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US Patent 11712564 Systems and methods for automated deep brain stimulation programming

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Is a
Patent
Patent
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Patent attributes

Patent Applicant
Emory University
Emory University
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Current Assignee
Emory University
Emory University
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Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
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Patent Number
117125640
Date of Patent
August 1, 2023
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Patent Application Number
173151290
Date Filed
May 7, 2021
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Patent Citations
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US Patent 9037256 Methods and system for targeted brain stimulation using electrical parameter maps
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US Patent 7184837 Selection of neurostimulator parameter configurations using bayesian networks
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US Patent 8684921 Detecting, assessing and managing epilepsy using a multi-variate, metric-based classification analysis
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US Patent 8774923 Optimal deep brain stimulation therapy with Q learning
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US Patent 10195439 Method and apparatus for composing spatio-temporal patterns of neurostimulation using a neuronal network model
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US Patent 10842997 Machine learning to optimize spinal cord stimulation
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US Patent 9119964 System for deep brain stimulation employing a sensor for monitoring patient movement and providing closed loop control
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US Patent 9561380 Point-and-click programming for deep brain stimulation using real-time monopolar review trendlines
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Patent Primary Examiner
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Carl H Layno
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CPC Code
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A61N 1/36175
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A61N 1/36178
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A61N 1/36192
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A61N 1/36139
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A61N 1/36146
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A61N 1/36185
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A61N 1/37247
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A61N 1/3605
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The systems and methods can automatically determine a patient-specific set of stimulation parameters using optimization for exploring and/or programming a neurostimulation device, e.g., deep brain stimulation (DBS). In one implementation, the method may include receiving patient data and set of stimulation parameters associated stimulation delivered to a patient by a neurostimulation device. The method may include determining one or more objective metrics using the patient data for each set of stimulation parameters. The one or more objective metrics may be a quantitative value that represents a rating or score of tremor severity and/or side effect severity. The method may further include generating a patient specific response model using the one or more objective metrics and the associated set of stimulation parameters. The method may also include applying an optimization algorithm to the generated response model to determine a candidate set of one or more stimulation parameters.

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