AU2002951605A0 - Eeg-based fatigue detection - Google Patents

Eeg-based fatigue detection

Info

Publication number
AU2002951605A0
AU2002951605A0 AU2002951605A AU2002951605A AU2002951605A0 AU 2002951605 A0 AU2002951605 A0 AU 2002951605A0 AU 2002951605 A AU2002951605 A AU 2002951605A AU 2002951605 A AU2002951605 A AU 2002951605A AU 2002951605 A0 AU2002951605 A0 AU 2002951605A0
Authority
AU
Australia
Prior art keywords
eeg
fatigue detection
based fatigue
detection
fatigue
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.)
Abandoned
Application number
AU2002951605A
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.)
University of Technology Sydney
Original Assignee
Technology, University of
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 Technology, University of filed Critical Technology, University of
Priority to AU2002951605A priority Critical patent/AU2002951605A0/en
Publication of AU2002951605A0 publication Critical patent/AU2002951605A0/en
Priority to PCT/AU2003/001248 priority patent/WO2004028362A1/en
Priority to AU2003266812A priority patent/AU2003266812A1/en
Abandoned legal-status Critical Current

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
    • A61B5/374—Detecting the frequency distribution of signals, e.g. detecting delta, theta, alpha, beta or gamma waves

Landscapes

  • Health & Medical Sciences (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Biomedical Technology (AREA)
  • Heart & Thoracic Surgery (AREA)
  • Psychology (AREA)
  • Biophysics (AREA)
  • Pathology (AREA)
  • Engineering & Computer Science (AREA)
  • Psychiatry (AREA)
  • Physics & Mathematics (AREA)
  • Medical Informatics (AREA)
  • Molecular Biology (AREA)
  • Surgery (AREA)
  • Animal Behavior & Ethology (AREA)
  • General Health & Medical Sciences (AREA)
  • Public Health (AREA)
  • Veterinary Medicine (AREA)
  • Measurement Of The Respiration, Hearing Ability, Form, And Blood Characteristics Of Living Organisms (AREA)
AU2002951605A 2002-09-24 2002-09-24 Eeg-based fatigue detection Abandoned AU2002951605A0 (en)

Priority Applications (3)

Application Number Priority Date Filing Date Title
AU2002951605A AU2002951605A0 (en) 2002-09-24 2002-09-24 Eeg-based fatigue detection
PCT/AU2003/001248 WO2004028362A1 (en) 2002-09-24 2003-09-24 Eeg-based fatigue detection
AU2003266812A AU2003266812A1 (en) 2002-09-24 2003-09-24 Eeg-based fatigue detection

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
AU2002951605A AU2002951605A0 (en) 2002-09-24 2002-09-24 Eeg-based fatigue detection

Publications (1)

Publication Number Publication Date
AU2002951605A0 true AU2002951605A0 (en) 2002-10-10

Family

ID=28047360

Family Applications (1)

Application Number Title Priority Date Filing Date
AU2002951605A Abandoned AU2002951605A0 (en) 2002-09-24 2002-09-24 Eeg-based fatigue detection

Country Status (2)

Country Link
AU (1) AU2002951605A0 (en)
WO (1) WO2004028362A1 (en)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113509189A (en) * 2021-07-07 2021-10-19 科大讯飞股份有限公司 Learning state monitoring method and related equipment thereof

Families Citing this family (16)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2006096135A1 (en) * 2005-03-08 2006-09-14 National University Of Singapore A system and method for monitoring mental fatigue
CN101859473A (en) * 2009-04-07 2010-10-13 陈耕田 Fatigue driving early warning and automatic controlling device (machine)
EP2371286B1 (en) * 2009-10-29 2019-12-04 Panasonic Corporation Organism fatigue evaluation device and organism fatigue evaluation method
US9775545B2 (en) 2010-09-28 2017-10-03 Masimo Corporation Magnetic electrical connector for patient monitors
JP5710767B2 (en) 2010-09-28 2015-04-30 マシモ コーポレイション Depth of consciousness monitor including oximeter
US8731736B2 (en) 2011-02-22 2014-05-20 Honda Motor Co., Ltd. System and method for reducing driving skill atrophy
CN102184415B (en) * 2011-05-17 2013-01-02 重庆大学 Electroencephalographic-signal-based fatigue state recognizing method
CN102657526B (en) * 2012-04-23 2013-12-04 中国医学科学院生物医学工程研究所 Method for evaluating R value and power spectrums of electroencephalogram signals causing discomfort when people watch three-dimensional (3D) images
CN103606245B (en) * 2013-11-08 2015-11-18 北京工业大学 Fatigue driving based on Bluetooth brain wave earphone and Android mobile phone detects early warning system
US20150223743A1 (en) * 2014-02-12 2015-08-13 Wipro Limited Method for monitoring a health condition of a subject
CN103989471B (en) * 2014-05-08 2015-11-04 东北大学 A kind of method for detecting fatigue driving based on electroencephalogram identification
WO2016057553A1 (en) 2014-10-07 2016-04-14 Masimo Corporation Modular physiological sensors
CN104605866A (en) * 2015-01-21 2015-05-13 中煤科工集团西安研究院有限公司 Miner physiological and psychological fatigue monitoring method based on electroencephalogram detection
CN106504475B (en) * 2016-10-15 2019-05-10 北海益生源农贸有限责任公司 Method for detecting fatigue driving based on EEG signals
CN109820525A (en) * 2019-01-23 2019-05-31 五邑大学 A kind of driving fatigue recognition methods based on CNN-LSTM deep learning model
CN112450933B (en) * 2020-11-10 2022-09-20 东北电力大学 Driving fatigue monitoring method based on multiple types of characteristics of human body

Family Cites Families (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
FR2657443B1 (en) * 1990-01-24 1992-05-15 Blanchet Gerard ELECTRO-ENCEPHALOGRAPHIC SIGNAL PROCESSING METHOD AND APPARATUS.
US5813993A (en) * 1996-04-05 1998-09-29 Consolidated Research Of Richmond, Inc. Alertness and drowsiness detection and tracking system
US6157857A (en) * 1998-07-24 2000-12-05 Dimpfel; Wilfried Apparatus for determining sleep staging
US6434419B1 (en) * 2000-06-26 2002-08-13 Sam Technology, Inc. Neurocognitive ability EEG measurement method and system

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113509189A (en) * 2021-07-07 2021-10-19 科大讯飞股份有限公司 Learning state monitoring method and related equipment thereof

Also Published As

Publication number Publication date
WO2004028362A1 (en) 2004-04-08

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