Rare Diseases Symptoms Automatic Extraction
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Our Project
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An asynchronous wheelchair control by hybrid EEG-EOG brain-computer interface.
[locked-in syndrome]
Wheelchair
control
requires
multiple
degrees
of
freedom
and
fast
intention
detection
,
which
makes
electroencephalography
(
EEG
)
-
based
wheelchair
control
a
big
challenge
.
In
our
previous
study
,
we
have
achieved
direction
(
turning
left
and
right
)
and
speed
(
acceleration
and
deceleration
)
control
of
a
wheelchair
using
a
hybrid
brain
-computer
interface
(
BCI
)
combining
motor
imagery
and
P
300
potentials
.
In
this
paper
,
we
proposed
hybrid
EEG-EOG
BCI
,
which
combines
motor
imagery
,
P
300
potentials
,
and
eye
blinking
to
implement
forward
,
backward
,
and
stop
control
of
a
wheelchair
.
By
performing
relevant
activities
,
users
(
e
.
g
.
,
those
with
amyotrophic
lateral
sclerosis
and
locked-
in
syndrome
)
can
navigate
the
wheelchair
with
seven
steering
behaviors
.
Experimental
results
on
four
healthy
subjects
not
only
demonstrate
the
efficiency
and
robustness
of
our
brain
-controlled
wheelchair
system
but
also
indicate
that
all
the
four
subjects
could
control
the
wheelchair
spontaneously
and
efficiently
without
any
other
assistance
(
e
.
g
.
,
an
automatic
navigation
system
)
.
Diseases
Validation
Diseases presenting
"locked-in syndrome"
symptom
locked-in syndrome
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