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The First Seminar



25 Nov 2010 Tusday

25 Nov 2010 Tusday



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    The First Seminar The First Seminar Presentation Transcript

    • Brain Computer Interface
    • Project Members
      • Supervisors
      • Pro.Dr. Mostafa Gad-Haqq
      • Pro.Dr.TareqGharib
      • Dr. HowaidaAbd El Fatah
      • Assistants
      • T.A ManalTantawy
      • Team Members
      • Ahmed KhaledAbd El-glil
      • Ahmed Mohamed Ahmed Mahany
      • Islam Ahmed Hamed
      • KamalAshrafKamal
      • Mohammed Saeed Ibrahim
    • Agenda
      • Problem Statement
      • Objective
      • Motivation
      • Description
      • Introduction to EEG Signals
      • Brain Computer Interface
      • Basic System Architecture
      • Tools, technologies and SWE Methodology
      • Time Plan
      • References
    • Problem Statement
      Handicaps need assistance to perform their everyday activities
    • Problem Statement
      Biometric Security
      High Risk Security
    • Problem Statement
      Medical Diagnose
      For Mental disorders and spinal injuries
    • Objective
      • Help disabled people to normal life and communication without the need of others.
      • Develop a generic EEG Classification that can support different applications
      • Develop brain computer interface application by using cognitive EEG signal.
    • Motivation
      • Help handicaps to normal life and communication without the need of others.
    • EEG signal( Description )
      • Definition:-
      • An electroencephalogram is a measure of the brain's voltage changes as detected from scalp electrodes.
      Electrodes: Small metal discs placed on the scalp in special positions.
    • EEG signal( Description cont)
      • It is an approximation of the cumulative electrical activity of neurons.
      • Actions that affect the EEG signals to three categories:-
      • Muscular Movements
      • Expressive States
      • Cognitive States (Our Scope)
    • EEG signal( Description cont)
      • Study of EEG paves the way for some problem:-
      • Monitoring Alertness, Coma, and Brain death.
      • locating areas of damage following head injury and tumour.
      • Investigating and testing epilepsy.
      • Monitoring the brain development.
      • investigating sleep disorders and mental disorders.
    • EEG signal(Description cont)
      • Waves
    • BrainComputerInterface(Description)
      Brain Computer Interface (BCI) is a collaboration in which a brain accepts and controls a Mechanical device as a natural part of its representation of the body.
    • Brain Computer Interface( Description cont. )
      What is it good for ?
      • People with little muscle control.
      • Early medical diagnose
      • People with Amyotrophic lateral sclerosis(ALS)
      • Spinal injuries.
      • Mental disorders.
      • Dementia.(cognitive abilities).
      • Epileptic disease.
    • Brain Computer Interface( Description cont. )
      • In Review
      • Allow those with poor muscle control to communicate and control physical devices
    • Agenda
      • Basic System Architecture
      • Tools, technologies and SWE Methodology
      • Time Plan
      • References
    • Basic System Architecture
      Computer Interface
      EEG Signals Classification
    • Basic System Architecture(cont)
      EEG Signal
      EEG Signal Classification
      EEG Signal acquisition
      Computer Interface
      • Removal Noise
      • Feature Extraction
      • DFT
      • ICA Transforms
      • Discrete Wavelet Transform
      • Autoregressive Modeling
      • Neural Network
      • Genetic Algorithm
      • Support Vector Machine
      • Emotive SDK Research Edition.
      There aremany algorithms to perform EEG signal feature extraction and classification
      Compare And Choose
    • Tools, technologies and SWE Methodology
      • Tools & Technologies
      • Software
      • Microsoft .NET Framework(Visual Studio 2008)
      • Hardware
      • Emotive SDK Research Edition.
      • Software development methodology
      • Agile.
    • Time Plan
    • References
      Author s are Dr Saeid Sanei and A. Chambers, EEG Signal Processing.
      Predicting Reaching Targets from Human EEG.[Paul S. Hammon, Scott Makeig, Howard Poizner, Emanuel Todorov, and Virginia R. de Sa] ,IEEE Signal Processing Magazine-jaunary 2008.
    • Thanks