Sensors,
Год журнала:
2020,
Номер
20(7), С. 2034 - 2034
Опубликована: Апрель 4, 2020
The
electroencephalogram
(EEG)
has
great
attraction
in
emotion
recognition
studies
due
to
its
resistance
deceptive
actions
of
humans.
This
is
one
the
most
significant
advantages
brain
signals
comparison
visual
or
speech
context.
A
major
challenge
EEG-based
that
EEG
recordings
exhibit
varying
distributions
for
different
people
as
well
same
person
at
time
instances.
nonstationary
nature
limits
accuracy
it
when
subject
independency
priority.
aim
this
study
increase
subject-independent
by
exploiting
pretrained
state-of-the-art
Convolutional
Neural
Network
(CNN)
architectures.
Unlike
similar
extract
spectral
band
power
features
from
readings,
raw
data
used
our
after
applying
windowing,
pre-adjustments
and
normalization.
Removing
manual
feature
extraction
training
system
overcomes
risk
eliminating
hidden
helps
leverage
deep
neural
network's
uncovering
unknown
features.
To
improve
classification
further,
a
median
filter
eliminate
false
detections
along
prediction
interval
emotions.
method
yields
mean
cross-subject
86.56%
78.34%
on
Shanghai
Jiao
Tong
University
Emotion
Dataset
(SEED)
two
three
classes,
respectively.
It
also
72.81%
Database
Analysis
using
Physiological
Signals
(DEAP)
81.8%
Loughborough
Multimodal
(LUMED)
classes.
Furthermore,
model
been
trained
SEED
dataset
was
tested
with
DEAP
dataset,
which
58.1%
across
all
subjects
Results
show
terms
accuracy,
proposed
approach
superior
to,
par
with,
reference
identified
literature
limited
complexity
elimination
need
extraction.
Proceedings of the National Academy of Sciences,
Год журнала:
2014,
Номер
111(41)
Опубликована: Сен. 29, 2014
Significance
Brain
stimulation
is
a
powerful
treatment
for
an
increasing
number
of
psychiatric
and
neurological
diseases,
but
it
unclear
why
certain
sites
work
or
where
in
the
brain
best
place
to
stimulate
treat
given
patient
disease.
We
found
that
although
different
types
are
applied
locations,
targets
used
same
disease
most
often
nodes
network.
These
results
suggest
networks
might
be
understand
works
improve
therapy
by
identifying
places
brain.
Neurophotonics,
Год журнала:
2015,
Номер
2(2), С. 020801 - 020801
Опубликована: Май 5, 2015
Functional
near-infrared
spectroscopy
(fNIRS)
is
an
optical
imaging
method
that
used
to
noninvasively
measure
cerebral
hemoglobin
concentration
changes
induced
by
brain
activation.
Using
structural
guidance
in
fNIRS
research
enhances
interpretation
of
results
and
facilitates
making
comparisons
between
studies.
AtlasViewer
open-source
software
package
we
have
developed
incorporates
multiple
spatial
registration
tools
enable
the
We
introduce
reader
layout
graphical
user
interface,
folder
structure,
files
required
creation
probes
containing
sources
detectors
registered
desired
locations
on
head,
evaluating
probe
fabrication
error
intersubject
placement
variability,
different
procedures
for
estimating
measurement
sensitivity
regions
as
well
image
reconstruction
performance.
Further,
detail
how
provides
a
generic
head
atlas
guiding
results,
but
also
permits
users
provide
subject-specific
anatomies
interpret
their
results.
anticipate
will
be
valuable
tool
improving
anatomical
Journal of Clinical Medicine,
Год журнала:
2018,
Номер
7(12), С. 466 - 466
Опубликована: Ноя. 22, 2018
For
cognitive
processes
to
function
well,
it
is
essential
that
the
brain
optimally
supplied
with
oxygen
and
blood.
In
recent
years,
evidence
has
emerged
suggesting
cerebral
oxygenation
hemodynamics
can
be
modified
physical
activity.
To
better
understand
relationship
between
oxygenation/hemodynamics,
activity,
cognition,
application
of
state-of-the
art
neuroimaging
tools
essential.
Functional
near-infrared
spectroscopy
(fNIRS)
such
a
tool
especially
suitable
investigate
effects
activity/exercises
on
due
its
capability
quantify
changes
in
concentration
oxygenated
hemoglobin
(oxyHb)
deoxygenated
(deoxyHb)
non-invasively
human
brain.
However,
currently
there
no
clear
standardized
procedure
regarding
application,
data
processing,
analysis
fNIRS,
large
heterogeneity
how
fNIRS
applied
field
exercise–cognition
science.
Therefore,
this
review
aims
summarize
current
methodological
knowledge
about
studies
measuring
cortical
hemodynamic
responses
during
testing
(i)
prior
after
different
activities
interventions,
(ii)
cross-sectional
accounting
for
fitness
level
their
participants.
Based
methodology
35
as
relevant
considered
publications,
we
outline
recommendations
future
