WO2009087486A2 - Réduction de bruit d'un biocapteur - Google Patents

Réduction de bruit d'un biocapteur Download PDF

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Publication number
WO2009087486A2
WO2009087486A2 PCT/IB2008/003960 IB2008003960W WO2009087486A2 WO 2009087486 A2 WO2009087486 A2 WO 2009087486A2 IB 2008003960 W IB2008003960 W IB 2008003960W WO 2009087486 A2 WO2009087486 A2 WO 2009087486A2
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WO
WIPO (PCT)
Prior art keywords
signal
electrodes
signals
electrode
user
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.)
Ceased
Application number
PCT/IB2008/003960
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English (en)
Other versions
WO2009087486A3 (fr
Inventor
Emir Delic
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.)
Emotiv Systems Pty Ltd
Original Assignee
Emotiv Systems Pty 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 Emotiv Systems Pty Ltd filed Critical Emotiv Systems Pty Ltd
Publication of WO2009087486A2 publication Critical patent/WO2009087486A2/fr
Publication of WO2009087486A3 publication Critical patent/WO2009087486A3/fr
Anticipated expiration legal-status Critical
Ceased legal-status Critical Current

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Classifications

    • 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
    • A61B5/68—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient
    • A61B5/6801—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient specially adapted to be attached to or worn on the body surface
    • A61B5/6813—Specially adapted to be attached to a specific body part
    • A61B5/6814—Head
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
    • G06F3/01—Input arrangements or combined input and output arrangements for interaction between user and computer
    • G06F3/011—Arrangements for interaction with the human body, e.g. for user immersion in virtual reality
    • G06F3/015—Input arrangements based on nervous system activity detection, e.g. brain waves [EEG] detection, electromyograms [EMG] detection, electrodermal response detection
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B2560/00—Constructional details of operational features of apparatus; Accessories for medical measuring apparatus
    • A61B2560/02—Operational features
    • A61B2560/0223—Operational features of calibration, e.g. protocols for calibrating sensors
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B2560/00—Constructional details of operational features of apparatus; Accessories for medical measuring apparatus
    • A61B2560/02—Operational features
    • A61B2560/0242—Operational features adapted to measure environmental factors, e.g. temperature, pollution
    • 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
    • A61B5/7203—Signal processing specially adapted for physiological signals or for diagnostic purposes for noise prevention, reduction or removal
    • A61B5/7207—Signal processing specially adapted for physiological signals or for diagnostic purposes for noise prevention, reduction or removal of noise induced by motion artifacts
    • A61B5/721—Signal processing specially adapted for physiological signals or for diagnostic purposes for noise prevention, reduction or removal of noise induced by motion artifacts using a separate sensor to detect motion or using motion information derived from signals other than the physiological signal to be measured

Definitions

  • This disclosure relates generally to interaction with machines using bio- sensing.
  • a conventional apparatus for applying electrodes to a subject's head includes a flexible cap that covers the subject's entire scalp and includes a strap beneath the chin, so that the cap may be snugly secured to the subject's head.
  • This type of apparatus is typically used in a clinical setting and can include over 100 electrodes for some applications.
  • the portion of the second signal subtracted from the first signal may generate a third signal, and a correlation between the third signal and the second signal may be determined, and a portion of the second signal may be subtracted from the third signal.
  • a mental state may be detected using an output form the subtraction of the second signal from the first signal.
  • an electroencephalograph (EEG) monitoring system includes a headset to be worn on a user's head, a first electrode supported on the headset to contact the user's scalp when the headset is worn, and a second electrode supported on the headset and configured not to contact the user's skin when the headset is worn, and circuitry configured to subtract the second signal from the first signal.
  • EEG electroencephalograph
  • Biosignals particularly EEG signals
  • FIG. 1 is a schematic representation of an example signal acquisition system.
  • FIG. IA is a schematic representation of a noise compensation system for the signal acquisition system.
  • FIG. 2 is a side view of an example headset on a subject's head.
  • FIG. 3 A is a schematic representation of an implementation of a noise compensation system.
  • FIG. 3B is a schematic representation of an electrode interface.
  • FIG. 4A is a schematic representation of another implementation of a noise compensation system.
  • FIG. 4B is a flow chart illustrating a method performed by noise compensation software.
  • FIG. 5 A is a graph illustrating a scaled reference signal, an EEG signal, and a difference between the EEG signal and the scaled reference signal as a function of time.
  • FIG. 5B is a graph illustrating a scaled reference signal, an EEG signal, and a difference between the EEG signal and the scaled reference signal as a function of time.
  • the neuro-physio logical signal acquisition device 102 detects bio-signals from the subject, and the state detection engine 114 implements one or more detection algorithms that convert these bio-signals into signals representing the presence (and optionally intensity) of particular states in the subject.
  • the system additionally includes a noise compensation system 40 with one or more sensors 42 to detect external noise, e.g., common mode noise, e.g., noise generated by electronic equipment or moving objects or people in the vicinity of the headset.
  • the noise compensation system 40 subtracts the sensed external noise from the signals from the contact electrodes 103 before the biosignals are analyzed by the state detection engine 114.
  • the neuro-physiological signal acquisition device 102 includes multiple contact electrodes 103 which, when the headset is properly placed on the subject's head, electrically contact the subject's scalp 10 at predetermined locations to measure EEG signals. It should be noted, however, that the EEG signals measured and used by the system 10 can include signals outside the frequency range, e.g., 0.3-80 Hz, that is customarily recorded for EEG.
  • the neuro-physiological signal acquisition device [0034] Referring to FIGS. 1 and IA, the neuro-physiological signal acquisition device
  • the processor unit 114 can be in a dedicated processor unit that is separate from the platform 150 running the application 152.
  • the processor unit can includes the wireless receiver to receive data from the headset assembly.
  • the processor unit can be connected to the platform 150 by a wired or wireless connection, such as a cable that connects to a USB input of the platform 150.
  • the state detection engine 114 can be software running on the same processor as the application 152.
  • Various components can be moved onto or off the headset assembly.
  • the buffer 108 could be eliminated or replaced by a multiplexer (MUX), and the data stored directly in the memory of the processing system.
  • a MUX could be placed before the A/D converter stage so that only a single A/D converter is needed.
  • each EEG electrode having an associated reference electrode there can be fewer reference electrodes than EEG electrodes, in which case the signal from the nearest reference sensor can subtracted by the software from the EEG signal.
  • the noise reduction software 60 is illustrated as running on the processor 109 in the headset assembly 100, the noise cancellation could be performed by a processor at another location, such as the processor that runs the signal detection algorithms 114, or in a processor that is separate from but connected to, e.g., by a wired or wireless connection, the processors running the application 152 and/or signal detection algorithms 114.
  • Embodiments of the invention and all of the functional operations described in this specification can be implemented in digital electronic circuitry, or in computer software, firmware, or hardware, including the structural means disclosed in this specification and structural equivalents thereof, or in combinations of them.
  • Embodiments of the invention can be implemented as one or more computer program products, i.e., one or more computer programs tangibly embodied in an information carrier, e.g., in a machine readable storage device or in a propagated signal, for execution by, or to control the operation of, data processing apparatus, e.g., a programmable processor, a computer, or multiple processors or computers.

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  • Health & Medical Sciences (AREA)
  • Engineering & Computer Science (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Physics & Mathematics (AREA)
  • Biomedical Technology (AREA)
  • General Health & Medical Sciences (AREA)
  • Pathology (AREA)
  • Heart & Thoracic Surgery (AREA)
  • Veterinary Medicine (AREA)
  • Public Health (AREA)
  • Animal Behavior & Ethology (AREA)
  • Theoretical Computer Science (AREA)
  • Psychiatry (AREA)
  • Surgery (AREA)
  • Molecular Biology (AREA)
  • Medical Informatics (AREA)
  • General Engineering & Computer Science (AREA)
  • Biophysics (AREA)
  • Social Psychology (AREA)
  • Neurology (AREA)
  • Psychology (AREA)
  • Dermatology (AREA)
  • Hospice & Palliative Care (AREA)
  • Educational Technology (AREA)
  • Developmental Disabilities (AREA)
  • Child & Adolescent Psychology (AREA)
  • General Physics & Mathematics (AREA)
  • Neurosurgery (AREA)
  • Human Computer Interaction (AREA)
  • Measurement And Recording Of Electrical Phenomena And Electrical Characteristics Of The Living Body (AREA)

Abstract

L'invention porte sur un procédé destiné à mesurer les signaux d'électroencéphalogramme (EEG) d'un utilisateur. Le procédé consiste à générer un premier signal à partir d'une première électrode qui est en contact avec le cuir chevelu de l'utilisateur; à générer un second signal à partir d'une seconde électrode située à proximité de la tête de l'utilisateur sans être en contact avec la peau de l'utilisateur; et à soustraire du premier signal au moins une partie du second.
PCT/IB2008/003960 2007-12-31 2008-12-30 Réduction de bruit d'un biocapteur Ceased WO2009087486A2 (fr)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
US1818207P 2007-12-31 2007-12-31
US61/018.182 2007-12-31

Publications (2)

Publication Number Publication Date
WO2009087486A2 true WO2009087486A2 (fr) 2009-07-16
WO2009087486A3 WO2009087486A3 (fr) 2009-10-22

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PCT/IB2008/003960 Ceased WO2009087486A2 (fr) 2007-12-31 2008-12-30 Réduction de bruit d'un biocapteur

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Cited By (13)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US9031631B2 (en) 2013-01-31 2015-05-12 The Hong Kong Polytechnic University Brain biofeedback device with radially adjustable electrodes
US9179854B2 (en) 2005-05-16 2015-11-10 Mark S. Doidge Three-dimensional localization, display, recording, and analysis of electrical activity in the cerebral cortex
CN106236080A (zh) * 2016-08-19 2016-12-21 合肥工业大学 基于多通道的脑电信号中肌电噪声的消除方法
EP3027110A4 (fr) * 2013-07-30 2017-06-28 Emotiv Lifesciences, Inc. Système pouvant être porté sur soi pour détecter et mesurer des biosignaux
EP3187110A1 (fr) 2015-12-30 2017-07-05 squipe GmbH Appareil permettant de détecter et de fournir des signaux du cerveau par utilisation d'électroencéphalographie
IT201700074576A1 (it) * 2017-07-04 2019-01-04 Luca Rastrelli Kit composto da una cuffia due bracciali e un driver
US10172560B2 (en) * 2012-08-24 2019-01-08 Cortec Gmbh Sensor means for detection of bioelectrical signals
WO2020201761A1 (fr) * 2019-04-02 2020-10-08 Emteq Limited Procédé et appareil permettant de mesurer une activité électrique biologique
US11847260B2 (en) 2015-03-02 2023-12-19 Emotiv Inc. System and method for embedded cognitive state metric system
US12036030B2 (en) 2011-08-02 2024-07-16 Emotiv Inc. Methods for modeling neurological development and diagnosing a neurological impairment of a patient
US12303296B2 (en) 2021-06-21 2025-05-20 Iowa State University Research Foundation, Inc. System and method for controlling physical systems using brain waves
US12502129B2 (en) 2015-08-05 2025-12-23 Emotiv Inc. Method and system for collecting and processing bioelectrical signals
US12593163B2 (en) 2015-08-05 2026-03-31 Emotiv Inc. Method and system for collecting and processing bioelectrical and audio signals

Families Citing this family (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104822105A (zh) * 2015-04-28 2015-08-05 成都腾悦科技有限公司 基于脑电波感应耳机的电脑实时交互系统
CN104850224A (zh) * 2015-04-28 2015-08-19 成都腾悦科技有限公司 一种基于便携式脑电波有线耳机的电脑实时交互系统

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US20020188216A1 (en) * 2001-05-03 2002-12-12 Kayyali Hani Akram Head mounted medical device
US7729740B2 (en) * 2004-04-15 2010-06-01 Los Alamos National Security, Llc Noise cancellation in magnetoencephalography and electroencephalography with isolated reference sensors
US20050277826A1 (en) * 2004-06-10 2005-12-15 Conopco, Inc. Apparatus and method for reducing interference
US20070106170A1 (en) * 2005-11-10 2007-05-10 Conopco, Inc., D/B/A Unilever Apparatus and method for acquiring a signal

Cited By (19)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US9179854B2 (en) 2005-05-16 2015-11-10 Mark S. Doidge Three-dimensional localization, display, recording, and analysis of electrical activity in the cerebral cortex
US12558017B2 (en) 2011-08-02 2026-02-24 Emotiv Inc. Methods for modeling neurological development and diagnosing a neurological impairment of a patient
US12036030B2 (en) 2011-08-02 2024-07-16 Emotiv Inc. Methods for modeling neurological development and diagnosing a neurological impairment of a patient
US10172560B2 (en) * 2012-08-24 2019-01-08 Cortec Gmbh Sensor means for detection of bioelectrical signals
US9031631B2 (en) 2013-01-31 2015-05-12 The Hong Kong Polytechnic University Brain biofeedback device with radially adjustable electrodes
US11974859B2 (en) 2013-07-30 2024-05-07 Emotiv Inc. Wearable system for detecting and measuring biosignals
US10028703B2 (en) 2013-07-30 2018-07-24 Emotiv, Inc. Wearable system for detecting and measuring biosignals
US10194865B2 (en) 2013-07-30 2019-02-05 Emotiv, Inc. Wearable system for detecting and measuring biosignals
US10806400B2 (en) 2013-07-30 2020-10-20 Emotiv Inc. Wearable system for detecting and measuring biosignals
EP3027110A4 (fr) * 2013-07-30 2017-06-28 Emotiv Lifesciences, Inc. Système pouvant être porté sur soi pour détecter et mesurer des biosignaux
US12461595B2 (en) 2015-03-02 2025-11-04 Emotiv 1nc. System and method for embedded cognitive state metric system
US11847260B2 (en) 2015-03-02 2023-12-19 Emotiv Inc. System and method for embedded cognitive state metric system
US12593163B2 (en) 2015-08-05 2026-03-31 Emotiv Inc. Method and system for collecting and processing bioelectrical and audio signals
US12502129B2 (en) 2015-08-05 2025-12-23 Emotiv Inc. Method and system for collecting and processing bioelectrical signals
EP3187110A1 (fr) 2015-12-30 2017-07-05 squipe GmbH Appareil permettant de détecter et de fournir des signaux du cerveau par utilisation d'électroencéphalographie
CN106236080A (zh) * 2016-08-19 2016-12-21 合肥工业大学 基于多通道的脑电信号中肌电噪声的消除方法
IT201700074576A1 (it) * 2017-07-04 2019-01-04 Luca Rastrelli Kit composto da una cuffia due bracciali e un driver
WO2020201761A1 (fr) * 2019-04-02 2020-10-08 Emteq Limited Procédé et appareil permettant de mesurer une activité électrique biologique
US12303296B2 (en) 2021-06-21 2025-05-20 Iowa State University Research Foundation, Inc. System and method for controlling physical systems using brain waves

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