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Non Invasive Brain Computer Interfaces for Communication and Control

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It is detected on the central electrode sites (over the sensorimotor cortex) ... The P300 is an event-related potential, dominating at parietal electrode sites. ... – PowerPoint PPT presentation

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Title: Non Invasive Brain Computer Interfaces for Communication and Control


1
Non Invasive Brain Computer Interfaces for
Communication and Control
Non Invasive Brain Computer Interfaces for
Communication and Control
Fabio Babiloni Department of Physiology and
Pharmacology, University of Rome La Sapienza

Fabio Babiloni Department of Physiology and
Pharmacology, University of Rome La Sapienza

2
Technologies for the study of brain functions
Epilepticus sic curabitur ('The way to cure an
epileptic') Sloane Manuscript, collection of
medical manuscripts, end of the 12th century -
British Museum, London
3
Technologies for the study of brain functions
Cauterisation (15th century) Image taken from the
first medical textbook "Cerrahiyyet'ül Haniyye",
written in Ottoman language by the Turkish
surgeon Serafettin Sabuncuoglu.
4
Hyeronimus Bosch, The stone of madness, El Prado,
Madrid
5
Jan Sanders Van Hemessen (1500-1566), The surgeon
1550, El Prado, Madrid
6
Variations of EEG waves are correlated with some
mental states
8-12 Hertz, mu EEG waves
  • 8-12 Hertz, alpha EEG waves

7
  • To move things is all that mankind can do
    for such the sole executant is muscle, whether
    in whispering a syllabe or in felling a forest.
  • Sir Charles Sherrington, 1924

8
What a BCI is
  • Braincomputer interfaces (BCIs) give their
    users communication and control channels that do
    not depend on the brains normal output channels
    of peripheral nerves and muscles.
  • A BCI changes the electrophysiological signals
    from mere reflections of CNS activity into the
    intended product of the activity messages and
    commands that act on the world
  • Wolpaw, 2002

9
BCI logical scheme
Increase of performance
appropriate feature extraction
Modification ofBrain Signals
Signal Features
computer training
user training
Psychological Effort(Intention)
Classification Of Intent
Environment
appropriate feedback strategy
10
Movement-related thoughts elicited specific
cortical patterns
  • Neuroscientific studies with fMRI have
    demonstrated that motor and parietal areas are
    involved in the imagination of the limb movements
  • Several EEG studies have also demonstrated that
    imagined movements elicited desynchronization
    patterns different for right and left movement
    imaginations

Imagined left movement
Executed left movement
11
EEG features for BCIs
Detection of mu rhythm modulation
Detection of P300
Detection of steady-state VEPs
Detection of Slow Cortical Potentials
SINC 2007
11
12
Sensory motor rhythms
  • SMR is a 8-12 Hz oscillatory rhythm of the
    brains electrical activity.
  • It is detected on the central electrode sites
    (over the sensorimotor cortex)
  • It is associated with inhibition of motor
    activity

From Wolpaw et al. 2002, Clinph
12
13
EEG features for BCIs
Detection of mu rhythm modulation
Detection of P300
Detection of steady-state VEPs
Detection of Slow Cortical Potentials
SINC 2007
13
14
P300 Potential
P300 potentials
  • The P300 is an event-related potential,
    dominating at parietal electrode sites.
  • P300 follows unexpected sensory stimuli or
    stimuli that provide task related information
  • P300 speller

From Selllers Donchin 2006, clinph
15
Research Applications
  • Speller
  • Symbolic Communication
  • Game
  • Environment Control
  • Virtual Mobility
  • Mobility
  • Neuroprosthesis

16
Ministero degli Affari Esteri Progetto Brain
Computer Interfaces Between China and Italy
(BCI2) Speller
Credits F. Aloise F. Babiloni U. Sapienza,
Roma S. Gao Tsinghua Univ., RPC B. Hong
Tsinghua Univ., RPC
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19
Fondazione Banca Nazionale della
Comunicazione Progetto Inclusione nella ICT di
soggetti affetti da grave disabilità motoria
tramite Game
Credits F. Aloise F. Babiloni U. Sapienza,
Roma
20
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21
Fondazione Telethon Progetto ASPICE
Virtual Mobility
Credits F. Aloise G. Oriolo U. Sapienza,
Roma A. Cherubini U. Sapienza, Roma
22
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23
European Commission 6th Framework
Programme Progetto MAIA FP6 Mobility
Credits J. Millàn IDIAP, CH M. Nuttin KU
Leuven. B F. Cincotti FSL
24
P300-based control of a domestic environment
25
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26
Neuroprosthesis
Credits F. Babiloni F.Aloise F. Cincotti
FSL M.C. Carrozza SSSA, Pisa
27
Future trends
  • Its always hard to make prediction, especially
    about the future
  • 640 KB RAM will be adequate for everybody in the
    future
  • Bill Gates, 1981

IBM
  • Computers are interesting, but the mondial
    market for them is limited in the future to not
    more of 5 pieces per year
  • Thomas Watson, IBM president, 1949
  • People will not wear scalp electrodes during
    normal daylife
  • Chief of Research and Development of a mobile
    phone company

28
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