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MX2019006479A - Semiologia de crisis convulsivas que incluyen señales recolectadas de electrodos para electroencefalografia. - Google Patents

Semiologia de crisis convulsivas que incluyen señales recolectadas de electrodos para electroencefalografia.

Info

Publication number
MX2019006479A
MX2019006479A MX2019006479A MX2019006479A MX2019006479A MX 2019006479 A MX2019006479 A MX 2019006479A MX 2019006479 A MX2019006479 A MX 2019006479A MX 2019006479 A MX2019006479 A MX 2019006479A MX 2019006479 A MX2019006479 A MX 2019006479A
Authority
MX
Mexico
Prior art keywords
semiology
seizure
electroencephalography
electrodes
signals collected
Prior art date
Application number
MX2019006479A
Other languages
English (en)
Inventor
R Girouard Michael
E Cavazos Jose
E Whitmire Luke
P Cardenas Damon
J Halford Jonathan
Original Assignee
Brain Sentinel Inc
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
Priority claimed from US15/491,883 external-priority patent/US10736525B2/en
Application filed by Brain Sentinel Inc filed Critical Brain Sentinel Inc
Publication of MX2019006479A publication Critical patent/MX2019006479A/es

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
    • 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
    • A61B5/389—Electromyography [EMG]
    • A61B5/397—Analysis of electromyograms
    • 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
    • A61B5/103—Measuring devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
    • A61B5/11—Measuring movement of the entire body or parts thereof, e.g. head or hand tremor or mobility of a limb
    • A61B5/1107—Measuring contraction of parts of the body, e.g. organ or muscle
    • 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
    • A61B5/389—Electromyography [EMG]
    • 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
    • A61B5/7253—Details of waveform analysis characterised by using transforms
    • A61B5/726—Details of waveform analysis characterised by using transforms using Wavelet transforms
    • 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
    • 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

Landscapes

  • Health & Medical Sciences (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Neurology (AREA)
  • Molecular Biology (AREA)
  • Public Health (AREA)
  • Pathology (AREA)
  • Veterinary Medicine (AREA)
  • Biomedical Technology (AREA)
  • Heart & Thoracic Surgery (AREA)
  • Medical Informatics (AREA)
  • Biophysics (AREA)
  • Surgery (AREA)
  • Animal Behavior & Ethology (AREA)
  • General Health & Medical Sciences (AREA)
  • Neurosurgery (AREA)
  • Physiology (AREA)
  • Psychiatry (AREA)
  • Artificial Intelligence (AREA)
  • Psychology (AREA)
  • Evolutionary Computation (AREA)
  • Fuzzy Systems (AREA)
  • Mathematical Physics (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Signal Processing (AREA)
  • Measurement And Recording Of Electrical Phenomena And Electrical Characteristics Of The Living Body (AREA)

Abstract

Se describen métodos y aparatos para detectar y caracterizar crisis convulsivas. En algunas modalidades, los métodos y aparatos incluyen recolectar una señal de EEG y seleccionar o filtrar la señal con el fin de aumentar una prevalencia de una parte de esa señal de EEG derivada de la activación del músculo. En algunas modalidades, una o más señales de EEG se pueden analizar con uno o más algoritmos designados para detectar componentes musculares de la señal con el fin de llevar a cabo la semiología de crisis convulsivas y/o para diferenciar crisis convulsivas detectadas con base en su tipo.
MX2019006479A 2016-12-02 2017-12-02 Semiologia de crisis convulsivas que incluyen señales recolectadas de electrodos para electroencefalografia. MX2019006479A (es)

Applications Claiming Priority (3)

Application Number Priority Date Filing Date Title
US201662429359P 2016-12-02 2016-12-02
US15/491,883 US10736525B2 (en) 2016-04-19 2017-04-19 Systems and methods for characterization of seizures
PCT/US2017/064377 WO2018102794A1 (en) 2016-12-02 2017-12-02 Semiology of seizures including muscle signals collected from electroencephalography electrodes

Publications (1)

Publication Number Publication Date
MX2019006479A true MX2019006479A (es) 2019-08-21

Family

ID=62242778

Family Applications (1)

Application Number Title Priority Date Filing Date
MX2019006479A MX2019006479A (es) 2016-12-02 2017-12-02 Semiologia de crisis convulsivas que incluyen señales recolectadas de electrodos para electroencefalografia.

Country Status (8)

Country Link
US (1) US20200022603A1 (es)
EP (1) EP3547906A4 (es)
JP (1) JP2019536562A (es)
AU (1) AU2017366738A1 (es)
BR (1) BR112019011229A2 (es)
CA (1) CA3045904A1 (es)
MX (1) MX2019006479A (es)
WO (1) WO2018102794A1 (es)

Families Citing this family (16)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US11020035B2 (en) 2016-02-01 2021-06-01 Epitel, Inc. Self-contained EEG recording system
US11241297B2 (en) 2016-12-12 2022-02-08 Cadwell Laboratories, Inc. System and method for high density electrode management
US11517239B2 (en) * 2018-04-05 2022-12-06 Cadwell Laboratories, Inc. Systems and methods for processing and displaying electromyographic signals
US11596337B2 (en) 2018-04-24 2023-03-07 Cadwell Laboratories, Inc Methods and systems for operating an intraoperative neurophysiological monitoring system in conjunction with electrocautery procedures
US11185684B2 (en) 2018-09-18 2021-11-30 Cadwell Laboratories, Inc. Minimally invasive two-dimensional grid electrode
US11517245B2 (en) 2018-10-30 2022-12-06 Cadwell Laboratories, Inc. Method and system for data synchronization
US12533069B2 (en) 2018-11-09 2026-01-27 Cadwell Laboratories, Inc. Systems and methods of electrode switching for neurophysiological sensing and stimulation
US11471087B2 (en) 2018-11-09 2022-10-18 Cadwell Laboratories, Inc. Integrity verification system for testing high channel count neuromonitoring recording equipment
US11529107B2 (en) 2018-11-27 2022-12-20 Cadwell Laboratories, Inc. Methods for automatic generation of EEG montages
US11128076B2 (en) 2019-01-21 2021-09-21 Cadwell Laboratories, Inc. Connector receptacle
US20210307672A1 (en) 2020-04-05 2021-10-07 Epitel, Inc. Eeg recording and analysis
US12514549B2 (en) 2021-08-31 2026-01-06 Cadwell Laboratories, Inc. Methods and systems for evaluating echo data contemporaneous with an electrodiagnostic study
CN115227261A (zh) * 2022-06-23 2022-10-25 深圳市联影高端医疗装备创新研究院 异常状态的检测装置和方法
US11918368B1 (en) 2022-10-19 2024-03-05 Epitel, Inc. Systems and methods for electroencephalogram monitoring
AU2024282933A1 (en) 2023-06-01 2026-01-22 Epitel, Inc. Adaptive systems and methods for seizure detection
CN118415651B (zh) * 2024-06-11 2025-11-28 电子科技大学 基于多通道图谱结构特征挖掘的癫痫发作预测方法

Family Cites Families (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20020188216A1 (en) * 2001-05-03 2002-12-12 Kayyali Hani Akram Head mounted medical device
WO2005117693A1 (en) * 2004-05-27 2005-12-15 Children's Medical Center Corporation Patient-specific seizure onset detection system
US8738139B2 (en) * 2007-08-01 2014-05-27 Bruce Lanning Wireless system for epilepsy monitoring and measurement
EP2729063A4 (en) * 2011-07-05 2015-03-18 Lgch Inc METHOD AND DEVICE FOR DETECTING ANSWERS
DK178263B1 (en) * 2012-06-12 2015-10-19 Ictalcare As Method and system of detecting seizures
US10130813B2 (en) * 2015-02-10 2018-11-20 Neuropace, Inc. Seizure onset classification and stimulation parameter selection

Also Published As

Publication number Publication date
EP3547906A4 (en) 2020-09-02
BR112019011229A2 (pt) 2019-10-15
EP3547906A1 (en) 2019-10-09
WO2018102794A1 (en) 2018-06-07
JP2019536562A (ja) 2019-12-19
US20200022603A1 (en) 2020-01-23
AU2017366738A1 (en) 2019-07-04
CA3045904A1 (en) 2018-06-07

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