公开(公告)号：US20210240265A1

公开(公告)日：2021-08-05

申请号：US17112052

申请日：2020-12-04

Applicant: HRL LABORATORIES, LLC

Inventor： Praveen Pilly ,  Jaehoon Choe ,  Michael Howard ,  Nicholas Ketz

IPC: G06F3/01 ,  A61B5/291 ,  G06F9/48 ,  G06F9/54

Abstract: A closed-loop system for asynchronous brain control of at least one task includes a brain state decoder configured to decode neural signals of a user into control signals for controlling the at least one task, a task interface module configured to transmit the control signals to the at least one task, store status information including a series of messages regarding each of the at least one task, and select one message of the series of messages regarding the at least one task to transmit to the user, and a brain state encoder configured to map the one message received from the task interface module into brain state montages for transmission to the user.

公开(公告)号：US20180264264A1

公开(公告)日：2018-09-20

申请号：US15983629

申请日：2018-05-18

Applicant: HRL Laboratories, LLC

Inventor： Steven W. Skorheim ,  Nicholas A. Ketz ,  Jaehoon Choe ,  Praveen K. Pilly

IPC: A61N1/36 ,  A61N1/02 ,  A61N1/04

CPC classification number: A61N1/36025 ,  A61M21/00 ,  A61M2021/0072 ,  A61M2205/52 ,  A61M2230/10 ,  A61N1/025 ,  A61N1/0484 ,  A61N1/36034 ,  G16H20/30 ,  G16H20/70

Abstract: Described is a system for transcranial stimulation to improve cognitive function. During operation, the system generates a customized stimulation pattern based on damaged white matter. Further, data is obtained representing natural brain oscillations of a subject. Finally, while the subject is awake, one or more electrodes are activated in phase with the natural brain oscillations and based on the customized stimulation pattern.

公开(公告)号：US20180221661A1

公开(公告)日：2018-08-09

申请号：US15947733

申请日：2018-04-06

Applicant: HRL Laboratories, LLC

Inventor： Jaehoon Choe ,  Praveen K. Pilly

IPC: A61N1/36 ,  A61M21/02 ,  A61B5/0476 ,  A61N1/02 ,  A61N1/04

CPC classification number: A61N1/36025 ,  A61B5/0476 ,  A61B5/048 ,  A61B5/4806 ,  A61B5/4836 ,  A61B5/6814 ,  A61B5/7264 ,  A61B5/7275 ,  A61B5/7278 ,  A61B2560/0223 ,  A61M21/00 ,  A61M21/02 ,  A61M2021/0055 ,  A61M2021/0072 ,  A61M2205/502 ,  A61M2205/52 ,  A61M2230/10 ,  A61N1/025 ,  A61N1/0456 ,  A61N1/0476 ,  A61N1/36031 ,  G16H20/30 ,  A61M2230/005

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.

公开(公告)号：US11317870B1

公开(公告)日：2022-05-03

申请号：US16267376

申请日：2019-02-04

Applicant: HRL Laboratories, LLC

Inventor： Vincent De Sapio ,  Jaehoon Choe ,  Iman Mohammadrezazadeh ,  Kang-Yu Ni ,  Heiko Hoffmann ,  Charles E. Martin ,  Yuri Owechko

IPC: A61B5/00 ,  A61B5/11

Abstract: Described is a system for health assessment. The system is implemented on a mobile device having at least one of an accelerometer, a geographic location sensor, and a camera. In operation, the system obtains sensor data related to an operator of the mobile device from one of the sensors. A network of networks (NoN) is generated based on the sensor data, the NoN having a plurality of layers with linked nodes. Tuples are thereafter generated. Each tuple contains a node from each layer that optimizes importance, diversity, and coherence. Storylines are created based on the tuples that solves a longest path problem for each tuple. The storylines track multiple symptom progressions of the operator. Finally, a disease prediction of the operator is provided based on the storylines.

公开(公告)号：US11285320B1

公开(公告)日：2022-03-29

申请号：US16375598

申请日：2019-04-04

Applicant: HRL Laboratories, LLC

Inventor： Jaehoon Choe ,  Praveen K. Pilly

IPC: A61N1/36 ,  A61N1/04 ,  A61B5/00 ,  G09B19/06 ,  G06F9/54 ,  A61B5/291

Abstract: A neuro-stimulation system having: a controller; a user interface arranged for, under control of the controller, providing a user with a series of information elements to be learned by the user; a non-invasive brain stimulator arranged for, under the control of the controller, tagging each information element of said series of information elements by stimulating a brain of the user with a different, unique, associated brain stimulus when the user is provided said information element by said user interface; and a non-invasive brain sensor arranged for sending to the controller data indicating a slow-wave sleep period of the user; wherein the controller is further arranged for cueing each information element of said series of information elements by causing the stimulator to stimulate the brain of the user with the brain stimuli associated with said series of information elements during said slow-wave sleep period of the user.

公开(公告)号：US11237634B2

公开(公告)日：2022-02-01

申请号：US17112052

申请日：2020-12-04

Applicant: HRL LABORATORIES, LLC

Inventor： Praveen Pilly ,  Jaehoon Choe ,  Michael Howard ,  Nicholas Ketz

IPC: G06F9/46 ,  G06F3/01 ,  G06F9/54 ,  G06F9/48 ,  A61B5/291

Abstract: A closed-loop system for asynchronous brain control of at least one task includes a brain state decoder configured to decode neural signals of a user into control signals for controlling the at least one task, a task interface module configured to transmit the control signals to the at least one task, store status information including a series of messages regarding each of the at least one task, and select one message of the series of messages regarding the at least one task to transmit to the user, and a brain state encoder configured to map the one message received from the task interface module into brain state montages for transmission to the user.

公开(公告)号：US10918862B1

公开(公告)日：2021-02-16

申请号：US16100184

申请日：2018-08-09

Applicant: HRL Laboratories, LLC

Inventor： Jaehoon Choe ,  Praveen K. Pilly ,  Steven W. Skorheim

IPC: A61N1/36 ,  A61N1/04 ,  A61B5/00

Abstract: Described is a system for adaptable neurostimulation intervention. The system monitors a set of neurophysiological signals in real-time and updates a physiological and behavioral model. The set of neurophysiological signals are classified in real-time based on the physiological and behavioral model. A neurostimulation intervention schedule is generated based on the classified set of neurophysiological signals. The system activates electrodes via a neurostimulation intervention system to cause a timed neurostimulation intervention to be administered based on the neurostimulation intervention schedule. The neurostimulation intervention schedule and timed neurostimulation intervention are refined based on new sets of neurophysiological signals.

公开(公告)号：US20170312517A1

公开(公告)日：2017-11-02

申请号：US15066813

申请日：2016-03-10

Applicant: HRL Laboratories, LLC

Inventor： Matthew E. Phillips ,  Matthias Ziegler ,  Jaehoon Choe

IPC: A61N1/36 ,  G09B9/24 ,  A61N1/04 ,  A61B5/00 ,  A61B5/0476 ,  G09B19/16

CPC classification number: A61N1/36025 ,  A61B5/0075 ,  A61B5/0476 ,  A61B5/6803 ,  A61N1/0408 ,  A61N1/0456 ,  A61N1/0484 ,  A61N1/36014 ,  G09B5/00 ,  G09B7/00 ,  G09B9/08 ,  G09B9/24 ,  G09B19/165

Abstract: Described is a system for training and assessment. In operation, the system classifies a subject's baseline brain state and behavioral performance. Training goals are assessed to specify tasks the subject is to perform and a desired level of performance. The subject is subjected to neurological stimulation while the subject performs specified tasks. Behavioral data is assessed to determine if the subject has achieved the training goals. If the subject has achieved the training goals, the system stops. Alternatively, if the individual has not achieved the training goals, then neurological data is reviewed to identify activation states and values of the neurological stimulation that resulted in increased performance values from the baseline behavioral performance. The activation states and values of the neurological stimulation are adjusted to match those that resulted in increased performance values. The process is repeated until the subject has achieved the training goals.

公开(公告)号：US11331483B1

公开(公告)日：2022-05-17

申请号：US16457520

申请日：2019-06-28

Applicant: HRL Laboratories, LLC

Inventor： Matthias Ziegler ,  Jaehoon Choe ,  Matthew E. Phillips

IPC: A61N1/36 ,  A61N1/20 ,  A61B5/00 ,  A61N1/04 ,  A61B5/291 ,  A61B5/18

Abstract: Described is a system for automatic adjustment of neurostimulation. The system controls stimulation of specific neural regions through a neural device positioned on a human subject, while simultaneously performing recordings from the neural device using a targeted arrangement of stimulating electrodes and distinct types of recording electrodes of the neural device. Stimulation of the specific neural regions is adjusted in real-time based on the recordings from the neural device.

公开(公告)号：US11023046B2

公开(公告)日：2021-06-01

申请号：US16890406

申请日：2020-06-02

Applicant: HRL LABORATORIES, LLC

Inventor： Nicholas A. Ketz ,  Aashish Patel ,  Michael D. Howard ,  Praveen K. Pilly ,  Jaehoon Choe

IPC: G06F3/01 ,  G06N3/08 ,  A61B5/375

Abstract: A brain-machine interface system configured to decode neural signals to control a target device includes a sensor to sample the neural signals, and a computer-readable storage medium having software instructions, which, when executed by a processor, cause the processor to transform the neural signals into a common representational space stored in the system, provide the common representational space as a state representation to inform an Actor recurrent neural network policy of the system, generate and evaluate, utilizing a deep recurrent neural network of the system having a generative sequence decoder, predictive sequences of control signals, supply a control signal to the target device to achieve an output of the target device, determine an intrinsic biometric-based reward signal, from the common representational space, based on an expectation of the output of the target device, and supply the intrinsic biometric-based reward signal to a Critic model of the system.