Brain Computer Interface
http://eegclassifyandrecognize.blogspot.com/
Project Members
Supervisors
•Pro.Dr. Mostafa Gad-Haqq
•Pro.Dr.Tareq Gharib
•Dr. Howaida Abd El Fatah
Assistants
•T.A Man...
Agenda
• Problem Statement
• Objective
• Motivation
• Description
 Introduction to EEG Signals
 Brain Computer Interface...
Problem Statement
Handicaps
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 Clas...
Motivation
• Help handicaps to normal life and
communication without the need of others.
EEGsignal(Description )
•Definition:-
An electroencephalogram is a measure of the
brain's voltage changes as detected fro...
EEGsignal(Description cont)
•It is an approximation of the cumulative electrical
activity of neurons.
•Actions that affect...
EEGsignal(Description cont)
•Study of EEG paves the way for some problem:-
Monitoring Alertness, Coma, and Brain death.
...
EEGsignal(Descriptioncont)
•Waves
Brain Computer Interface(Description)
Definition:-
Brain Computer Interface (BCI) is a collaboration in
which a brain acce...
BrainComputerInterface(Descriptioncont.)
What is it good for ?
•People with little muscle control.
•Early medical diagnose...
BrainComputerInterface(Descriptioncont.)
•In Review
Allow those with poor muscle control to
communicate and control physi...
Agenda
• Basic System Architecture
• Tools, technologies and SWE Methodology
• Time Plan
• References
Basic System Architecture
Generic
EEG Signals
Classification
Computer
Interface
Basic System Architecture(cont)
EEG Signal
Pre-processing
EEG Signal
Classification
EEG Signal
acquisition
 Emotive SDK
R...
Tools, technologies and SWE
Methodology
• Tools &Technologies
 Software
 Microsoft .NET Framework(Visual Studio 2008)
 ...
Time Plan
References
Books
Author s are Dr Saeid Sanei and A. Chambers, EEG
Signal Processing.
Papers
Predicting ReachingTargets fro...
Thanks
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The First Seminar

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25 Nov 2010 Tusday

Published in: Technology, Health & Medicine
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The First Seminar

  1. 1. Brain Computer Interface http://eegclassifyandrecognize.blogspot.com/
  2. 2. Project Members Supervisors •Pro.Dr. Mostafa Gad-Haqq •Pro.Dr.Tareq Gharib •Dr. Howaida Abd El Fatah Assistants •T.A ManalTantawy Team Members •Ahmed KhaledAbd El-glil •Ahmed MohamedAhmed Mahany •IslamAhmed Hamed •Kamal Ashraf Kamal •Mohammed Saeed Ibrahim
  3. 3. Agenda • Problem Statement • Objective • Motivation • Description  Introduction to EEG Signals  Brain Computer Interface • Basic System Architecture • Tools, technologies and SWE Methodology • Time Plan • References
  4. 4. Problem Statement Handicaps Handicaps need assistance to perform their everyday activities
  5. 5. Problem Statement Biometric Security High Risk Security
  6. 6. Problem Statement Medical Diagnose For Mental disorders and spinal injuries
  7. 7. 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.
  8. 8. Motivation • Help handicaps to normal life and communication without the need of others.
  9. 9. EEGsignal(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.
  10. 10. EEGsignal(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)
  11. 11. EEGsignal(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.
  12. 12. EEGsignal(Descriptioncont) •Waves
  13. 13. Brain Computer Interface(Description) Definition:- 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.
  14. 14. BrainComputerInterface(Descriptioncont.) 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.
  15. 15. BrainComputerInterface(Descriptioncont.) •In Review Allow those with poor muscle control to communicate and control physical devices
  16. 16. Agenda • Basic System Architecture • Tools, technologies and SWE Methodology • Time Plan • References
  17. 17. Basic System Architecture Generic EEG Signals Classification Computer Interface
  18. 18. Basic System Architecture(cont) EEG Signal Pre-processing EEG Signal Classification EEG Signal acquisition  Emotive SDK Research Edition. Removal Noise Feature Extraction •DFT •ICATransforms •DiscreteWaveletTransform •Autoregressive Modeling Neural Network Genetic Algorithm SupportVector Machine There are many algorithms to perform EEG signal feature extraction and classification Compare And Choose Computer Interface
  19. 19. Tools, technologies and SWE Methodology • Tools &Technologies  Software  Microsoft .NET Framework(Visual Studio 2008)  Hardware  Emotive SDK Research Edition. • Software development methodology  Agile.
  20. 20. Time Plan
  21. 21. References Books Author s are Dr Saeid Sanei and A. Chambers, EEG Signal Processing. Papers Predicting ReachingTargets from Human EEG.[Paul S. Hammon, Scott Makeig, Howard Poizner, EmanuelTodorov, and Virginia R. de Sa] ,IEEE Signal Processing Magazine-jaunary 2008.
  22. 22. Thanks
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