Brain-computer interfaces in neurorehabilitation for central nervous system diseases: Applications in stroke, multiple sclerosis and Parkinson's disease
SANAMED,
Journal Year:
2025,
Volume and Issue:
00, P. 75 - 75
Published: Jan. 1, 2025
Brain-computer
interfaces
(BCIs)
represent
an
innovative
approach
to
neurorehabilitation
for
neurological
conditions,
particularly
stroke,
multiple
sclerosis,
and
Parkinson's
disease.
This
paper
provides
a
comprehensive
analysis
of
current
BCI
applications,
technological
developments,
clinical
outcomes
in
these
conditions.
Recent
advances
electroencephalography-based
BCIs
have
demonstrated
promising
results,
with
classification
accuracies
exceeding
90%
stroke
rehabilitation
comparable
performance
sclerosis
Meta-analyses
trials
(n=235)
indicate
significant
motor
function
improvements
,
standardized
mean
differences
0.79
upper
limb
assessment
scores
compared
conventional
therapy.
Disease-specific
challenges
necessitate
tailored
approaches,
while
hybrid
systems
combining
signal
types
integration
virtual
reality
or
robotic
assistance
enhance
therapeutic
potential.
The
development
portable,
home-based
offers
increased
therapy
intensity
but
raises
concerns
about
remote
monitoring
safety
protocols.
review
synthesizes
evidence
supporting
applications
highlights
critical
areas
future
research,
including
cognitive
optimization
the
standardization
outcome
measures
cross-condition
comparison.
Language: Английский
Harnessing Brainwaves
Advances in medical technologies and clinical practice book series,
Journal Year:
2025,
Volume and Issue:
unknown, P. 67 - 100
Published: Jan. 24, 2025
Electroencephalography
(EEG)-based
Brain-Computer
Interface
(BCI)
technology
has
appeared
as
a
promising
path
for
healthcare,
contributing
to
novel
solutions
detecting,
treating,
and
dealing
with
neurological
conditions.
By
capturing
construing
the
electrical
activities
of
brain
signals,
EEG-based
BCIs
empower
direct
communication
external
devices,
circumventing
traditional
neural
conduits.
This
chapter
delves
into
progress
BCI
emphasizing
their
implication
in
technical
challenges
tangled,
potential
transform
patient
care.
The
key
objective
is
deliver
detailed
exploration
development
procedure
applications
healthcare.
includes
principles
EEG
signal
acquisition,
design
engineering
systems,
employment
machine
learning
algorithms
decoding,
clinical
validation
required
medical
use.
Moreover,
it
will
discuss
prospective
effect
these
devices
on
healthcare
future
research
directions.
Language: Английский