Rare Diseases Symptoms Automatic Extraction
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Our Team
An independent SSVEP-based brain-computer interface in locked-in syndrome.
[locked-in syndrome]
Steady-
state
visually
evoked
potential
(
SSVEP
)
-
based
brain
-computer
interfaces
(
BCIs
)
allow
healthy
subjects
to
communicate
.
However
,
their
dependence
on
gaze
control
prevents
their
use
with
severely
disabled
patients
.
Gaze-independent
SSVEP-BCIs
have
been
designed
but
have
shown
a
drop
in
accuracy
and
have
not
been
tested
in
brain
-injured
patients
.
In
the
present
paper
,
we
propose
a
novel
independent
SSVEP-BCI
based
on
covert
attention
with
an
improved
classification
rate
.
We
study
the
influence
of
feature
extraction
algorithms
and
the
number
of
harmonics
.
Finally
,
we
test
online
communication
on
healthy
volunteers
and
patients
with
locked-
in
syndrome
(
LIS
)
.
Twenty
-
four
healthy
subjects
and
six
LIS
patients
participated
in
this
study
.
An
independent
covert
two
-class
SSVEP
paradigm
was
used
with
a
newly
developed
portable
light
emitting
diode-based
'
interlaced
squares
'
stimulation
pattern
.
Mean
offline
and
online
accuracies
on
healthy
subjects
were
respectively
85
±
2
%
and
74
±
13
%
,
with
eight
out
of
twelve
subjects
succeeding
to
communicate
efficiently
with
80
±
9
%
accuracy
.
Two
out
of
six
LIS
patients
reached
an
offline
accuracy
above
the
chance
level
,
illustrating
a
response
to
a
command
.
One
out
of
four
LIS
patients
could
communicate
online
.
We
have
demonstrated
the
feasibility
of
online
communication
with
a
covert
SSVEP
paradigm
that
is
truly
independent
of
all
neuromuscular
functions
.
The
potential
clinical
use
of
the
presented
BCI
system
as
a
diagnostic
(
i
.
e
.
,
detecting
command-following
)
and
communication
tool
for
severely
brain
-injured
patients
will
need
to
be
further
explored
.
Diseases
Validation
Diseases presenting
"brain-injured patients"
symptom
locked-in syndrome
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