Patient performance assessment methods for upper extremity rehabilitation in assist-as-needed therapy strategies: a comprehensive review
Medical & Biological Engineering & Computing,
Journal Year:
2025,
Volume and Issue:
unknown
Published: Feb. 7, 2025
This
paper
aims
to
comprehensively
review
patient
performance
assessment
(PPA)
methods
used
in
assist-as-needed
(AAN)
robotic
therapy
for
upper
extremity
rehabilitation.
AAN
strategies
adjust
assistance
according
the
patient's
performance,
aiming
enhance
engagement
and
recovery
individuals
with
motor
impairments.
categorizes
implemented
PPA
literature
first
time
such
a
wide
scope
suggests
future
research
directions
improve
adaptive
personalized
therapy.
At
first,
studies
are
examined
evaluate
methods,
which
subsequently
categorized
their
underlying
implementation
strategies:
position
error-based
force-based
electromyography
(EMG),
electroencephalography
(EEG)-based
indicator-based
physiological
signal-based
methods.
The
advantages
limitations
of
each
method
discussed.
In
addition
classification
current
study
also
examines
clinically
tested
applied
rehabilitation
clinical
outcomes.
Clinical
findings
from
these
trials
demonstrate
potential
improving
function
engagement.
Nevertheless,
more
extensive
testing
is
necessary
establish
long-term
benefits
over
conventional
therapies.
Ultimately,
this
guide
developments
field
rehabilitation,
providing
researchers
insights
into
optimizing
enhanced
Language: Английский
Kinetic elements and brushstroke dynamics in painting through the lens of biomechanics
Molecular & cellular biomechanics,
Journal Year:
2025,
Volume and Issue:
22(2), P. 763 - 763
Published: Jan. 17, 2025
This
study
explores
the
biomechanics
of
brushstroke
dynamics
in
painting,
focusing
on
physical
demands
different
types
and
their
underlying
kinetic
elements.
Through
an
experimental
method
combining
motion
capture,
force
sensors,
electromyography,
we
analyzed
joint
angles,
Muscle
Activation
(MA)
patterns,
application
across
four
types:
broad
strokes,
fine
detail,
stippling,
circular
motions.
Key
findings
revealed
that
strokes
required
most
extensive
range
motion,
with
shoulder
elbow
angles
averaging
45°–60°
30°–40°,
respectively,
reflecting
involvement
larger
muscle
groups
creating
expansive
movements.
Fine
detail
contrast,
relied
predominantly
wrist
flexion
extension
(15°–20°),
necessitating
greater
precision
stability
from
distal
muscles.
Force
analysis
showed
stippling
generated
highest
mean
(10.2
N)
due
to
repetitive
dabbing
motions,
whereas
exhibited
minimal
variability,
indicating
controlled,
delicate
engagement.
Electromyography
data
indicated
peak
MA
extensor
carpi
radialis
flexor
during
highlighting
unique
rotational
motor
control
painting.
These
underscore
complex
interplay
movement,
force,
for
painting
techniques,
contributing
valuable
insights
optimizing
technique
preventing
strain
artists.
research
provides
a
foundational
biomechanical
understanding
execution,
implications
art
education,
rehabilitation,
ergonomic
interventions
arts.
Language: Английский
A Soft Robotic Textile‐Actuated Anthropomorphic Artificial Shoulder Mechanism
Bibhu Sharma,
No information about this author
James Davies,
No information about this author
Emanuele Nicotra
No information about this author
et al.
Advanced Intelligent Systems,
Journal Year:
2025,
Volume and Issue:
unknown
Published: Feb. 2, 2025
Replicating
the
human
shoulder
in
anthropomorphic
systems
is
notoriously
challenging
due
to
its
complex
combination
of
mobility
and
strength.
This
study
presents
design,
fabrication,
control
a
new
soft
artificial
that
achieves
broad
range
motion,
torque,
compliance.
Powered
by
robotic
textiles
consisting
network
hydraulic
muscles,
engineered
effectively
mimics
intricate
movements,
including
flexion/extension,
abduction/adduction,
medial/lateral
rotation.
Experiments
demonstrate
can
generate
peak
torque
9.6
±
0.1
Nm,
covering
65.3%
workspace.
The
capability
demonstrated
through
several
experimental
testbeds.
First,
it
employed
develop
gesture‐controlled
telemanipulation
system,
applicable
robot‐assisted
surgery,
hazardous
environment
operations,
gaming,
rehabilitation.
Second,
serves
as
platform
for
simulating
studying
neurological
disorders,
such
Parkinson's
disease.
approach
offers
reliable
vitro
testing
ground
wearable
device
validation,
providing
crucial
intermediary
step
before
progressing
user
studies.
marks
significant
advancement
next‐generation
systems,
closely
mimicking
musculoskeletal
with
promising
applications
assistive
devices,
haptics,
orthopedic
testing,
medical
technologies.
Language: Английский