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公开(公告)号:US10092753B1
公开(公告)日:2018-10-09
申请号:US15227922
申请日:2016-08-03
Applicant: HRL Laboratories, LLC
Inventor: Michael D. Howard , Praveen K. Pilly , Matthias Ziegler , Matthew E. Phillips , Rajan Bhattacharyya
IPC: A61N1/36 , A61B5/0476 , A61B5/00 , A61N1/04
Abstract: Described is a system for enhancing memories during sleep. The system detects, via at least one sensor, brain activity of a user as the user learns a new episode pattern or recalls an episode pattern. The episode pattern is temporally compressed. A specific sleep stage is detected in the user. Upon detection of the specific sleep stage, the system automatically recreates the temporally compressed episode pattern by applying neural stimulation to the user to ensure the consolidation of the episode pattern in the user.
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公开(公告)号:US10546233B1
公开(公告)日:2020-01-28
申请号:US14978814
申请日:2015-12-22
Applicant: HRL Laboratories, LLC
Inventor: Rajan Bhattacharyya , James Benvenuto , Matthew E. Phillips , Matthias Ziegler , Michael D. Howard , Suhas E. Chelian , Rashmi N. Sundareswara , Vincent De Sapio , David L. Allen
Abstract: Described is a system for explaining how the human brain represents conceptual knowledge. A semantic model is developed, and a behavioral exam is performed to assess a calibration subject into a cohort and reveal semantic relationships to modify a personalized semantic space developed by the semantic model. Semantic features are extracted from the personalized semantic space. Neural features are extracted from neuroimaging of the human subject. A neuroceptual lattice is created having nodes representing attributes by aligning the semantic features and the neural features. Structures in the neuroceptual lattice are identified to quantify an extent to which the set of neural features represents a target concept. The identified structures are used to interpret conceptual knowledge in the brain of a test subject.
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公开(公告)号:US10071245B1
公开(公告)日:2018-09-11
申请号:US14987467
申请日:2016-01-04
Applicant: HRL Laboratories, LLC
Inventor: Matthew E. Phillips , Matthias Ziegler , David W. Payton , Charles E. Martin
IPC: A61N1/36 , A61B5/16 , A61B5/0484 , A61B5/00
CPC classification number: A61N1/36025 , A61B5/0075 , A61B5/0484 , A61B5/16 , A61N1/0456 , A61N1/0476 , A61N1/0484 , A61N1/36031 , A61N1/36034
Abstract: Described is system for mapping user behavior to brain regions of interest. Using a cognitive-behavior model, a behavioral task is selected that is suited for a desired brain state. Using a functional-anatomical model coupled to the cognitive-behavior model, a set of high-definition neurostimulations is selected to be applied to the user during performance of the selected behavioral task. The selected set of high-definition neurostimulations targets specific regions of the user's brain. Changes in the user's brain state are sensed during application of the set of high-definition neurostimulations and performance of the selected behavioral task using at least one brain monitoring technique. The coupled functional-anatomical and cognitive-behavior models are adapted until the desired brain state is reached.
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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
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.
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公开(公告)号:US10676083B1
公开(公告)日:2020-06-09
申请号:US15584905
申请日:2017-05-02
Applicant: HRL Laboratories, LLC
Inventor: Vincent De Sapio , Jaehoon Choe , Matthew E. Phillips
Abstract: Described is a system for prediction and active compensation of occupant motor response in a vehicle accident. The system uses a spinal reflex model to generate a stimulus based on an accident scenario of an occupant in a vehicle, the stimulus being a set of proprioceptive signals induced by the accident scenario. A neuromuscular model then determines activation and contraction dynamics based on the stimulus. The activation and contraction dynamics represent muscle contraction forces spanning a skeletal system of the occupant. A musculoskeletal model then generates a predicted motor response of the occupant based on the activation and contraction dynamics. The predicted motor response can be used for a variety of purposes, such as initiating active compensation in a vehicle or modifying airline cabin design parameters to decrease the likelihood of injury to the occupant.
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公开(公告)号:US10130311B1
公开(公告)日:2018-11-20
申请号:US15158478
申请日:2016-05-18
Applicant: HRL Laboratories, LLC
Inventor: Vincent De Sapio , Suhas E. Chelian , Rajan Bhattacharyya , Matthew E. Phillips , Matthias Ziegler , David W. Payton
Abstract: Described is a system for patient-specific rehabilitation that can be performed outside a clinic. The system monitors a patient in real-time to generate a quantitative assessment of a physical state and a motivational state of the patient using sensor data obtained from sensors. Predictions related to the patient are generated utilizing patient-specific biomechanical and neurocognitive models implemented with predictive simulations. Video feed of the patient is registered with sensor data and a set of simulation data. Rehabilitation guidance instructions are conveyed to the patient through dialog-based interactions.
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公开(公告)号:US20170303849A1
公开(公告)日:2017-10-26
申请号:US15042078
申请日:2016-02-11
Applicant: HRL Laboratories, LLC
Inventor: Vincent De Sapio , Michael D. Howard , Suhas E. Chelian , Matthias Ziegler , Matthew E. Phillips , Kevin R. Martin , Heiko Hoffmann , David W. Payton
IPC: A61B5/00 , A61B5/0488 , A61B5/11 , A61N1/36
CPC classification number: A61B5/4836 , A61B5/0488 , A61B5/1117 , A61B5/112 , A61B5/1122 , A61B5/1123 , A61B5/4023 , A61B5/6804 , A61B5/7275 , A61B5/7455 , A61B5/746 , A61B2562/0219 , A61N1/0484 , A61N1/36003 , A61N1/36031 , A61N1/36036
Abstract: Described is a system for system for gait intervention and fall prevention. The system is incorporated into a body suit having a plurality of distributed sensors and a vestibulo-muscular biostim array. The sensors are operable for providing biosensor data to the analytics module, while the vestibulo-muscular biostim array includes a plurality of distributed effectors. The analytics module is connected with the body suit and sensors and is operable for receiving biosensor data and analyzing a particular user's gait and predicting falls. Finally, a closed-loop biostim control module is included for activating the vestibulo-muscular biostim array to compensate for a risk of a predicted fall.
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公开(公告)号:US10898711B1
公开(公告)日:2021-01-26
申请号:US16109610
申请日:2018-08-22
Applicant: HRL Laboratories, LLC
Inventor: Matthew E. Phillips , Matthias Ziegler , David W. Payton , Charles E. Martin
IPC: A61N1/36 , A61B5/00 , A61B5/0484 , A61B5/16
Abstract: Described is system for mapping user behavior to brain regions of interest. Using a cognitive-behavior model, a behavioral task is selected that is suited for a desired brain state. Using a functional-anatomical model coupled to the cognitive-behavior model, a set of high-definition neurostimulations is selected to be applied to the user during performance of the selected behavioral task. The selected set of high-definition neurostimulations targets specific regions of the user's brain. Changes in the user's brain state are sensed during application of the set of high-definition neurostimulations and performance of the selected behavioral task using at least one brain monitoring technique. The coupled functional-anatomical and cognitive-behavior models are adapted until the desired brain state is reached.
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公开(公告)号:US10052062B2
公开(公告)日:2018-08-21
申请号:US15042078
申请日:2016-02-11
Applicant: HRL Laboratories, LLC
Inventor: Vincent De Sapio , Michael D. Howard , Suhas E. Chelian , Matthias Ziegler , Matthew E. Phillips , Kevin R. Martin , Heiko Hoffmann , David W. Payton
IPC: A61B5/00 , A61B5/11 , A61B5/0488 , A61N1/36
CPC classification number: A61B5/4836 , A61B5/0488 , A61B5/1117 , A61B5/112 , A61B5/1122 , A61B5/1123 , A61B5/4023 , A61B5/6804 , A61B5/7275 , A61B5/7455 , A61B5/746 , A61B2562/0219 , A61N1/0484 , A61N1/36003 , A61N1/36031 , A61N1/36036 , G16H20/30 , G16H40/63 , G16H50/30
Abstract: Described is a system for system for gait intervention and fall prevention. The system is incorporated into a body suit having a plurality of distributed sensors and a vestibulo-muscular biostim array. The sensors are operable for providing biosensor data to the analytics module, while the vestibulo-muscular biostim array includes a plurality of distributed effectors. The analytics module is connected with the body suit and sensors and is operable for receiving biosensor data and analyzing a particular user's gait and predicting falls. Finally, a closed-loop biostim control module is included for activating the vestibulo-muscular biostim array to compensate for a risk of a predicted fall.
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公开(公告)号:US09878155B1
公开(公告)日:2018-01-30
申请号:US15250150
申请日:2016-08-29
Applicant: HRL Laboratories, LLC
Inventor: Matthew E. Phillips , Matthias Ziegler
IPC: A61N1/36 , A61B5/0476 , A61B5/00 , A61B5/16
CPC classification number: A61N1/36025 , A61B5/0075 , A61B5/048 , A61B5/18 , A61B5/4836 , A61N1/0456 , A61N1/36031
Abstract: Described is a system for augmenting team performance via individual neurostimulation. An assessment is generated for each team member of a team while the team member is performing a behavioral task using neuroimaging data. A target brain state is selected in team members for team performance enhancement. The target brain state is associated with specific brain regions, and the system determines a HD-tCS neurostimulation needed to reach the specific brain regions to induce the target brain state in the team members. The determined HD-tCS neurostimulation is applied to the team members while simultaneously sensing, via real-time neuroimaging, neural activity in each team member while the team member performs a behavioral task. Team performance is enhanced by adjusting the HD-tCS neurostimulation of each team member, based on the sensed neural activity, to direct each team member toward the target brain state.
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