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BLDEA’S
V.P. DR. P.G.HALAKATTI COLLEGE OF ENGINEERING &
TECHNOLOGY,VIJAYAPUR-586103.
DEPARTMENT OF ELECTRICAL AND ELECTRONICS ENGINEERING
A Seminar on
“Brain Gate System”
Presented By
KIRAN NINGANNAVAR [2BL19EE021]
Under the guidance
of
Dr. M. M.
HOD
Dr. A. S.
Jadhav
Principal
Dr. V. G.
Sangam
CONTENTS:
 Introduction
 Working Principle
 Working Algorithm
 Brain Gate Research in Human
 Advantages and Disadvantages
 Applications
 Conclusion
 References
INTRODUCTION:
What is brain gate technology?
• Brain gate is a Neuroprosthetic device that
converts brain activity into computer
commands.
• These are the devices which converts the
brains intentions to external actions by using
mechanical components.
• This system is designed to help those who have
loss control of their limps or body functions
such as patients with spinal cord injury.
Fig.1.Brain gate technology
WORKING PRINCIPLE:
• The principle of brain gate neural interface system is that which intact with
brain functions neural signals generated are interpreted by the systems and
a cursor is shown to the user on a computer screen that provides an
alternate brain gate pathway the user can use that cursor to control the
computer just as a mouse is used.
Fig.2.Working principle of Brain gate technology
WORKING ALGORITHUM:
Fig.3.Working Algorithum of Brain gate technology
BRAIN GATE RESEARCH IN HUMAN:
Fig.4.Brain gate research in human
ADVANTAGES:
• Controlling remote devices
• Making and receiving Telephone calls
• Accessing the internet
• Turn on or off lights
• Watch and control television
• Use the pc
• Locking or Unlocking doors
• Motorized Wheelchair
DISADVANTAGES:
• Expensive
• Risky Surgery
• Not wireless yet
• Difficulty in adaption and learning
• Limitation in information transform
APPLICATIONS:
• Researches are going on for brain to brain communication
• Memory upload
• Dream capture
• Use of microcontroller to improve its performance and to reduce
complexity
• Smaller, wireless device.
• The idea of moving robots or prosthetic devices not by manual
control, but by thinking (i.e., the brain activity of human subjects) has
been a fascinated approach.
• So this idea helps many patients to control the prosthetic devices of
their own by simply thinking about the task. This technology is well
supported by the latest fields of Biomedical Instrumentation,
Microelectronics; signal processing, Artificial Neural Networks and
Robotics which has overwhelming developments.
• Hope these systems will be effectively implemented for many
biomedical applications.
CONCLUSION:
1. Wolpaw J.R. Brain-computer interface technology: A review of the first international
meeting, IEEETrans. on Rehab. Eng 2000; 8:164 173.
2. Birbaumer N., Ghanayim N., Hinterberger T., Iversen I., Kotchoubey B., Kübler A.,
Perelmouter J., Taub E., and Flor H. A spelling device for the paralysed. Nature1999;
398:297298.
3. Kostov A., Polak M. Parallel manmachine training in development EEG-based cursor
control. IEEETrans. Rehab. Eng.2000; vol. 8.pp. 203205.
4. Pfurtscheller G. Current trends in Graz braincomputer interface. IEEE Trans. Rehab. Eng
2000. vol. 8,pp. 216219.
REFERENCES:
Brain gate system ppt-final.pptx

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Brain gate system ppt-final.pptx

  • 1. BLDEA’S V.P. DR. P.G.HALAKATTI COLLEGE OF ENGINEERING & TECHNOLOGY,VIJAYAPUR-586103. DEPARTMENT OF ELECTRICAL AND ELECTRONICS ENGINEERING A Seminar on “Brain Gate System” Presented By KIRAN NINGANNAVAR [2BL19EE021] Under the guidance of Dr. M. M. HOD Dr. A. S. Jadhav Principal Dr. V. G. Sangam
  • 2. CONTENTS:  Introduction  Working Principle  Working Algorithm  Brain Gate Research in Human  Advantages and Disadvantages  Applications  Conclusion  References
  • 3. INTRODUCTION: What is brain gate technology? • Brain gate is a Neuroprosthetic device that converts brain activity into computer commands. • These are the devices which converts the brains intentions to external actions by using mechanical components. • This system is designed to help those who have loss control of their limps or body functions such as patients with spinal cord injury. Fig.1.Brain gate technology
  • 4. WORKING PRINCIPLE: • The principle of brain gate neural interface system is that which intact with brain functions neural signals generated are interpreted by the systems and a cursor is shown to the user on a computer screen that provides an alternate brain gate pathway the user can use that cursor to control the computer just as a mouse is used. Fig.2.Working principle of Brain gate technology
  • 6. BRAIN GATE RESEARCH IN HUMAN: Fig.4.Brain gate research in human
  • 7. ADVANTAGES: • Controlling remote devices • Making and receiving Telephone calls • Accessing the internet • Turn on or off lights • Watch and control television • Use the pc • Locking or Unlocking doors • Motorized Wheelchair
  • 8. DISADVANTAGES: • Expensive • Risky Surgery • Not wireless yet • Difficulty in adaption and learning • Limitation in information transform
  • 9. APPLICATIONS: • Researches are going on for brain to brain communication • Memory upload • Dream capture • Use of microcontroller to improve its performance and to reduce complexity • Smaller, wireless device.
  • 10. • The idea of moving robots or prosthetic devices not by manual control, but by thinking (i.e., the brain activity of human subjects) has been a fascinated approach. • So this idea helps many patients to control the prosthetic devices of their own by simply thinking about the task. This technology is well supported by the latest fields of Biomedical Instrumentation, Microelectronics; signal processing, Artificial Neural Networks and Robotics which has overwhelming developments. • Hope these systems will be effectively implemented for many biomedical applications. CONCLUSION:
  • 11. 1. Wolpaw J.R. Brain-computer interface technology: A review of the first international meeting, IEEETrans. on Rehab. Eng 2000; 8:164 173. 2. Birbaumer N., Ghanayim N., Hinterberger T., Iversen I., Kotchoubey B., Kübler A., Perelmouter J., Taub E., and Flor H. A spelling device for the paralysed. Nature1999; 398:297298. 3. Kostov A., Polak M. Parallel manmachine training in development EEG-based cursor control. IEEETrans. Rehab. Eng.2000; vol. 8.pp. 203205. 4. Pfurtscheller G. Current trends in Graz braincomputer interface. IEEE Trans. Rehab. Eng 2000. vol. 8,pp. 216219. REFERENCES: