IP Library Granted Patent US 10,413,724
Granted Patent B2
US 10,413,724 · App. 15/947,733 · Granted Sep 17, 2019

Method for low latency automated closed-loop synchronization of neurostimulation interventions to neurophysiological activity

Inventors: Jaehoon Choe (Agoura Hills, CA); Praveen K. Pilly (West Hills, CA)
Assignee: HRL Laboratories, LLC
A61N1/36025A61B5/048A61B5/0476A61B5/4806A61B5/4836A61B5/6814A61B5/7264A61B5/7275A61B5/7278A61M21/00A61M21/02A61N1/025A61N1/36031A61B2560/0223A61M2021/0055A61M2021/0072A61M2205/502A61M2205/52A61M2230/10A61N1/0456A61N1/0476G16H50/30
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Quick Facts
Patent No.
US 10,413,724
App. No.
15/947,733
Granted
Sep 17, 2019
Kind
B2
Abstract

Described is a system for synchronization of neurostimulation interventions. The system continuously monitors incoming neurophysiological signals. Latencies present in the monitoring of the incoming neurophysiological signals are measured. Based on the measured latencies, the timing of targeted neurostimulation interventions is determined, resulting in a neurostimulation intervention protocol. The neurostimulation intervention protocol is adjusted in real time for administration of neurostimulation during temporal regions of interest. The system then triggers administration of the neurostimulation during the temporal regions of interest.

Claims (36)

1. A system for synchronization of neurostimulation interventions, the system comprising:

one or more processors and a non-transitory computer-readable medium having executable instructions encoded thereon such that when executed, the one or more processors perform operations of:

continuously monitoring incoming neurophysiological signals;

measuring latencies present in the monitoring of the incoming neurophysiological signals;

based on the measured latencies, determining timing of targeted neurostimulation interventions, resulting in a neurostimulation intervention protocol;

adjusting the neurostimulation intervention protocol in real time for administration of neurostimulation during temporal regions of interest;

replicating properties of the incoming neurophysiological signals at the time of neurostimulation; and

administering the neurostimulation during the temporal regions of interest.

2. The system as set forth in claim 1 , wherein the one or more processors further perform operations of classifying the incoming neurophysiological signals and adapting the administered neurostimulation according to the classified incoming neurophysiological signals.

3. The system as set forth in claim 1 , wherein the one or more processors further perform an operation of verifying that the administered neurostimulation replicates the properties of the incoming neurophysiological signals.

4. The system as set forth in claim 1 , wherein the one or more processors further perform an operation of calibrating the triggering of the administration of the neurostimulation to a set of predetermined neurophysiological signals.

5. The system as set forth in claim 1 , wherein the one or more processors further perform an operation of determining potential time points of neurostimulation during which the administered neurostimulation matches predicted neurophysiological signals for slow-wave sleep augmentation.

6. A computer implemented method for synchronization of neurostimulation interventions, the method comprising an act of:

causing one or more processers to execute instructions encoded on a non-transitory computer-readable medium, such that upon execution, the one or more processors perform operations of:

continuously monitoring incoming neurophysiological signals;

measuring latencies present in the monitoring of the incoming neurophysiological signals;

based on the measured latencies, determining timing of targeted neurostimulation interventions, resulting in a neurostimulation intervention protocol;

adjusting the neurostimulation intervention protocol in real time for administration of neurostimulation during temporal regions of interest;

replicating properties of the incoming neurophysiological signals at the time of neurostimulation; and

administering the neurostimulation during the temporal regions of interest.

7. The method as set forth in claim 6 , wherein the one or more processors further perform an operation of classifying the incoming neurophysiological signals and adapting the administered neurostimulation according to the classified incoming neurophysiological signals.

8. The method as set forth in claim 6 , wherein the one or more processors further perform an operation of verifying that the administered neurostimulation replicates the properties of the incoming neurophysiological signals.

9. The method as set forth in claim 6 , wherein the one or more processors further perform an operation of calibrating the triggering of the administration of the neurostimulation to a set of predetermined neurophysiological signals.

10. The method as set forth in claim 6 , wherein the one or more processors further perform an operation of determining potential time points of neurostimulation during which the administered neurostimulation matches predicted neurophysiological signals for slow-wave sleep augmentation.

11. A computer program product for synchronization of neurostimulation interventions, the computer program product comprising:

computer-readable instructions stored on a non-transitory computer-readable medium that are executable by a computer having one or more processors for causing the processor to perform operations of:

continuously monitoring incoming neurophysiological signals;

measuring latencies present in the monitoring of the incoming neurophysiological signals;

based on the measured latencies, determining timing of targeted neurostimulation interventions, resulting in a neurostimulation intervention protocol;

adjusting the neurostimulation intervention protocol in real time for administration of neurostimulation during temporal regions of interest;

replicating properties of the incoming neurophysiological signals at the time of neurostimulation; and

administering the neurostimulation during the temporal regions of interest.

12. The computer program product as set forth in claim 11 , further comprising instructions for causing the one or more processors to further perform an operation of classifying the incoming neurophysiological signals and adapting the administered neurostimulation according to the classified incoming neurophysiological signals.

13. The computer program product as set forth in claim 11 , further comprising instructions for causing the one or more processors to further perform an operation of verifying that the administered neurostimulation replicates the properties of the incoming neurophysiological signals.

14. The computer program product as set forth in claim 11 , further comprising instructions for causing the one or more processors to further perform an operation of calibrating the triggering of the administration of the neurostimulation to a set of predetermined neurophysiological signals.

15. The computer program product as set forth in claim 11 , further comprising instructions for causing the one or more processors to further perform an operation of determining potential time points of neurostimulation during which the administered neurostimulation matches predicted neurophysiological signals for slow-wave sleep augmentation.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jul 5, 2018
From: CHOE, JAEHOON; PILLY, PRAVEEN K.
To: HRL LABORATORIES, LLC
Reel/Frame 046271/0714 →
Continuity (6)
Continuation In Part 15332787 · Oct 24, 2016
Continuation In Part 15583983 · May 1, 2017
Provisional Application 62245730 · Oct 23, 2015
Provisional Application 62330440 · May 2, 2016
Provisional Application 62516350 · Jun 7, 2017
Related Publication 20180221661A1 · Aug 9, 2018
Cited By (2)
US 12,251,563 US 12,285,606