brain computer interface_direct ppt

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 BRAIN COMPUTER INTERFACE  from fiction to reality Date: May 5, 2010 Presented by : Ø Suman Mondal Ø Priyabrata Majee Ø Arpan Giri Ø Chinmoy Mallick Ø Surajit Sannigrahi Clic k to edit Master text styles Second level Third level Fourth level Fifth level

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8/6/2019 Brain Computer Interface_direct Ppt

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BRAIN COMPUTERINTERFACE from fiction toreality

Date: May 5, 2010

Presented by :Ø Suman MondalØ Priyabrata MajeeØ Arpan GiriØ Chinmoy MallickØ Surajit Sannigrahi

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GENERAL

PRINCIPLEØ Signals from an array of

neurons are read

Ø Cerebral electric activityis recorded

Ø Signals are amplified &transmitted into computer

Ø

Transformed to devicecontrol commands

Ø Signals are translated intoaction

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COMPONENTS

Ø The implant device orchronic multielectrodearray

Ø The signal recordingand processing section

Ø An external device forproducing andcontrolling motion

Ø A feedback section tothe subject

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SIMPLIFIED MODEL OF BCI

SYSTEM

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BCIAPPROACHES

● I NVA

SIVE

● I NVA

SIVE

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EEG BASEDBCI FOR

TETRAPLEGICS

Ø 6- channel EEG BCIused

Ø Sensory & motorcortices activatedduring attempts

Ø Control scheme sendsmovement intention to

Prosthetic ControllerØ Prosthetic Controller

returns force sensoryinformation to Controlscheme

Ø Feedback rocessed

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‘BRAINGATE’ BCI

The ‘Braingate’device can providemotor- impairedpatients a mode of communicationthrough the translation

of thought into directcomputer control.

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FEATURESOF

BRAINGATEBCI

Ø Neural Interface Device

Ø Consists of signalsensor and externalprocessors

Ø Converts neural signalsto output signals

Ø Sensor consists of tinychip with electrodesensors

Ø Chip implanted on brainsurface

Ø Cable connects sensor

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BRAIN CONTROLLEDROBOTS Ø Robot hand mimics

subject’s fingermovements

Ø Signals extracted anddecoded by computerprogram

Ø Transferred to hand

shaped robotØ To simulate original

movement performed

Ø Robot executes

commands usingonboard sensor

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BCI MOTOR

IMAGERYClick to edit Master text stylesSecond level● Third level

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BCIAPPLICATIONS

Ø Medical applications such as Cochlear Implant, Artificial Vision etc.

Ø Military applications

Ø Counter terrorism

Ø Multimedia and virtual reality applications

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DRAWBACKSØ EEGs measure tiny

voltage potentials. The signal is weakand prone tointerference.

Ø There are chemicalprocesses involved innerve system as well,which EEGs can't pickup on.

Ø The equipment isheavy(~10 lbs.) &

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CONCLUSION

Ø A potential therapeutic

tool.Ø BCI System is

nominated for theEuropean ICT GrandPrize.

Ø Potentially high impacttechnology.

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REFERENCESØ Brain Computer Interface, www.wikipedia.org

http://en.wikipedia.org/wiki/Brain_computer_inter face

Ø Berlin Brain-Computer Interfacehttp://ida.first.fraunhofer.de/projects/bci/bbciofficial/index-en.html

Ø www.howstuffworks.comØ http://www.nanoaging.com/wiki/Brain-

computer_interfaceØ Graz Brain-Computer-Interface

http://bci.tugraz.at/index.html

THANK YOU