ATE464616T1 - Biopotential-signalform-datenfusionsanalyse- und klassifikationsverfahren - Google Patents

Biopotential-signalform-datenfusionsanalyse- und klassifikationsverfahren

Info

Publication number
ATE464616T1
ATE464616T1 AT05792505T AT05792505T ATE464616T1 AT E464616 T1 ATE464616 T1 AT E464616T1 AT 05792505 T AT05792505 T AT 05792505T AT 05792505 T AT05792505 T AT 05792505T AT E464616 T1 ATE464616 T1 AT E464616T1
Authority
AT
Austria
Prior art keywords
classification
classifiers
univariate
channels
decision fusion
Prior art date
Application number
AT05792505T
Other languages
English (en)
Inventor
Lalitmore Gupta
Kalford Fadem
Original Assignee
Southern Illinois University C
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 Southern Illinois University C filed Critical Southern Illinois University C
Application granted granted Critical
Publication of ATE464616T1 publication Critical patent/ATE464616T1/de

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Classifications

    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/16Devices for psychotechnics; Testing reaction times ; Devices for evaluating the psychological state
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/24Detecting, measuring or recording bioelectric or biomagnetic signals of the body or parts thereof
    • A61B5/316Modalities, i.e. specific diagnostic methods
    • A61B5/369Electroencephalography [EEG]
    • A61B5/377Electroencephalography [EEG] using evoked responses
    • A61B5/378Visual stimuli
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/24Detecting, measuring or recording bioelectric or biomagnetic signals of the body or parts thereof
    • A61B5/316Modalities, i.e. specific diagnostic methods
    • A61B5/369Electroencephalography [EEG]
    • A61B5/377Electroencephalography [EEG] using evoked responses
    • A61B5/38Acoustic or auditory stimuli
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/72Signal processing specially adapted for physiological signals or for diagnostic purposes
    • A61B5/7235Details of waveform analysis
    • A61B5/7264Classification of physiological signals or data, e.g. using neural networks, statistical classifiers, expert systems or fuzzy systems
    • A61B5/7267Classification of physiological signals or data, e.g. using neural networks, statistical classifiers, expert systems or fuzzy systems involving training the classification device
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00Pattern recognition
    • G06F18/20Analysing
    • G06F18/25Fusion techniques
    • G06F18/254Fusion techniques of classification results, e.g. of results related to same input data
    • G06F18/256Fusion techniques of classification results, e.g. of results related to same input data of results relating to different input data, e.g. multimodal recognition
    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H50/00ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
    • G16H50/70ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for mining of medical data, e.g. analysing previous cases of other patients

Landscapes

  • Health & Medical Sciences (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Biophysics (AREA)
  • General Health & Medical Sciences (AREA)
  • Veterinary Medicine (AREA)
  • Public Health (AREA)
  • Animal Behavior & Ethology (AREA)
  • Psychiatry (AREA)
  • Surgery (AREA)
  • Molecular Biology (AREA)
  • Medical Informatics (AREA)
  • Pathology (AREA)
  • Biomedical Technology (AREA)
  • Heart & Thoracic Surgery (AREA)
  • Psychology (AREA)
  • Artificial Intelligence (AREA)
  • Evolutionary Computation (AREA)
  • Social Psychology (AREA)
  • Data Mining & Analysis (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Theoretical Computer Science (AREA)
  • Child & Adolescent Psychology (AREA)
  • Developmental Disabilities (AREA)
  • Educational Technology (AREA)
  • Hospice & Palliative Care (AREA)
  • Signal Processing (AREA)
  • Physiology (AREA)
  • Mathematical Physics (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • Evolutionary Biology (AREA)
  • General Engineering & Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Fuzzy Systems (AREA)
  • Acoustics & Sound (AREA)
  • Measurement And Recording Of Electrical Phenomena And Electrical Characteristics Of The Living Body (AREA)
  • Investigating Or Analysing Biological Materials (AREA)
  • Medicines That Contain Protein Lipid Enzymes And Other Medicines (AREA)
AT05792505T 2004-08-30 2005-08-30 Biopotential-signalform-datenfusionsanalyse- und klassifikationsverfahren ATE464616T1 (de)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
US60563004P 2004-08-30 2004-08-30
PCT/US2005/030662 WO2006026548A1 (en) 2004-08-30 2005-08-30 Biopotential waveform data fusion analysis and classification method

Publications (1)

Publication Number Publication Date
ATE464616T1 true ATE464616T1 (de) 2010-04-15

Family

ID=35453371

Family Applications (1)

Application Number Title Priority Date Filing Date
AT05792505T ATE464616T1 (de) 2004-08-30 2005-08-30 Biopotential-signalform-datenfusionsanalyse- und klassifikationsverfahren

Country Status (6)

Country Link
EP (1) EP1789907B1 (de)
JP (1) JP2008517636A (de)
AT (1) ATE464616T1 (de)
AU (1) AU2005279954B2 (de)
DE (1) DE602005020649D1 (de)
WO (1) WO2006026548A1 (de)

Families Citing this family (34)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US9259164B2 (en) 2004-08-30 2016-02-16 Neuronetrix, Inc. Controller for neuromuscular testing
KR100866215B1 (ko) * 2006-12-20 2008-10-30 삼성전자주식회사 뇌파를 이용한 단말의 구동 방법 및 장치
US8463371B2 (en) * 2007-02-09 2013-06-11 Agency For Science, Technology And Research System and method for processing brain signals in a BCI system
WO2009126997A1 (en) * 2008-04-18 2009-10-22 Commonwealth Scientific And Industrial Research Organisation Hierarchical activity classification method and apparatus
JPWO2010029832A1 (ja) * 2008-09-10 2012-02-02 株式会社日立メディコ 生体光計測装置
AU2011299099B2 (en) 2010-09-10 2015-02-26 Neuronetrix Solutions, Llc Biomarker fusion system and method
WO2012145285A1 (en) 2011-04-20 2012-10-26 Brigham And Women's Hospital, Inc. System and method for acquiring patient physiological information during an mri scan
CN103190904B (zh) * 2013-04-03 2014-11-05 山东大学 基于缺项特征的脑电图分类检测装置
US10694968B2 (en) 2013-04-14 2020-06-30 Yissum Research Development Company Of The Hebrew University Of Jerusalem Ltd. Classifying EEG signals in response to visual stimulus
JP6087786B2 (ja) * 2013-10-22 2017-03-01 トヨタ自動車株式会社 随意運動識別装置
CN103623504A (zh) * 2013-12-10 2014-03-12 天津市鸣都科技发展有限公司 脑电语言障碍康复设备
CN104127179B (zh) * 2014-04-13 2016-04-06 北京工业大学 一种优势电极组合与经验模式分解的脑电特征提取方法
WO2016118578A1 (en) * 2015-01-20 2016-07-28 Northwestern University Systems and methods to derive models to evaluate behavior outcomes based on brain responses to complex sounds
KR101904431B1 (ko) 2016-01-26 2018-10-08 (주)피지오랩 디지털 생체전기신호 센서 시스템
US10588536B2 (en) 2016-02-04 2020-03-17 Northwestern University Methods and systems for identifying non-penetrating brain injuries
CN105962889A (zh) * 2016-04-13 2016-09-28 王菊 神经内科用肌无力检查装置
KR101870758B1 (ko) * 2016-10-13 2018-06-26 (주)로임시스템 생체신호 간 간섭 식별 생체신호 검출장치
WO2018093181A1 (ko) * 2016-11-16 2018-05-24 삼성전자 주식회사 전자 장치 및 그 제어 방법
KR20180055660A (ko) 2016-11-16 2018-05-25 삼성전자주식회사 전자 장치 및 그 제어 방법
CN108078563A (zh) * 2017-01-11 2018-05-29 浙江师范大学 一种集成分类器的eeg信号分析方法
GB2560339B (en) * 2017-03-07 2020-06-03 Transf Ai Ltd Prediction of cardiac events
US20190021649A1 (en) * 2017-07-24 2019-01-24 Mike Van Snellenberg Device for non-invasive detection of skin problems associated with diabetes mellitus
JP7336755B2 (ja) * 2017-07-28 2023-09-01 パナソニックIpマネジメント株式会社 データ生成装置、生体データ計測システム、識別器生成装置、データ生成方法、識別器生成方法及びプログラム
JP7069716B2 (ja) 2017-12-28 2022-05-18 株式会社リコー 生体機能計測解析システム、生体機能計測解析プログラム及び生体機能計測解析方法
EP3923816A4 (de) 2019-02-15 2022-12-14 NovaSignal Corp. Kategorisierung von wellenformmorphologien
CN110811548A (zh) * 2019-10-09 2020-02-21 深圳大学 一种记忆状态评估方法、系统、装置及存储介质
EP3827744B1 (de) 2019-11-28 2024-08-14 Sivantos Pte. Ltd. Verfahren zur schätzung einer systemantwort des gehirns eines individuellen hörers auf einen schallsignalstimulus
CN113384277B (zh) * 2020-02-26 2022-09-20 京东方科技集团股份有限公司 心电数据的分类方法及分类系统
CN111466909A (zh) * 2020-04-14 2020-07-31 清华大学 基于脑电特征的目标检测方法和系统
CN112036229B (zh) * 2020-06-24 2024-04-19 宿州小马电子商务有限公司 一种具备需求感知功能的智能童车脑电信号通道配置方法
CN112022140B (zh) * 2020-07-03 2023-02-17 上海数创医疗科技有限公司 一种心电图的诊断结论自动诊断方法及系统
CN114298230B (zh) * 2021-12-29 2024-08-02 福州大学 一种基于表面肌电信号的下肢运动识别方法及系统
CN115177251B (zh) * 2022-06-24 2025-09-30 南方医科大学 基于心跳诱发电位的心理压力监测方法及装置
CN118643351B (zh) * 2024-08-15 2024-10-22 深圳市智慧城市科技发展集团有限公司 模拟数据的生成方法、终端设备及可读存储介质

Family Cites Families (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US4860216A (en) * 1986-11-13 1989-08-22 The United States Of America As Represented By The Secretary Of The Air Force Communication adaptive multi-sensor system
US5458117A (en) * 1991-10-25 1995-10-17 Aspect Medical Systems, Inc. Cerebral biopotential analysis system and method
US5661666A (en) * 1992-11-06 1997-08-26 The United States Of America As Represented By The Secretary Of The Navy Constant false probability data fusion system

Also Published As

Publication number Publication date
EP1789907A1 (de) 2007-05-30
AU2005279954A1 (en) 2006-03-09
AU2005279954B2 (en) 2010-09-09
DE602005020649D1 (de) 2010-05-27
JP2008517636A (ja) 2008-05-29
EP1789907B1 (de) 2010-04-14
WO2006026548A1 (en) 2006-03-09

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