IP Library Granted Patent US 11,957,912
Granted Patent B2
US 11,957,912 · App. 17/884,794 · Granted Apr 16, 2024

Sensor-based pain management systems and methods

Inventors: Kyle Harish Srivastava (Saint Paul, MN); Pramodsingh Hirasingh Thakur (Woodbury, MN); Dat Thanh Huynh (West Hollywood, CA); Bryan Allen Clark (Forest Lake, MN); Jianwen Gu (Valencia, CA)
Assignee: Boston Scientific Neuromodulation Corporation
A61N1/36139A61B5/1118A61B5/6801A61N1/36071A61B5/01A61B5/02028A61B5/021A61B5/024A61B5/02416A61B5/0533A61B5/0816A61B5/1112A61B5/1116A61B5/112A61B5/1121A61B5/318A61B5/369A61B5/389A61B5/4806A61B5/4824A61B2562/0219A61B2562/0223A61B2562/0261A61N1/0529A61N1/0551A61N1/36053A61N1/36057A61N1/36062
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Quick Facts
Patent No.
US 11,957,912
App. No.
17/884,794
Granted
Apr 16, 2024
Kind
B2
Abstract

This document discusses, among other things, systems and methods for managing pain of a subject. A system includes a first sensor circuit to sense a first signal indicative of a functional state of the subject, a second sensor circuit to sense a second signal different from the first signal, and a controller circuit. The controller circuit may determine an operating mode of the second sensor circuit according to the sensed first signal, trigger the second senor circuit to sense the second signal under the determined operating mode, and generate a pain score using at least the second signal sensed under the determined operating mode. The pain score may be output to a patient or used for closed-loop control of a pain therapy.

Claims (57)

1. A system comprising:

a sensor circuit, comprising (i) a physiological sensor configured to sense a physiological signal from a patient, and (ii) a motion sensor configured to detect a physical activity pattern of the patient representing a change in physical activity over time; and

a controller circuit configured to:

determine a baseline physical activity pattern at a baseline state of the patient;

control the physiological sensor to initiate sampling of the physiological signal based on a dissimilarity between the detected physical activity pattern and the baseline physical activity pattern; and

generate a control signal to initiate or adjust a neuromodulation therapy to the patient in response to the sampled physiological signal satisfying a condition.

2. The system of claim 1 , wherein the physical activity pattern includes a decrease in activity level over time or missing of a scheduled activity at a predetermined time.

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

control the physiological sensor to adjust a sampling rate of the physiological signal based on the dissimilarity between the detected physical activity pattern and the baseline physical activity pattern; and

generate the control signal to initiate or adjust the neuromodulation therapy in response to the physiological signal sampled at the adjusted sampled rate satisfying the condition.

4. The system of claim 3 , wherein the baseline physical activity pattern corresponds to a baseline state free of pain, and wherein the controller circuit is configured to:

determine a pain score using the sampled physiological signal; and

generate the control signal to initiate or adjust the neuromodulation therapy according to the generated pain score to alleviate pain.

5. The system of claim 3 , wherein the controller circuit is configured to control the physiological sensor to increase the sampling rate for sampling the physiological signal when the determined dissimilarity exceeds a threshold.

6. The system of claim 5 , wherein the baseline physical activity pattern includes a baseline rate of change in activity level during a specific time period of day, and the detected physical activity pattern includes a detected rate of change in activity level during the specific time period of day;

wherein the controller circuit is configured to control the physiological sensor to increase the sampling rate of the physiological signal when a difference between the detected rate of change and the baseline rate of change exceeds the threshold.

7. The system of claim 3 , wherein the baseline physical activity pattern includes a scheduled activity at a predetermined time of day,

wherein the controller circuit is configured to control the physiological sensor to increase the sampling rate of the physiological signal when the determined dissimilarity indicates the scheduled activity is missing from the detected physical activity at the predetermined time of day.

8. A system comprising:

a sensor circuit coupled to a plurality of physiological sensors each having respective sensitivities to physical activity, the plurality of physiological sensors configured to sense respective physiological signals from a patient; and

a controller circuit configured to:

receive information about a physical activity level in the patient;

select, from the plurality of physiological sensors, at least one physiological sensor based on the received physical activity level, including to select a first physiological sensor to sense a first physiological signal under a first sensor operating mode when the received physical activity level is above a threshold, and to select a second physiological sensor different from the first physiological sensor to sense a second physiological signal under a second sensor operating mode when the received physical activity level is below the threshold; and

generate a control signal to initiate or adjust a neuromodulation therapy to the patient based on the physiological signal sensed by the selected at least one physiological sensor.

9. The system of claim 8 , wherein the controller circuit is configured to, when the received physical activity level exceeds a first threshold:

identify the at least one physiological sensor that has a lower sensitivity than other of the plurality of physiological sensors; and

sampling the physiological signal via the identified at least one physiological sensor at an increased sampling rate.

10. The system of claim 9 , wherein the identified at least one sensor with the lower sensitivity includes at least one of a photoplethysmography (PPG) sensor or a galvanic skin response (GSR) sensor.

11. The system of claim 8 , wherein the controller circuit is configured to, when the received physical activity level is below a second threshold:

identify the at least one physiological sensor that has a higher sensitivity to physical activity than other of the plurality of physiological sensors; and

sampling the physiological signal via the identified at least one physiological sensor at an increased sampling rate.

12. The system of claim 11 , wherein the identified at least one sensor with the higher sensitivity includes a heart sound sensor.

13. The system of claim 8 , wherein the controller circuit is configured to, when the received physical activity level is below a second threshold:

identify the at least one physiological sensor including an electromyography (EMG) sensor; and

decrease a sampling rate for sampling an EMG signal sensed by the EMG sensor.

14. A method of operating a neuromodulation device to provide neuromodulation to a patient, the method comprising:

determining a baseline physical activity pattern at a baseline state of the patient;

detecting a physical activity pattern from a motion signal sensed from the patient, the physical activity pattern representing a change in physical activity over time;

via a physiological sensor, initiating sampling of a physiological signal based on a dissimilarity between the detected physical activity pattern and the baseline physical activity pattern; and

via a control circuit, initiating or adjusting a neuromodulation therapy in response to the sampled physiological signal satisfying a condition.

15. The method of claim 14 , comprising:

adjusting a sampling rate of the physiological signal based on the dissimilarity between the detected physical activity pattern and the baseline physical activity pattern; and

initiating or adjusting the neuromodulation therapy in response to the physiological signal sampled at the adjusted sampled rate satisfying the condition.

16. The method of claim 15 , wherein the baseline physical activity pattern includes a baseline rate of change in activity level during a specific time period of day, and the detected physical activity pattern includes a detected rate of change in activity level during the specific time period of day;

wherein adjusting the sampling rate of the physiological signal includes increasing the sampling rate of the physiological signal when a difference between the detected rate of change and the baseline rate of change exceeds a threshold.

17. The method of claim 15 , wherein the baseline physical activity pattern includes a scheduled activity at a predetermined time of day,

wherein adjusting the sampling rate of the physiological signal includes increasing the sampling rate of the physiological signal when the determined dissimilarity indicates the scheduled activity is missing from the detected physical activity at the predetermined time of day.

18. The method of claim 14 , further comprising:

detecting a physical activity level from the motion signal; and

identifying, from a plurality of physiological sensors having respective sensitivities to physical activity, at least one physiological sensor based on the detected physical activity level;

wherein initiating or adjusting the neuromodulation therapy is based on the physiological signal sensed by the identified at least one physiological sensor.

19. The method of claim 18 , comprising:

when the detected physical activity level exceeds a first threshold identifying the least one physiological sensor that has a lower sensitivity than other of the plurality of physiological sensors; and

sampling the physiological signal via the identified at least one physiological sensor at an increased sampling rate.

20. The method of claim 18 , comprising:

when the detected physical activity level is below a second threshold, identifying the at least one physiological sensor that has a higher sensitivity to physical activity than other of the plurality of physiological sensors; and

sampling the physiological signal via the identified at least one physiological sensor at an increased sampling rate.

Continuity (4)
Continuation 17095642 · Nov 11, 2020
Continuation 16034304 · Jul 12, 2018
Provisional Application 62533789 · Jul 18, 2017
Related Publication 20220379119A1 · Dec 1, 2022
Cited By (1)
US 12,636,499