Brain Computing
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Brain Computing

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    Brain Computing Brain Computing Presentation Transcript

    • Brain Computer Interface 指導老師:李柏磊 副教授 報告者:電機三 B 葉姿妤 電機二 A 蕭有容 電機二 B 陳迺惠
    • Outlines
      • What is BCI?
      • How does it work?
      • Brain Wave Control
      • Simple introduction of the brain
      • Data Acquisition
      • Apps
      • Drawbacks & Future
      • Q&A
    •  
    • You can make it with BCI !
      • What is BCI?
      • Brain -Computer Interface
      • - Direct Neural Interface or Brain-Machine Interface
      • Direct communication pathway between a brain and an external device.
      • Research on BCIs began in the
      • 1970s at the University of
      • California Los Angeles
    • How does it work?
      • Signal Acquisition
      • Signal Processing
      • Devices
    • Brain Wave Control
    • Brain Wave Control
      • Active
        • α (8 – 12 Hz): relaxed/reflecting
        • β (12 – 30 Hz): alert/working
        • - Training
        • - Misjudgment
    • Brain Wave Control
      • Passive
        • Evoked potentials
    • Brain Wave Control
      • Passive
        • Evoked potentials
    • Brain Wave Control
      • Passive
        • Evoked potentials
    • Simple introduction of the brain Focus on cortex
    • Cerebral cortex 大腦皮質 Cerebellum 小腦 Midbrain 中腦
    •  
    • Structure of the cortex
    • Cortex( 皮質 )
      • Primary Somatosensory Cortex
      • 主要身體感覺區
      • Primary Motor Cortex
      • 主要運動區
      • Motor Association Cortex
      • 運動聯合區
      • Sensory Association Area
      • 感覺聯合區
      • Visual Association Area
      • 視覺聯合區
      • Visual Cortex
      • 視覺皮質區
      • Wernicke's Area
      • 威氏區
      • Prefrontal Cortex 前額葉皮質區
      • Speech Center (Broca‘s Area)
      • 布洛卡氏區
      • Auditory Cortex
      • 聽覺皮質區
      • Auditory Association Area
      • 聽覺聯合區
    • Data Acquisition
    • Data Acquisition
      • Invasive BCIs
      • Non-Invasive BCIs
      • Partially-Invasive BCIs
      • Wireless BCIs
    • Invasive BCIs
      • Implanted: grey matter
      • Signals: highest quality
      • Scar-tissue build-up
      • Target:
        • repairing damaged sight
        • providing new functionality to persons with paralysis
          • Artificial Vision System
    • Electrode Arrays
    • App.- Artificial Vision 4X4 16 pixels 8X8 64 pixels 12X12 144 pixels 16X16 256 pixels 32X32 1024 pixels 128X128 16384 pixels
    • Non-Invasive BCIs
      • poor signal resolution
      • power muscle implants and restore partial movement
      • Interfaces
        • EEG
        • MEG
        • MRI
    • MEG
      • Magnetoencephalography
      • Magnetic Field: 10 -15 T ~10 -13 T (Weak!!)
        • S.Q.U.I.D. Sensors
        • Shielded Room
    • Magnetic Field
    • Partially-Invasive BCIs
      • Implanted: skull
      • lower risk of forming scar-tissue in the brain
      • Signal quality between invasive BCIs & non-invasive BCIs
    • Wireless BCIs
      • More practical
      • Embedding multiple chips
        • More complicated thoughts
      • Transmission with RF
      • key requirement: keep the heat down
    • Wireless BCIs
      • Size: 2cm in diameter 、 8cm thick
      • Low cost
      • Receive Distance: 10m ~ 50m
    • Examples of BCI
    • Rats implanted with BCIs in Theodore Berger ’ s experiments
    • Monkey operating a robotic arm with BCIs
    • Controlling a robotic dog with BCI
    • A man operates the computer with his EEG
    • A man operates the computer with his EEG
    • P300->300ms 頂葉
    • Disadvantages
      • Headache
      • Exhausting
      • Laziness Degenerate
    • Future
      • Integrate with different territory
      • From lab to factory
      • Nursing and medical treatment
    • References
      • http://spectrum.ieee.org/biomedical/devices/the-brainmachine-interface-unplugged/0
      • http://www.seeingwithsound.com/etumble.htm
      • http://www.yct.com.tw/life/98drum/98drum17.pdf
      • http://www.libertytimes.com.tw/2007/new/may/24/today-life3.htm
      • http://hi.ctust.edu.tw/mediawiki/index.php/%E8%85%A6%E6%A9%9F%E4%BB%8B%E9%9D%A2%28BCI%29
    • Q&A