NeuroFlex: Feasibility of EEG-Based Motor Imagery Control of a Soft Glove for Hand Rehabilitation
Sensors,
Год журнала:
2025,
Номер
25(3), С. 610 - 610
Опубликована: Янв. 21, 2025
Motor
impairments
resulting
from
neurological
disorders,
such
as
strokes
or
spinal
cord
injuries,
often
impair
hand
and
finger
mobility,
restricting
a
person’s
ability
to
grasp
perform
fine
motor
tasks.
Brain
plasticity
refers
the
inherent
capability
of
central
nervous
system
functionally
structurally
reorganize
itself
in
response
stimulation,
which
underpins
rehabilitation
brain
injuries
strokes.
Linking
voluntary
cortical
activity
with
corresponding
execution
has
been
identified
effective
promoting
adaptive
plasticity.
This
study
introduces
NeuroFlex,
motion-intent-controlled
soft
robotic
glove
for
rehabilitation.
NeuroFlex
utilizes
transformer-based
deep
learning
(DL)
architecture
decode
motion
intent
imagery
(MI)
EEG
data
translate
it
into
control
inputs
assistive
glove.
The
glove’s
soft,
lightweight,
flexible
design
enables
users
exercises
involving
fist
formation
grasping
movements,
aligning
natural
functions
practices.
results
show
that
accuracy
decoding
fingers
making
MI
can
reach
up
85.3%,
an
average
AUC
0.88.
demonstrates
feasibility
detecting
assisting
patient’s
attempted
movements
using
pure
thinking
through
non-intrusive
brain–computer
interface
(BCI).
EEG-based
aims
enhance
effectiveness
user
experience
protocols,
providing
possibility
extending
therapeutic
opportunities
outside
clinical
settings.
Язык: Английский
A hand exoskeleton with linear motors (HELM) for pathological tremor suppression of fingers
Опубликована: Апрель 1, 2025
Язык: Английский
The Design and Adaptive Control of a Parallel Chambered Pneumatic Muscle-Driven Soft Hand Robot for Grasping Rehabilitation
Biomimetics,
Год журнала:
2024,
Номер
9(11), С. 706 - 706
Опубликована: Ноя. 18, 2024
The
widespread
application
of
exoskeletons
driven
by
soft
actuators
in
motion
assistance
and
medical
rehabilitation
has
proven
effective
for
patients
who
struggle
with
precise
object
grasping
suffer
from
insufficient
hand
strength
due
to
strokes
or
other
conditions.
Repetitive
passive
flexion/extension
exercises
active
grasp
training
are
known
aid
the
restoration
motor
nerve
function.
However,
conventional
pneumatic
artificial
muscles
(PAMs)
used
typically
allow
bending
only
one
direction,
thereby
limiting
multi-degree-of-freedom
movements.
Moreover,
establishing
models
PAMs
is
challenging,
making
accurate
control
difficult
achieve.
To
address
these
challenges,
we
explored
design
fabrication
a
bidirectionally
PAM.
parameters
were
optimized
based
on
actual
needs
finite
element
analysis.
Additionally,
dynamic
model
PAM
was
established
using
elastic
strain
energy
Lagrange
equation.
Building
this,
an
adaptive
position
method
employing
radial
basis
function
neural
network,
hidden
layer
nodes,
developed
enhance
accuracy
assisting
grasping.
Finally,
wearable
exoskeleton
designed,
offering
two
modes,
grasp,
aimed
at
helping
regain
their
ability.
Язык: Английский
Design, modeling, and preliminary evaluation of a simple wrist-hand stretching orthosis for neurologically impaired patients
Wearable Technologies,
Год журнала:
2024,
Номер
5
Опубликована: Янв. 1, 2024
Abstract
This
work
studies
upper-limb
impairment
resulting
from
stroke
or
traumatic
brain
injury
and
presents
a
simple
technological
solution
for
subset
of
patients:
soft,
active
stretching
aid
at-home
use.
To
better
understand
the
issues
associated
with
existing
rehabilitation
devices,
customer
discovery
conversations
were
conducted
153
people
in
healthcare
ecosystem
(60
patients,
30
caregivers,
63
medical
providers).
These
patients
fell
into
two
populations:
spastic
(stiff,
clenched
hands)
flaccid
(limp
hands).
Focusing
on
first
category,
set
design
constraints
was
developed
based
information
collected
discovery.
With
these
mind,
powered
wrist-hand
orthosis
(exoskeleton)
designed
prototyped
as
preclinical
study
(T0
basic
science
research)
to
recovery.
The
tested
proof-of-concept,
one
survivor
injury.
prototype
able
consistently
open
both
patients’
hands.
A
mathematical
model
characterize
joint
stiffness
experimental
testing.
Donning
doffing
times
averaged
76
12.5
s,
respectively,
each
subject
unassisted.
compared
favorably
shown
literature.
device
benefits
construction
low-cost
materials
is
envisioned
become
therapy
accessible
home.
lays
foundation
phase
1
clinical
trials
further
development.
Язык: Английский
A Novel Pneudraulic Actuation Method to Enhance Soft Robot Control
Soft Robotics,
Год журнала:
2024,
Номер
unknown
Опубликована: Дек. 26, 2024
Modern
industrial
and
medical
applications
require
soft
actuators
with
practical
actuation
methods,
capable
of
precision
control
high-speed
performance.
Within
the
realm
robotics,
speed
imply
less
complications
reduced
operational
times.
Soft
fluidic
(SFAs)
are
promising
candidates
to
replace
current
rigid
endoscopes
due
their
mechanical
compliance,
which
offers
safer
human-robot
interaction.
However,
most
common
techniques
used
operate
SFAs,
pneumatics,
hydraulics
present
limitations
that
affect
To
reduce
manufacturing
complexity,
enhance
response
time,
improve
precision,
augment
usability
we
propose
a
pneudraulic
actuationsystem
that,
for
first
combines
pneumatic
hydraulic
circuit
in
series.
examine
this
proposal,
comparative
assessment
proposed
technique
was
carried
out,
terms
bending
performance
generation
audible
noise
level
during
functioning.
The
analysis
provides
insights
into
various
methods
highlighting
significant
effects
related
fluid-structure
interactions
presence
trapped
air.
Thereafter,
different
circuits
is
performed,
illustrating
how
tubing
length,
inner
outer
diameter,
as
well
amount
medium
impact
dynamic
behavior
system,
amplifying
importance
fluid
mechanics
design
optimization.
Furthermore,
model-based
strategy
solely
focuses
on
dynamics,
utilizing
hydraulic-electric
analogy
resistor-inductor-capacitor
theory.
Our
PID
controller
improved
by
52.63%
17.17%.
Язык: Английский
Enhancing Hand Exoskeletons in Material Selection and Design
Highlights in Science Engineering and Technology,
Год журнала:
2024,
Номер
120, С. 276 - 282
Опубликована: Дек. 25, 2024
Nowadays,
flexible
hand
exoskeletons
are
increasingly
recognized
for
their
applications
in
both
rehabilitation
medicine
and
industrial
applications.
This
research
endeavors
to
scrutinize
refine
the
choice
of
materials
mechanical
design
exoskeletons,
prioritizing
improvements
user
comfort,
flexibility,
durability,
lightness.
The
employs
a
comprehensive
review
properties
commonly
used
materials,
such
as
silicone,
spandex,
nylon.
It
also
evaluates
suitability
different
structural
designs.
study
finds
that
silicone’s
air
permeability
is
limited
although
it
offers
excellent
comfort
pressure
distribution.
Spandex
provides
superior
flexibility
but
suffers
from
durability
reducing
time
goes
by.
Nylon
stability
less
effective
terms
elasticity
permeability.
findings
advise
combination
these
with
help
innovative
strategies,
can
achieve
balanced
performance.
After
meet
diverse
requirements.
concludes
future
designs
should
keep
exploring
material
combinations
innovations
order
enhance
experience
extend
practical
exoskeleton.
Язык: Английский