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Abstract
Provided are systems, methods, and devices for providing mediation of a traumatic brain injury. Systems may include an interface, processing devices, and a controller. The interface is configured to obtain measurements from a brain of a user with a traumatic brain injury. A first processing device is configured to generate multiple brain state parameters characterizing one or more features of a brain state of the user. A second processing device is configured to generate models of the brain of the user based on the plurality of brain state parameters and the plurality of measurements, and determine, using the models and training data comprising one or more mediation data points, a mediation procedure for reducing one or more symptoms of the traumatic brain injury. The mediation procedure is provided to one or more entities, and one or more control signals are generated by the controller based on the mediation procedure.
Core Innovation
The invention relates to systems and methods for mediation of traumatic brain injury using an interface comprising one or more electrodes to obtain a plurality of measurements from a brain of a user with a traumatic brain injury. The system stores a plurality of brain state parameters characterizing one or more features of at least one brain state of the brain of the user. The measurements and brain state parameters support training data for generating models of the brain of the user.
A processing device trains a neural network to generate one or more models of the brain of the user using training data generated at least in part from one or more mediation data points, the plurality of brain state parameters, and the plurality of measurements. A procedure for mediation is determined using at least the one or more models. The procedure for mediation is configured to reduce one or more symptoms of the traumatic brain injury.
A controller generates one or more control signals based on the procedure for mediation, and the one or more control signals are transmitted to an embedded prosthetic device implanted in the user. The embedded prosthetic device is configured to perform an operation on the brain of the user to suppress epileptic seizures based on the one or more control signals. The framework supports a closed-loop feedback iteration using updated measurements obtained by the interface after an operation is performed.
Claims Coverage
The independent claims are clm-00001, clm-00010, and clm-00019, which share six core inventive features centered on electrode-based measurement, stored brain state parameters, neural-network training using mediation data points, determining a mediation procedure, generating control signals, and operating an embedded prosthetic device.
Electrode-based brain measurements for traumatic brain injury
Obtaining a plurality of measurements from a brain of a user with a traumatic brain injury, wherein the plurality of measurements are obtained by one or more electrodes of an interface.
Brain state parameters stored in memory
Storing a plurality of brain state parameters characterizing one or more features of at least one brain state of the brain of the user.
Neural network trained using mediation data points
Training a neural network to generate one or more models of the brain of the user using training data generated at least in part from one or more mediation data points, the plurality of brain state parameters, and the plurality of measurements.
Mediation procedure determined to reduce traumatic brain injury symptoms
Determining a procedure for mediation using at least the one or more models, the procedure for mediation configured to reduce one or more symptoms of the traumatic brain injury.
Control signals generated from the mediation procedure
Generating one or more control signals based on the procedure for mediation.
Embedded prosthetic device operation to suppress epileptic seizures
Transmitting the one or more control signals to an embedded prosthetic device implanted in the user and performing an operation on the brain of the user to suppress epileptic seizures based on the one or more control signals.
The independent claims collectively cover a closed-loop mediation framework in which neural network models of a traumatic brain injury brain are trained using mediation data points together with brain state parameters and electrode-based measurements, a mediation procedure is determined to reduce traumatic brain injury symptoms, and control signals derived from that procedure are transmitted to an embedded prosthetic device to suppress epileptic seizures.
Stated Advantages
Configured to reduce one or more symptoms of the traumatic brain injury.
Performs an operation on the brain to suppress epileptic seizures based on one or more control signals.
Documented Applications
Closed-loop mediation of traumatic brain injury using an electrode-based brain interface and an embedded prosthetic device, including seizure-related embodiments that suppress epileptic seizures.
Providing diagnostic information and notification message based on one or more models to one or more entities, including a client device corresponding to a medical professional.
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