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公开(公告)号：US20250018201A1
公开(公告)日：2025-01-16
申请号：US18780787
申请日：2024-07-23
Applicant: NEUROSTEER INC.
Inventor： Nathan INTRATOR
Abstract: Methods and systems for optimizing invasive and noninvasive brain stimulation are described herein. In a particular embodiment, methods and systems for a combinatorial, iterative approach to modify behavior are presented wherein deep brain stimulation (DBS) and other brain stimulation therapies are implemented in combination with monitoring the brain activity of an individual to optimize the effectiveness of the combinatorial approach to modify behavior. Methods described herein are iterative and systems described herein are utilized in iterative fashion. In a particular embodiment, modifying behavior provides a therapy for an individual in need thereof.
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公开(公告)号：US20240382162A1
公开(公告)日：2024-11-21
申请号：US18693521
申请日：2022-09-27
Applicant: B-Wave Co., Ltd.
Inventor： Seung Hwan Lee , Han Jeong Hwang , Mi Seon Shim
Abstract: The present invention provides a method for providing information on a major depressive disorder implemented by a processor. Provided are a method for providing information on a major depressive disorder and a device using the same, the method comprising the steps of: receiving brain wave data of a subject; extracting feature data of at least one of power spectrum densities (PSDs), a functional connectivity, and a network index with respect to the brain wave data; and determining whether the subject has a major depressive disorder on the basis of at least one feature data, by using a classification model trained to output whether a subject has a major depressive disorder on the basis of the at least one feature data as an input, wherein the subject is a subject suspected of suffering from a major depressive disorder without having a history of drug use.
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公开(公告)号：US20240374207A1
公开(公告)日：2024-11-14
申请号：US18658871
申请日：2024-05-08
Applicant: PRECISION NEUROSCIENCE CORPORATION
Inventor： Benjamin I. RAPOPORT , Craig H. MERMEL , Mark HETTICK , Elton HO , Demetrios PAPAGEORGIOU , Adam J. POOLE , Manuel MONGE , Kazutaka TAKAHASHI , Daniel TRIETSCH , Kyle REED , Mark MURPHY
Abstract: A system for detecting a neurological state of a brain of a patient is disclosed. The system comprises one or more recording arrays, a database, and a processor. The recording arrays comprise a plurality of recording electrodes having a diameter of less than about 1 mm and spaced by less than about 1 mm, and are configured to be minimally invasively inserted to the brain to record electrical signals from a target recording site. The database stores electrophysiological data relating to known electrophysiological signatures associated with neurological states. The processor is configured to receive recorded signals from the recording arrays, access the electrophysiological data from the database, identify electrophysiological signatures in the recorded signals based on the electrophysiological data, and determine the neurological state of the brain based on the identified electrophysiological signatures.
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公开(公告)号：US20240366141A1
公开(公告)日：2024-11-07
申请号：US18656157
申请日：2024-05-06
Applicant: Brown University
Inventor： Stephanie Jones , David Zhou
Abstract: Disclosed herein is a pattern recognition and feature extraction system and method configured to detect and analyze non-stationary, transient, or locally structured signals from longer time-series data of obtained beta waveforms of an animal to characterize a biomarker of a brain state or condition. An example system comprises a computing device configured to process obtained recordings of electrical activity arising from a brain of an animal for detecting beta wave events. A first representation of short-time segments may be generated to represent amplitude fluctuations indicating extrema and time-domain features in the beta wave events and a second representation for identifying temporal positions of the extrema in the first representation. The computing device compares statistical distributions of feature characteristics and generates mean waveforms of signals from at least one condition aligned by the temporal positions assigned to one of extracted feature types to indicate a brain state of the animal.
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公开(公告)号：US12109035B2
公开(公告)日：2024-10-08
申请号：US16791797
申请日：2020-02-14
Applicant: Translational Research Institute Pty Ltd as trustee for Translational Research Institute Trust
Inventor： Carolyn Mountford , David Crompton , Nathan Tosh , Rosanna Tremewan
IPC: A61B5/00 , A61B5/05 , A61B5/055 , A61B5/16 , A61B5/374 , A61M21/00 , A61N2/00 , A61N2/02 , G01R33/46 , G16H20/70
CPC classification number: A61B5/4076 , A61B5/374 , A61N2/006
Abstract: A method and system for monitoring therapeutic interventions for treating a patient with PTSD comprises using a scanner to obtain pre-treatment neural spectroscopic data of at least one neuromarker chemical in the brain of the patient before treatment, treating the patient with at least one treatment protocol, after treatment, obtaining post-treatment neural spectroscopic data of the at least one neuromarker chemical in the brain of the patient, and comparing the results of the pre-treatment and post-treatment data to enable a determination of the effectiveness of the treatment.
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Patent Agency Ranking
76.发明公开公开(公告)号：US20240331567A1
公开(公告)日：2024-10-03
申请号：US18740576
申请日：2024-06-12
Applicant: SYNPHNE PTE. LTD.
Inventor： Subhasis BANERJI
IPC: G09B19/00 , A61B5/00 , A61B5/0205 , A61B5/024 , A61B5/08 , A61B5/11 , A61B5/16 , A61B5/24 , A61B5/291 , A61B5/369 , A61B5/374 , A61B5/389
CPC classification number: G09B19/00 , A61B5/0022 , A61B5/0024 , A61B5/0205 , A61B5/1118 , A61B5/165 , A61B5/4854 , A61B5/486 , A61B5/02405 , A61B5/082 , A61B5/1122 , A61B5/168 , A61B5/24 , A61B5/291 , A61B5/369 , A61B5/374 , A61B5/389 , A61B2505/09 , A61B2560/0252 , A61B2560/0257 , A61B2562/0219
Abstract: Disclosed is a learning model employed to treat patients with functional impairments due to psychological, mental cognitive or physical disorders or disabilities. The treatment includes accessing at which transition stage of the learning model that a subject has movement transition deficits based on the subject's bio-signals, such as brain state and muscle state signals. The movement transition deficits are addressed so that the subject can attain an upward spiral, accelerating functional recovery or development and avoid a downward spiral towards compensation and slowing down of recovery.
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77.发明公开公开(公告)号：US20240325760A1
公开(公告)日：2024-10-03
申请号：US18742987
申请日：2024-06-13
Applicant: RAMOT AT TEL-AVIV UNIVERSITY LTD.
Inventor： Inna SLUTSKY , Shiri SHOOB , Nadav BUCHBINDER , Daniel ZARHIN
CPC classification number: A61N1/36135 , A61B5/055 , A61B5/245 , A61B5/374 , A61B5/4088 , A61B5/7275 , A61K45/06 , A61N1/36082 , A61N1/36146
Abstract: Methods are for determining whether a subject who does not present clinical symptoms associated with Alzheimer's disease (AD) or mild cognitive impairment (MCI) is in a process of developing AD or MCI, or at risk for developing post-anesthesia delirium or cognitive dysfunction, by detecting the presence of epileptiform spikes in the brain of the subject during diagnostic anesthesia. Additional methods are for preventing, reducing likelihood of, or treating AD or MCI, or post-anesthesia delirium or cognitive dysfunction.
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公开(公告)号：US20240285222A1
公开(公告)日：2024-08-29
申请号：US18574506
申请日：2022-06-28
Applicant: Translation Holdings LLC
Inventor： Steven Rothenberg , Jacob Taylor
CPC classification number: A61B5/374 , A61B5/0022 , A61B5/4827 , A61B5/7275
Abstract: Described herein are systems and methods for modifying pain sensitivity in a subject. Example systems can include a plurality of sensors configured to detect electroencephalography (EEG) signals in the subject, and a processor communicably coupled to the plurality of sensors. The processor can be configured to receive first EEG signals from the sensors and determine, based on the first EEG signals, at least one of (i) a first value for a predicted pain sensitivity (PPS) associated with the subject or (ii) a second value for a peak alpha frequency (PAF) associated with the subject. The processor can be further configured to receive second EEG signals from the sensors and provide feedback to the subject when a characteristic of the second EEG-signals indicates a. reduced pain sensitivity.
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公开(公告)号：US12070337B2
公开(公告)日：2024-08-27
申请号：US16870958
申请日：2020-05-09
Applicant: WAVE NEUROSCIENCE, INC.
Inventor： Yi Jin
CPC classification number: A61B5/7257 , A61B5/165 , A61B5/374 , A61B5/4088
Abstract: Described are novel systems for the diagnosis of specific mental disorders using neurometrics. EEG parameters are compared to thresholds to determine if a person is suffering from autism spectrum disorder, Alzheimer's disease, anxiety, depression, or schizophrenia.
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80.发明公开公开(公告)号：US20240257943A1
公开(公告)日：2024-08-01
申请号：US18425118
申请日：2024-01-29
Applicant: RUIANXING MEDICAL TECHNOLOGY(SUZHOU)CO.LTD
Inventor： Buwei YU , Tielin ZHANG , Han LU , Hongxing LIU
CPC classification number: G16H20/70 , A61B5/374 , A61B5/7267 , G16H50/20
Abstract: Provided are a training method of a brain activity state classification model, a brain activity state classification method, a device, and a storage medium. The training method includes acquiring pulse sequences of electroencephalography signal samples corresponding to multiple training tasks; and inputting the pulse sequences of the electroencephalography signal samples into an initial brain activity state classification model and training the brain activity state classification model based on a target rule. In a forward propagation stage in the target rule, Hebbian information corresponding to each synapse in the brain activity state classification model is updated according to the pulse sequences corresponding to the multiple training tasks; and in a backward propagation stage in the target rule, a weight of each synapse in the brain activity state classification model is determined according to the Hebbian information corresponding to each synapse and a backward propagation result.
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