BRPI0608448A2 - método e um sistema para avaliar condições neurológicas - Google Patents

método e um sistema para avaliar condições neurológicas

Info

Publication number
BRPI0608448A2
BRPI0608448A2 BRPI0608448-6A BRPI0608448A BRPI0608448A2 BR PI0608448 A2 BRPI0608448 A2 BR PI0608448A2 BR PI0608448 A BRPI0608448 A BR PI0608448A BR PI0608448 A2 BRPI0608448 A2 BR PI0608448A2
Authority
BR
Brazil
Prior art keywords
patient
biosignal
data
priori
probe compound
Prior art date
Application number
BRPI0608448-6A
Other languages
English (en)
Inventor
Kristinn Johnsen
Gisli Holmar Johannesson
Steinn Gudmundsson
Johannes Helgason
Original Assignee
Mentis Cura Ehf
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 Mentis Cura Ehf filed Critical Mentis Cura Ehf
Publication of BRPI0608448A2 publication Critical patent/BRPI0608448A2/pt

Links

Classifications

    • 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]
    • A61B5/377—Electroencephalography [EEG] using evoked responses
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/40—Detecting, measuring or recording for evaluating the nervous system
    • A61B5/4076—Diagnosing or monitoring particular conditions of the nervous system
    • A61B5/4088—Diagnosing of monitoring cognitive diseases, e.g. Alzheimer, prion diseases or dementia
    • 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
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
    • G16H50/50—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for simulation or modelling of medical disorders
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B6/00—Apparatus or devices for radiation diagnosis; Apparatus or devices for radiation diagnosis combined with radiation therapy equipment
    • A61B6/02—Arrangements for diagnosis sequentially in different planes; Stereoscopic radiation diagnosis
    • A61B6/03—Computed tomography [CT]

Landscapes

  • Health & Medical Sciences (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Engineering & Computer Science (AREA)
  • Public Health (AREA)
  • Medical Informatics (AREA)
  • General Health & Medical Sciences (AREA)
  • Pathology (AREA)
  • Physics & Mathematics (AREA)
  • Biomedical Technology (AREA)
  • Surgery (AREA)
  • Heart & Thoracic Surgery (AREA)
  • Molecular Biology (AREA)
  • Animal Behavior & Ethology (AREA)
  • Biophysics (AREA)
  • Veterinary Medicine (AREA)
  • Artificial Intelligence (AREA)
  • Psychiatry (AREA)
  • Neurology (AREA)
  • Psychology (AREA)
  • Physiology (AREA)
  • Evolutionary Computation (AREA)
  • Developmental Disabilities (AREA)
  • Mathematical Physics (AREA)
  • Signal Processing (AREA)
  • Data Mining & Analysis (AREA)
  • Databases & Information Systems (AREA)
  • Epidemiology (AREA)
  • Primary Health Care (AREA)
  • Child & Adolescent Psychology (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Hospice & Palliative Care (AREA)
  • Fuzzy Systems (AREA)
  • Neurosurgery (AREA)
  • Medicines That Contain Protein Lipid Enzymes And Other Medicines (AREA)
  • Investigating Or Analysing Biological Materials (AREA)
  • Measurement Of The Respiration, Hearing Ability, Form, And Blood Characteristics Of Living Organisms (AREA)
  • Medicines Containing Antibodies Or Antigens For Use As Internal Diagnostic Agents (AREA)
  • Magnetic Resonance Imaging Apparatus (AREA)

Abstract

MéTODO E UM SISTEMA PARA AVALIAR CONDIçõES NEUROLOGICAS. A presente invenção refere-se a um método e um sistema para gerar um sinal discriminatório para uma condição neurológica, onde pelo menos um composto de sonda que tem um efeito neurofisiológico é fornecido. Dados de biossinal são obtidos de um paciente com base em medições de biossinal obtidas a partir do dispositivo de medição de biossinal adaptado para a colocação em um paciente, em que os ditos dados de biossinal são obtidos posterior à administração do dito composto de sonda ao paciente. Dados de referência de biossinal análogos são fornecidos para pacientes de referência em pelo menos um grupo de referência posterior à administração do composto de sonda, em que os dados de referência são utilizados para definir características de referência tendo características comuns entre os pacientes de referência em o pelo menos um grupo de referência, em que os dados de referência são processados para definir vetores de probabilidade a priori de referência para cada paciente de referência respectivo, em que cada vetor de probabilidade a priori respectivo compreende característica particular ou uma combinação de características de elementos com valores de probabilidade associados aos ditos elementos, os vetores de probabilidade a priori resultando em uma distribuição das ditas características ou combinações de características para os ditos pacientes de referência. Subseqúentemente, os dados de biossinal obtidos do paciente são usados para calcular o vetor de probabilidade a priori análogo para o dito paciente. O sinal discriminatório depois é gerado com base na comparação entre o dito vetor de probabilidade a priori para o dito paciente e a distribuição das ditas características ou combinações de características.
BRPI0608448-6A 2005-03-04 2006-03-03 método e um sistema para avaliar condições neurológicas BRPI0608448A2 (pt)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
IS7727 2005-03-04
PCT/EP2006/002157 WO2006094797A1 (en) 2005-03-04 2006-03-03 A method and a system for assessing neurological conditions

Publications (1)

Publication Number Publication Date
BRPI0608448A2 true BRPI0608448A2 (pt) 2009-12-29

Family

ID=36530018

Family Applications (1)

Application Number Title Priority Date Filing Date
BRPI0608448-6A BRPI0608448A2 (pt) 2005-03-04 2006-03-03 método e um sistema para avaliar condições neurológicas

Country Status (9)

Country Link
US (1) US20090220429A1 (pt)
EP (1) EP1861003A1 (pt)
JP (1) JP2008531158A (pt)
CN (1) CN101155548A (pt)
BR (1) BRPI0608448A2 (pt)
CA (1) CA2603913A1 (pt)
NO (1) NO20074590L (pt)
RU (1) RU2007135627A (pt)
WO (1) WO2006094797A1 (pt)

Families Citing this family (58)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20180146879A9 (en) * 2004-08-30 2018-05-31 Kalford C. Fadem Biopotential Waveform Data Fusion Analysis and Classification Method
US20100217145A1 (en) * 2006-06-09 2010-08-26 Bracco Spa Method of processing multichannel and multivariate signals and method of classifying sources of multichannel and multivariate signals operating according to such processing method
JP2010528744A (ja) * 2007-06-07 2010-08-26 メンティス キュラ イーエイチエフ． 病状の重症度を反映した定量的測定を生成するシステム及び方法
SG177937A1 (en) * 2008-03-26 2012-02-28 Theranos Inc Methods and systems for assessing clinical outcomes
US9202140B2 (en) * 2008-09-05 2015-12-01 Siemens Medical Solutions Usa, Inc. Quotient appearance manifold mapping for image classification
JP5252345B2 (ja) * 2008-09-30 2013-07-31 国立大学法人金沢大学 レビー小体型認知症の判定方法、判定装置並びにプログラム
US20110112426A1 (en) * 2009-11-10 2011-05-12 Brainscope Company, Inc. Brain Activity as a Marker of Disease
US8579812B2 (en) * 2009-12-15 2013-11-12 Brainscope Company, Inc. System and methods for management of disease over time
US8577451B2 (en) * 2009-12-16 2013-11-05 Brainscope Company, Inc. System and methods for neurologic monitoring and improving classification and treatment of neurologic states
CN102906752B (zh) * 2010-01-18 2017-09-01 艾欧敏达有限公司 用于神经生理学数据的加权分析的方法和系统
US8706668B2 (en) * 2010-06-02 2014-04-22 Nec Laboratories America, Inc. Feature set embedding for incomplete data
JP5614599B2 (ja) * 2010-12-06 2014-10-29 国立大学法人 岡山大学 認知症の発症の有無を確認するための方法及び装置
US10238329B2 (en) 2010-12-17 2019-03-26 The Trustees Of Columbia University In The City Of New York Apparatus, method and computer-accessible medium for diagnosing and subtyping psychiatric diseases
RU2678364C2 (ru) 2011-07-20 2019-01-28 Элминда Лтд. Способ и система оценки сотрясения головного мозга
US20130109995A1 (en) * 2011-10-28 2013-05-02 Neil S. Rothman Method of building classifiers for real-time classification of neurological states
US9269046B2 (en) * 2012-01-18 2016-02-23 Brainscope Company, Inc. Method and device for multimodal neurological evaluation
US9510756B2 (en) * 2012-03-05 2016-12-06 Siemens Healthcare Gmbh Method and system for diagnosis of attention deficit hyperactivity disorder from magnetic resonance images
CN102715890A (zh) * 2012-07-10 2012-10-10 崔德华 一种基于角度辨别筛查诊断早期老年痴呆症的装置
GB201212544D0 (en) * 2012-07-13 2012-08-29 Univ York Device to determine extent of dyskinesia
US10606353B2 (en) 2012-09-14 2020-03-31 Interaxon Inc. Systems and methods for collecting, analyzing, and sharing bio-signal and non-bio-signal data
EP3865056B1 (en) 2012-09-14 2025-11-05 InteraXon Inc. Systems and methods for collecting, analyzing, and sharing bio-signal and non-bio-signal data
WO2014076698A1 (en) 2012-11-13 2014-05-22 Elminda Ltd. Neurophysiological data analysis using spatiotemporal parcellation
US20150351657A1 (en) * 2013-01-17 2015-12-10 Sensodetect Ab Method And System For Monitoring Depth Of Anaesthesia And Sensory Functioning
WO2014158921A1 (en) * 2013-03-14 2014-10-02 Persyst Development Corporation Method and system to calculate qeeg
US20140358025A1 (en) * 2013-05-29 2014-12-04 Keshab K. Parhi System and apparatus for seizure detection from EEG signals
US9713433B2 (en) 2013-11-13 2017-07-25 Elminda Ltd. Method and system for managing pain
US11257593B2 (en) 2014-01-29 2022-02-22 Umethod Health, Inc. Interactive and analytical system that provides a dynamic tool for therapies to prevent and cure dementia-related diseases
CN105095901B (zh) * 2014-04-30 2019-04-12 西门子医疗保健诊断公司 用于处理尿液沉渣图像的待处理区块的方法和装置
US11006848B2 (en) 2015-01-16 2021-05-18 Puneet Agarwal System and method to diagnose and predict different systemic disorders and mental states
US10702208B2 (en) 2015-03-31 2020-07-07 Cerenion Oy Apparatus and method for electroencephalographic examination
JP7240789B2 (ja) * 2015-12-04 2023-03-16 ユニバーシティー オブ アイオワ リサーチ ファンデーション 脳症／せん妄のスクリーニングおよびモニタリングのためのシステム
CN105534977A (zh) * 2016-01-14 2016-05-04 山东大学 T型钙离子通道抑制剂nnc55-0396在制备抗神经退行性疾病药物中的应用
CN105559779A (zh) * 2016-03-01 2016-05-11 夏鹏 一种通过脑电频谱进行认知评价的方法
WO2017153906A2 (en) * 2016-03-10 2017-09-14 RG Innovations PTE LTD. Pseudo-conductive high-electron mobility transistors and microelectronic sensors based on them
US11198018B2 (en) 2016-09-27 2021-12-14 Mor Research Applications Ltd. EEG microstates for controlling neurological treatment
WO2019064136A1 (en) * 2017-09-27 2019-04-04 Mor Research Applications Ltd. Eeg microstates analysis
US12042293B2 (en) 2016-09-27 2024-07-23 Mor Research Applications Ltd. EEG microstates analysis
KR101841716B1 (ko) 2016-10-13 2018-03-23 광주과학기술원 Svm을 이용하여 쇼크 가능한 리듬과 쇼크불가능한 리듬을 분류하는 방법
US10357217B2 (en) * 2016-10-18 2019-07-23 The Regents Of The University Of California Method for positron emission tomography (PET) imaging analysis for classifying and diagnosing of neurological diseases
EP3684463B1 (en) 2017-09-19 2025-05-14 Neuroenhancement Lab, LLC Method and apparatus for neuroenhancement
JP6722845B2 (ja) * 2017-10-03 2020-07-15 株式会社国際電気通信基礎技術研究所 判別装置、うつ症状の判別方法、うつ症状のレベルの判定方法、うつ病患者の層別化方法、うつ症状の治療効果の判定方法及び脳活動訓練装置
US11717686B2 (en) 2017-12-04 2023-08-08 Neuroenhancement Lab, LLC Method and apparatus for neuroenhancement to facilitate learning and performance
DK3505157T3 (da) 2017-12-29 2022-02-28 Celon Pharma Sa Tørpulver-ketaminsammensætning til pulmonal indgivelse ved behandlingsresistent depression
US11318277B2 (en) 2017-12-31 2022-05-03 Neuroenhancement Lab, LLC Method and apparatus for neuroenhancement to enhance emotional response
US12280219B2 (en) 2017-12-31 2025-04-22 NeuroLight, Inc. Method and apparatus for neuroenhancement to enhance emotional response
US11364361B2 (en) 2018-04-20 2022-06-21 Neuroenhancement Lab, LLC System and method for inducing sleep by transplanting mental states
US11452839B2 (en) 2018-09-14 2022-09-27 Neuroenhancement Lab, LLC System and method of improving sleep
US11786694B2 (en) 2019-05-24 2023-10-17 NeuroLight, Inc. Device, method, and app for facilitating sleep
CN110292377B (zh) * 2019-06-10 2022-04-01 东南大学 基于瞬时频率和功率谱熵融合特征的脑电信号分析方法
CN114786564B (zh) * 2019-08-30 2025-02-18 橙曦科技股份有限公司 实时疼痛检测及疼痛管理系统
CN112568912B (zh) * 2019-09-12 2024-05-14 江西盛梦科技有限公司 一种基于非侵入式脑电信号的抑郁症生物标记物辨识方法
CN111568414B (zh) * 2020-05-22 2022-05-10 中国人民解放军东部战区总医院 基于功能影像学的癫痫活动检测方法及系统
WO2021237429A1 (en) * 2020-05-25 2021-12-02 Center For Excellence In Brain Science And Intelligence Technology, Chinese Academy Of Sciences A systematic device and scheme to assess the level of consciousness disorder by using language related brain activity
US11250723B1 (en) * 2020-11-04 2022-02-15 King Abdulaziz University Visuospatial disorders detection in dementia using a computer-generated environment based on voting approach of machine learning algorithms
CN112674762A (zh) * 2020-12-28 2021-04-20 江苏省省级机关医院 一种基于可穿戴惯性传感器的帕金森震颤评估装置
CN112603335B (zh) * 2020-12-29 2023-10-17 深圳航天科技创新研究院 脑电情感识别方法、系统、设备及存储介质
CN113143275B (zh) * 2021-03-24 2022-04-26 杭州电子科技大学 一种样本与特征质量联合量化评估的脑电疲劳检测方法
WO2025147606A1 (en) * 2024-01-04 2025-07-10 Pfizer Inc. Digital migraine management system

Family Cites Families (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5083571A (en) * 1988-04-18 1992-01-28 New York University Use of brain electrophysiological quantitative data to classify and subtype an individual into diagnostic categories by discriminant and cluster analysis
US5230346A (en) * 1992-02-04 1993-07-27 The Regents Of The University Of California Diagnosing brain conditions by quantitative electroencephalography
US6622036B1 (en) * 2000-02-09 2003-09-16 Cns Response Method for classifying and treating physiologic brain imbalances using quantitative EEG
AU2003206411B2 (en) * 2002-01-04 2008-10-23 Covidien Lp System and method of assessment of neurological conditions using EEG bispectrum
US20050144042A1 (en) * 2002-02-19 2005-06-30 David Joffe Associated systems and methods for managing biological data and providing data interpretation tools
JP2005527884A (ja) * 2002-02-19 2005-09-15 レキシコル メディカル テクノロジー インコーポレイテッド 生物学的データ管理およびデータ解析ツール提供用のシステムおよび方法

Also Published As

Publication number Publication date
RU2007135627A (ru) 2009-04-10
WO2006094797A1 (en) 2006-09-14
JP2008531158A (ja) 2008-08-14
EP1861003A1 (en) 2007-12-05
CA2603913A1 (en) 2006-09-14
CN101155548A (zh) 2008-04-02
US20090220429A1 (en) 2009-09-03
NO20074590L (no) 2007-12-03

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B08F Application dismissed because of non-payment of annual fees [chapter 8.6 patent gazette]

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B08K Patent lapsed as no evidence of payment of the annual fee has been furnished to inpi [chapter 8.11 patent gazette]

Free format text: REFERENTE AO DESPACHO 8.6 PUBLICADO NA RPI 2161 DE 05/06/2012.