructions that cause a programmable processor to:

monitor a value of a performance metric of a patient for each of a plurality of therapy parameter sets, wherein a medical device delivers a therapy to the patient according to each of the therapy parameter sets, each of the therapy parameter sets includes a value for each of a plurality of therapy parameters, and the performance metric comprises a sleep quality metric;

conduct a sensitivity analysis of the performance metric for each of the plurality of therapy parameters based on the monitored values of the performance metric; and

identify a baseline value for each of the plurality of therapy parameters based on the sensitivity analysis to form a baseline therapy parameter set.

2. The medium of claim 1, further comprising instructions that cause the processor to receive a range for at least one therapy parameter in the therapy parameter sets and generate the plurality of therapy parameter sets with different values of the therapy parameter distributed over the range.

3. The medium of claim 1, further comprising instructions that cause the processor to perturb at least one therapy parameter value of a baseline therapy parameter set that includes the identified therapy parameter values, monitor a perturbed value of the performance metric in response to the perturbed therapy parameter value, compare the perturbed value of the performance metric to the value of the performance metric for the baseline therapy parameter set and adjust the baseline therapy parameter set based on the comparison.

4. The medium of claim 1, wherein the performance metric comprises a patient feedback metric.

5. A system comprising:

a therapy device that delivers a therapy to a patient according to each of a plurality of therapy parameter sets, each of the therapy parameter sets including a value for each of a plurality of therapy parameters;

a monitor that monitors values of at least one physiological parameter of a patient during delivery of therapy according to each of the plurality of therapy parameter sets; and

a computing device that receives the physiological parameter values from the monitor, identifies a value of a performance metric of the patient for each of the plurality of parameter sets based on the physiological parameter values monitored during delivery of therapy according to each of the plurality of therapy parameter sets, conducts a sensitivity analysis of the performance metric for each of the plurality of therapy parameters based on the monitored values of the performance metric, and identifies a baseline value for each of the therapy parameters based on the sensitivity analysis to form a baseline therapy parameter set.

6. The system of claim 5, wherein one of the therapy device and the computing device comprises the monitor.

7. The system of claim 5, wherein the computing device comprises a programming device.

8. The system of claim 5, wherein the computing device receives a range for at least one therapy parameter in the therapy parameter sets and generates the plurality of therapy parameter sets with different values of the therapy parameter distributed over the range.

9. The system of claim 5, wherein the computing device conducts the sensitivity analysis to determine a value for at least one therapy parameter corresponding to one of a maximum value and a minimum value of the performance metric.

10. The system of claim 5, wherein one of the therapy device or another therapy device receives a baseline therapy parameter set that includes the identified baseline therapy parameter values from the computing device, and delivers the therapy to the patient according to the baseline therapy parameter set.

11. The system of claim 10, wherein the computing device directs the therapy device or the other therapy device to perturb at least one therapy parameter value of the baseline therapy parameter set and monitors a perturbed value of the performance metric in response to the perturbed therapy parameter value.

12. The system of claim 11, wherein the computing device compares the perturbed value of the performance metric to the value of the performance metric for the baseline therapy parameter set and updates the baseline therapy parameter set based on the comparison, and one of the therapy device or the other therapy device receives the updated baseline therapy parameter set from the computing device to adjust the therapy based on the updated baseline therapy parameter set.

13. The system, of claim 5, wherein the performance metric comprises a patient feedback metric.

14. The system of claim 5, wherein the therapy device comprises an implantable medical device.

15. The system of claim 5, wherein the therapy device comprises at least one of a neurostimulator or a pump.

16. The system of claim 5, wherein the therapy device comprises at least one of a trial neurostimulator or a trial pump.