Granted Patent B2

US 12,226,225 · App. 17/385,665 · Granted Feb 18, 2025

Inventors: Elizabeth Mary Annoni (White Bear Lake, MN); Jianwen Gu (Valencia, CA); Pramodsingh Hirasingh Thakur (Woodbury, MN); Bryan Allen Clark (Forest Lake, MN); Kyle Harish Srivastava (Saint Paul, MN)

Assignee: Boston Scientific Neuromodulation Corporation

A61B5/4824A61B5/4836A61B5/4884A61B5/7246A61N1/0534A61N1/0551A61N1/36062A61N1/36071A61N1/36139A61N1/37211A61N1/37247A61N1/37264A61B2560/0223

Abstract

Claims (46)

1. A system, comprising:

a sensor circuit coupled to one or more sensors configured to sense from a patient a plurality of physiological or functional signals;

a controller circuit configured to:

calculate a pain score using a fusion model that algorithmically combines the sensed plurality of physiological or functional signals using a weighted combination or a neural network;

receive a user input via a user interface about pain perception of the patient; and

adjust the fusion model by updating a parameter value or a structure of the fusion model based at least in part on the received user input, and calibrate the pain score using the adjusted fusion model; and

an output unit configured to provide the calibrated pain score to a user or a process.

2. The system of claim 1 , wherein the controller circuit is configured to:

calculate the pain score using a combination of signal metrics of the sensed plurality of physiological or functional signals each weighted by respective weight factors; and

calibrate the pain score by updating one or more of the weight factors based on the received user input.

3. The system of claim 2 , wherein:

the user input about pain perception includes a plurality of pain scales; and

updating the one or more weight factors is proportional to correlations between (i) values of respective signal metrics corresponding to the plurality of pain scales and (ii) the plurality of pain scales.

4. The system of claim 2 , wherein:

the user input includes a pain perception curve; and

updating the one or more weight factors is proportional to an alignment between (i) the pain perception curve and (ii) psychometric curves each representing values of a signal metric at respective pain scales.

5. The system of claim 1 , comprising:

a pain management device that includes the sensor circuit and the controller circuit; and

a mobile device operably in communication with the pain management device, the mobile device including the user interface to receive the user input about pain perception.

6. The system of claim 1 , wherein the user input further includes a context of the pain perception including a physical state or activity of the patient.

7. The system of claim 1 , comprising a therapy unit configured to provide or adjust a neuromodulation therapy or a drug therapy in accordance with the calibrated pain score.

8. The system of claim 1 , wherein the output unit is configured to generate a recommendation to the user to initiate or adjust a pain therapy based on the calibrated pain score.

9. The system of claim 1 , wherein the output unit is configured to generate an alert of an adverse event or a therapy effect based on the calibrated pain score.

10. A system comprising:

a sensor circuit coupled to one or more sensors configured to sense a plurality of physiological or functional signals from a patient; and

a controller circuit, configured to, in response to a treatment provided to the patient;

quantify a patient response to the treatment using a fusion model that algorithmically combines the sensed plurality of physiological or functional signals using a weighted combination or a neural network;

receive a user feedback on the treatment;

adjust the fusion model by updating a parameter value or a structure of the fusion model based at least in part on the received user feedback, and calibrating the quantified patient response using the adjusted fusion model; and

generate a control signal to adjust the treatment based on the calibrated quantified patient response.

11. The system of claim 10 , wherein the treatment includes a pain therapy, and the user feedback includes a pain perception and a context thereof including a physical state or activity of the patient.

12. The system of claim 10 , wherein the treatment includes a neuromodulation therapy or a drug therapy, and wherein to adjust the treatment includes to adjust a neuromodulation parameter or a drug dosage in accordance with the calibrated quantified patient response.

13. The system of claim 10 , comprising an output unit configured to generate a recommendation to a user to adjust the treatment based on the calibrated quantified patient response.

14. A method comprising:

sensing a plurality of physiological or functional signals from a patient using one or more sensors;

calculating, via a controller circuit, a pain score using a fusion model that algorithmically combines the sensed plurality of physiological or functional signals using a weighted combination or a neural network;

via the controller circuit, adjusting the fusion model by updating a parameter value or a structure of the fusion model based at least in part on a user input about pain perception of the patient provided via a user interface, and calibrating the pain score using the adjusted fusion model; and

outputting the calibrated pain score to a user or a process.

15. The method of claim 14 , wherein:

calculating the pain score is by using a combination of signal metrics of the sensed plurality of physiological or functional signals each weighted with respective weight factors; and

calibrating the pain score includes updating one or more of the weight factors based on the user input.

16. The method of claim 15 , wherein the user input about pain perception includes a plurality of pain scales, and updating the one or more weight factors is proportional to correlations between (i) values of respective signal metrics corresponding to the plurality of pain scales and (ii) the plurality of pain scales.

17. The method of claim 15 , wherein the user input includes a pain perception curve, and updating the one or more weight factors is proportional to an alignment between (i) the pain perception curve and (ii) psychometric curves each representing values of a signal metric at respective pain scales.

18. The method of claim 14 , wherein the user input includes a patient feedback to a pain therapy.

19. The method of claim 14 , further comprising generating a recommendation to the user to initiate or adjust a pain therapy.

20. The method of claim 14 , further comprising adjusting, via the controller circuit, a neuromodulation parameter or a drug dosage in accordance with the calibrated pain score.

Continuity (3)

References Cited (400)