WO2010075518A8 - Brain state analysis based on select seizure onset characteristics and clinical manifestations - Google Patents

Brain state analysis based on select seizure onset characteristics and clinical manifestations Download PDF

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Publication number
WO2010075518A8
WO2010075518A8 PCT/US2009/069421 US2009069421W WO2010075518A8 WO 2010075518 A8 WO2010075518 A8 WO 2010075518A8 US 2009069421 W US2009069421 W US 2009069421W WO 2010075518 A8 WO2010075518 A8 WO 2010075518A8
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WO
WIPO (PCT)
Prior art keywords
brain state
state analysis
clinical
select
analysis based
Prior art date
Application number
PCT/US2009/069421
Other languages
French (fr)
Other versions
WO2010075518A1 (en
Inventor
David M. Himes
Sara M. Rolfe
David E. Snyder
Original Assignee
Neurovista Corporation
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 Neurovista Corporation filed Critical Neurovista Corporation
Priority to EP09835836.9A priority Critical patent/EP2369986A4/en
Publication of WO2010075518A1 publication Critical patent/WO2010075518A1/en
Publication of WO2010075518A8 publication Critical patent/WO2010075518A8/en

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    • 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
    • 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
    • A61B5/4094—Diagnosing or monitoring seizure diseases, e.g. epilepsy
    • 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
    • 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
    • A61B5/6846—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient specially adapted to be brought in contact with an internal body part, i.e. invasive
    • 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
    • A61B5/7271—Specific aspects of physiological measurement analysis
    • A61B5/7275—Determining trends in physiological measurement data; Predicting development of a medical condition based on physiological measurements, e.g. determining a risk factor
    • 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
    • G16H50/20—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert systems

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  • Health & Medical Sciences (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Engineering & Computer Science (AREA)
  • Medical Informatics (AREA)
  • Public Health (AREA)
  • Biomedical Technology (AREA)
  • Pathology (AREA)
  • General Health & Medical Sciences (AREA)
  • Veterinary Medicine (AREA)
  • Molecular Biology (AREA)
  • Surgery (AREA)
  • Animal Behavior & Ethology (AREA)
  • Heart & Thoracic Surgery (AREA)
  • Biophysics (AREA)
  • Physics & Mathematics (AREA)
  • Neurology (AREA)
  • Neurosurgery (AREA)
  • Physiology (AREA)
  • Psychiatry (AREA)
  • Signal Processing (AREA)
  • Data Mining & Analysis (AREA)
  • Databases & Information Systems (AREA)
  • Epidemiology (AREA)
  • Primary Health Care (AREA)
  • Artificial Intelligence (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Psychology (AREA)
  • Measurement And Recording Of Electrical Phenomena And Electrical Characteristics Of The Living Body (AREA)
  • Investigating Or Analysing Biological Materials (AREA)
  • Other Investigation Or Analysis Of Materials By Electrical Means (AREA)

Abstract

Systems and methods for developing a brain state analysis system using subject EEG data are provided. The analysis system distinguishes clinical from subclinical electrographic seizures and optionally distinguishes among different seizure onset characteristics. An algorithm trained on only clinical electrographic seizures may predict clinical seizures more accurately with fewer perceived false positives. In addition, algorithms trained on a particular onset condition may distinguish and advise on that onset condition when used by the patient.
PCT/US2009/069421 2008-12-23 2009-12-23 Brain state analysis based on select seizure onset characteristics and clinical manifestations WO2010075518A1 (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
EP09835836.9A EP2369986A4 (en) 2008-12-23 2009-12-23 Brain state analysis based on select seizure onset characteristics and clinical manifestations

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
US14059208P 2008-12-23 2008-12-23
US61/140,592 2008-12-23

Publications (2)

Publication Number Publication Date
WO2010075518A1 WO2010075518A1 (en) 2010-07-01
WO2010075518A8 true WO2010075518A8 (en) 2010-09-02

Family

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Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/US2009/069421 WO2010075518A1 (en) 2008-12-23 2009-12-23 Brain state analysis based on select seizure onset characteristics and clinical manifestations

Country Status (3)

Country Link
US (1) US20100168603A1 (en)
EP (1) EP2369986A4 (en)
WO (1) WO2010075518A1 (en)

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WO2010075518A1 (en) 2010-07-01
EP2369986A1 (en) 2011-10-05
EP2369986A4 (en) 2013-08-28
US20100168603A1 (en) 2010-07-01

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