SG11202107624YA - Identifying and extracting electroencephalogram signals - Google Patents

Identifying and extracting electroencephalogram signals

Info

Publication number
SG11202107624YA
SG11202107624YA SG11202107624YA SG11202107624YA SG11202107624YA SG 11202107624Y A SG11202107624Y A SG 11202107624YA SG 11202107624Y A SG11202107624Y A SG 11202107624YA SG 11202107624Y A SG11202107624Y A SG 11202107624YA SG 11202107624Y A SG11202107624Y A SG 11202107624YA
Authority
SG
Singapore
Prior art keywords
identifying
electroencephalogram signals
extracting electroencephalogram
extracting
signals
Prior art date
Application number
SG11202107624YA
Inventor
Kok Soon Phua
hai hong Zhang
su-yin Yang
Fong Ling Loy
Ka Yin Christina Tang
Soon Huat Ng
Chuan Chu Wang
Cuntai Guan
Soon Yin Tjan
Original Assignee
Agency Science Tech & Res
Tan Tock Seng Hospital Pte Ltd
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 Agency Science Tech & Res, Tan Tock Seng Hospital Pte Ltd filed Critical Agency Science Tech & Res
Publication of SG11202107624YA publication Critical patent/SG11202107624YA/en

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]
    • A61B5/372—Analysis of electroencephalograms
    • 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]
    • 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
    • A61B5/4824—Touch or pain perception evaluation
    • 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
    • G16H50/30—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for calculating health indices; for individual health risk assessment
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N20/00—Machine learning
    • G06N20/10—Machine learning using kernel methods, e.g. support vector machines [SVM]
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/08—Learning methods

Landscapes

  • Health & Medical Sciences (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Engineering & Computer Science (AREA)
  • Public Health (AREA)
  • Medical Informatics (AREA)
  • Physics & Mathematics (AREA)
  • Biomedical Technology (AREA)
  • Pathology (AREA)
  • General Health & Medical Sciences (AREA)
  • Animal Behavior & Ethology (AREA)
  • Artificial Intelligence (AREA)
  • Veterinary Medicine (AREA)
  • Biophysics (AREA)
  • Psychiatry (AREA)
  • Molecular Biology (AREA)
  • Heart & Thoracic Surgery (AREA)
  • Surgery (AREA)
  • Mathematical Physics (AREA)
  • Hospice & Palliative Care (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Signal Processing (AREA)
  • Fuzzy Systems (AREA)
  • Physiology (AREA)
  • Psychology (AREA)
  • Evolutionary Computation (AREA)
  • Pain & Pain Management (AREA)
  • Data Mining & Analysis (AREA)
  • Databases & Information Systems (AREA)
  • Epidemiology (AREA)
  • Primary Health Care (AREA)
  • Measurement And Recording Of Electrical Phenomena And Electrical Characteristics Of The Living Body (AREA)
SG11202107624YA 2019-03-29 2019-03-29 Identifying and extracting electroencephalogram signals SG11202107624YA (en)

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
PCT/SG2019/050184 WO2020204810A1 (en) 2019-03-29 2019-03-29 Identifying and extracting electroencephalogram signals

Publications (1)

Publication Number Publication Date
SG11202107624YA true SG11202107624YA (en) 2021-08-30

Family

ID=72667364

Family Applications (1)

Application Number Title Priority Date Filing Date
SG11202107624YA SG11202107624YA (en) 2019-03-29 2019-03-29 Identifying and extracting electroencephalogram signals

Country Status (5)

Country Link
US (1) US20220183611A1 (en)
EP (1) EP3948694A4 (en)
CN (1) CN113614751A (en)
SG (1) SG11202107624YA (en)
WO (1) WO2020204810A1 (en)

Families Citing this family (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113331839A (en) * 2021-05-28 2021-09-03 武汉科技大学 Network learning attention monitoring method and system based on multi-source information fusion
CN116392144B (en) * 2022-12-07 2023-11-24 天津大学 Brain signal acquisition system, method and medium
CN116831595B (en) * 2023-06-21 2024-04-12 中国人民解放军西部战区总医院 Pain grade assessment method

Family Cites Families (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US9402558B2 (en) * 2007-04-05 2016-08-02 New York University System and method for pain detection and computation of a pain quantification index
CA3062870A1 (en) * 2016-04-29 2017-11-02 Rhode Island Hospital Methods for detecting and treating pain using brain activity
CN106974621B (en) * 2017-03-16 2019-12-27 小菜儿成都信息科技有限公司 Visual induction motion sickness detection method based on electroencephalogram signal gravity center frequency
IN201721038783A (en) * 2017-11-01 2017-12-22

Also Published As

Publication number Publication date
EP3948694A4 (en) 2023-03-22
EP3948694A1 (en) 2022-02-09
WO2020204810A1 (en) 2020-10-08
US20220183611A1 (en) 2022-06-16
CN113614751A (en) 2021-11-05

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