CN110392549B - 确定引起期望行为的大脑刺激的系统、方法和介质 - Google Patents

确定引起期望行为的大脑刺激的系统、方法和介质 Download PDF

Info

Publication number
CN110392549B
CN110392549B CN201880016157.XA CN201880016157A CN110392549B CN 110392549 B CN110392549 B CN 110392549B CN 201880016157 A CN201880016157 A CN 201880016157A CN 110392549 B CN110392549 B CN 110392549B
Authority
CN
China
Prior art keywords
stimulation
brain
processors
behavioral
graphical representation
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Active
Application number
CN201880016157.XA
Other languages
English (en)
Chinese (zh)
Other versions
CN110392549A (zh
Inventor
P·K·皮利
M·D·霍华德
H·霍夫曼
T-C·卢
倪康宇
D·W·佩顿
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
HRL Laboratories LLC
Original Assignee
HRL Laboratories LLC
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by HRL Laboratories LLC filed Critical HRL Laboratories LLC
Publication of CN110392549A publication Critical patent/CN110392549A/zh
Application granted granted Critical
Publication of CN110392549B publication Critical patent/CN110392549B/zh
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/72—Signal processing specially adapted for physiological signals or for diagnostic purposes
    • A61B5/7235—Details of waveform analysis
    • A61B5/7264—Classification of physiological signals or data, e.g. using neural networks, statistical classifiers, expert systems or fuzzy systems
    • A61B5/7267—Classification of physiological signals or data, e.g. using neural networks, statistical classifiers, expert systems or fuzzy systems involving training the classification device
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/16—Devices for psychotechnics; Testing reaction times ; Devices for evaluating the psychological state
    • A61B5/165—Evaluating the state of mind, e.g. depression, anxiety
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/24—Detecting, measuring or recording bioelectric or biomagnetic signals of the body or parts thereof
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/24—Detecting, measuring or recording bioelectric or biomagnetic signals of the body or parts thereof
    • A61B5/25—Bioelectric electrodes therefor
    • A61B5/279—Bioelectric electrodes therefor specially adapted for particular uses
    • A61B5/291—Bioelectric electrodes therefor specially adapted for particular uses for electroencephalography [EEG]
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/24—Detecting, measuring or recording bioelectric or biomagnetic signals of the body or parts thereof
    • A61B5/316—Modalities, i.e. specific diagnostic methods
    • A61B5/369—Electroencephalography [EEG]
    • A61B5/375—Electroencephalography [EEG] using biofeedback
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/48—Other medical applications
    • A61B5/4836—Diagnosis combined with treatment in closed-loop systems or methods
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/72—Signal processing specially adapted for physiological signals or for diagnostic purposes
    • A61B5/7271—Specific aspects of physiological measurement analysis
    • A61B5/7278—Artificial waveform generation or derivation, e.g. synthesising signals from measured signals

Landscapes

  • Health & Medical Sciences (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Veterinary Medicine (AREA)
  • Pathology (AREA)
  • Biomedical Technology (AREA)
  • Heart & Thoracic Surgery (AREA)
  • Medical Informatics (AREA)
  • Molecular Biology (AREA)
  • Surgery (AREA)
  • Animal Behavior & Ethology (AREA)
  • General Health & Medical Sciences (AREA)
  • Public Health (AREA)
  • Biophysics (AREA)
  • Psychiatry (AREA)
  • Artificial Intelligence (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Signal Processing (AREA)
  • Physiology (AREA)
  • Psychology (AREA)
  • Mathematical Physics (AREA)
  • Fuzzy Systems (AREA)
  • Evolutionary Computation (AREA)
  • Child & Adolescent Psychology (AREA)
  • Developmental Disabilities (AREA)
  • Educational Technology (AREA)
  • Hospice & Palliative Care (AREA)
  • Social Psychology (AREA)
  • Measurement And Recording Of Electrical Phenomena And Electrical Characteristics Of The Living Body (AREA)
CN201880016157.XA 2017-05-03 2018-04-23 确定引起期望行为的大脑刺激的系统、方法和介质 Active CN110392549B (zh)

Applications Claiming Priority (3)

Application Number Priority Date Filing Date Title
US201762500500P 2017-05-03 2017-05-03
US62/500,500 2017-05-03
PCT/US2018/028962 WO2018204119A1 (en) 2017-05-03 2018-04-23 Method and apparatus to determine optimal brain stimulation to induce desired behavior

Publications (2)

Publication Number Publication Date
CN110392549A CN110392549A (zh) 2019-10-29
CN110392549B true CN110392549B (zh) 2022-02-11

Family

ID=64016241

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201880016157.XA Active CN110392549B (zh) 2017-05-03 2018-04-23 确定引起期望行为的大脑刺激的系统、方法和介质

Country Status (3)

Country Link
EP (1) EP3618707A4 (de)
CN (1) CN110392549B (de)
WO (1) WO2018204119A1 (de)

Families Citing this family (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112244880B (zh) * 2020-09-24 2022-04-22 杭州电子科技大学 基于变尺度符号补偿传递熵的情绪诱导脑电信号分析方法
CN113229818A (zh) * 2021-01-26 2021-08-10 南京航空航天大学 一种基于脑电信号和迁移学习的跨被试人格预测系统
CN115335102B (zh) * 2021-02-08 2024-06-04 张鸿勋 在大脑中产生反馈的方法、系统及大脑键盘
US12009660B1 (en) 2023-07-11 2024-06-11 T-Mobile Usa, Inc. Predicting space, power, and cooling capacity of a facility to optimize energy usage

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104955388A (zh) * 2012-11-13 2015-09-30 艾欧敏达有限公司 采用时空划分的神经生理学数据分析
WO2016200952A1 (en) * 2015-06-09 2016-12-15 Children's Medical Center Corporation Method and system for locating seizure focus from interictal data
CN106575380A (zh) * 2014-07-23 2017-04-19 赫尔实验室有限公司 用于分类的总体形式概念分析(fca)框架

Family Cites Families (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US6934580B1 (en) * 2002-07-20 2005-08-23 Flint Hills Scientific, L.L.C. Stimulation methodologies and apparatus for control of brain states
US9629568B2 (en) * 2010-01-06 2017-04-25 Evoke Neuroscience, Inc. Electrophysiology measurement and training and remote databased and data analysis measurement method and system
US9248296B2 (en) * 2012-08-28 2016-02-02 Boston Scientific Neuromodulation Corporation Point-and-click programming for deep brain stimulation using real-time monopolar review trendlines
US20140001949A1 (en) * 2012-06-29 2014-01-02 Nitto Denko Corporation Phosphor layer-covered led, producing method thereof, and led device
US9630005B2 (en) * 2013-08-27 2017-04-25 Halo Neuro, Inc. Method and system for providing electrical stimulation to a user
CN103845137B (zh) * 2014-03-19 2016-03-02 北京工业大学 基于稳态视觉诱发脑机接口的机器人控制方法
CA2857555A1 (en) * 2014-04-01 2015-10-01 William F. Stubbeman Method and system for therapeutic brain stimulation using electromagnetic pulses

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104955388A (zh) * 2012-11-13 2015-09-30 艾欧敏达有限公司 采用时空划分的神经生理学数据分析
CN106575380A (zh) * 2014-07-23 2017-04-19 赫尔实验室有限公司 用于分类的总体形式概念分析(fca)框架
WO2016200952A1 (en) * 2015-06-09 2016-12-15 Children's Medical Center Corporation Method and system for locating seizure focus from interictal data

Also Published As

Publication number Publication date
EP3618707A1 (de) 2020-03-11
EP3618707A4 (de) 2020-12-23
WO2018204119A1 (en) 2018-11-08
CN110392549A (zh) 2019-10-29

Similar Documents

Publication Publication Date Title
Thara et al. Auto-detection of epileptic seizure events using deep neural network with different feature scaling techniques
Albizu et al. Machine learning and individual variability in electric field characteristics predict tDCS treatment response
Satapathy et al. EEG signal classification using PSO trained RBF neural network for epilepsy identification
CN110392549B (zh) 确定引起期望行为的大脑刺激的系统、方法和介质
Brihadiswaran et al. EEG-based processing and classification methodologies for autism spectrum disorder: A review
Li et al. Clustering technique-based least square support vector machine for EEG signal classification
US10420937B2 (en) Method and apparatus to determine optimal brain stimulation to induce desired behavior
Li et al. Targeting EEG/LFP synchrony with neural nets
US8861815B2 (en) Systems and methods for modeling and processing functional magnetic resonance image data using full-brain vector auto-regressive model
US12016634B2 (en) Methods and apparatus for electromagnetic source imaging using deep neural networks
Wismüller et al. A framework for exploring non-linear functional connectivity and causality in the human brain: mutual connectivity analysis (mca) of resting-state functional MRI with convergent cross-mapping and non-metric clustering
Buscema et al. An improved I-FAST system for the diagnosis of Alzheimer's disease from unprocessed electroencephalograms by using robust invariant features
Juneja et al. A combination of singular value decomposition and multivariate feature selection method for diagnosis of schizophrenia using fMRI
Hansen et al. Unmixing oscillatory brain activity by EEG source localization and empirical mode decomposition
Hosseini Brain-computer interface for analyzing epileptic big data
Hanrahan Noise reduction in EEG signals using convolutional autoencoding techniques
O'Driscoll et al. SOM and MCODE methods of defining functional clusters in MRI of the brain
Bay et al. Survey of fuzzy logic applications in brain-related researches
Geyer et al. Interpretable visualization and higher-order dimension reduction for ECoG data
US20230293899A1 (en) System and method for precision dosing for electrical stimulation of the brain
Balasubramanian Automated classification of EEG signals using component analysis and support vector machines
Ehtemami et al. A survey of FMRI data analysis methods
Roy Examining dynamic functional relationships in a pathological brain using evolutionary computation
Meyer-Bäse et al. Tree-dependent and topographic independent component analysis for fmri analysis
Lazar et al. Fuzzy‐entropy threshold based on a complex wavelet denoising technique to diagnose Alzheimer disease

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant