Processes,
Journal Year:
2025,
Volume and Issue:
13(4), P. 1041 - 1041
Published: March 31, 2025
This
study
investigates
the
use
of
surface
electromyography
(sEMG)
sensors
in
measuring
muscle
activity
and
mapping
it
onto
wearable
textile
stretch
using
a
basic
deep
learning
model,
Multi-Layer
Perceptron
(MLP).
Wearable
are
gaining
attention
for
their
ability
to
monitor
physiological
data
while
maintaining
user
comfort.
A
three-stage
experimental
approach
was
employed
evaluate
process.
In
first
stage,
impact
applying
low-pass
finite
impulse
response
(FIR)
filter
assessed
by
comparing
filtered
unfiltered
sEMG
data.
The
results
showed
minimal
on
accuracy
(R-squared
~
0.77),
as
RMS
preprocessing
effectively
reduced
noise.
second
adding
tensile
velocity
improved
model’s
predictive
performance
0.80),
emphasizing
importance
integrating
dynamic
variables.
third
from
multiple
groups,
including
biceps
brachii,
forearm
muscles,
triceps
were
incorporated,
achieving
highest
R-squared
value
~0.94.
These
findings
establish
reliable
tools
monitoring
during
exercise.
By
demonstrating
with
MLP
this
provides
foundation
advancing
health
systems
exploring
additional
parameters
activities.
Advanced Functional Materials,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Nov. 6, 2024
Abstract
Fiber‐based
photochromic
wearables
have
attracted
growing
attention
in
sustainable
photo‐patterning
information
displays,
security
encryption,
and
optical
data
recording/storage.
Molybdenum
trioxide
(MoO
3
)
is
one
of
the
key
materials
that
possesses
good
performance,
nevertheless,
it
faces
considerable
challenges
preparing
textiles
with
stable,
scalable,
long
color‐retention
properties.
In
this
work,
a
new
kind
fiber‐based
designed
developed
by
combining
cotton
fabric
MoO
‐based
self‐adhesive
polymer
network
chain
silyl
group.
The
prepared
wearable
has
exhibited
excellent
fatigue
resistance
favorable
reversibility
(>
40
cycles),
rapid
light
response
(reach
color
saturation
UV
dose
60
kJ
m
−2
),
outstanding
retention
capability
90
days),
desirable
biocompatibility
(cell
viability
>
100%).
addition,
could
maintain
fast
even
after
experiencing
repeated
washing
(20
cycles).
Moreover,
are
verified
resisting
deterioration
acid
solution,
alkali
sweat
(pH
2.0–9.0)
as
well
keeping
clear
patterns
under
sunlight
irradiation.
As
demonstration
application,
made
employed
for
applications
rewritable
encryption.
Small,
Journal Year:
2025,
Volume and Issue:
unknown
Published: March 10, 2025
Stretchable
fiber-based
electronics
can
be
triggered
by
joint
activities
of
human
beings
to
produce
varied
resistance
signals,
provoking
extensive
attention
from
sports
fitness,
health
care,
wearables,
and
other
related
fields.
The
linearity
the
response
signal,
as
a
quintessential
parameter,
is
paramount
for
performance
evaluation
stretching
sensors.
In
this
study,
three-strand
braid
(TSB)
fabricated
via
braiding
three
filaments
polypyrrole/polyurethane
(PPy/PU).
Equivalent
circuit
indicates
that
every
adjacent
segments
in
TSB
connect
parallel,
thus
outperforms
single
PPy/PU
filament
electric
conduction.
contrast
filament,
due
its
interlocked
structure
suffers
less
stress
constrains
cracks,
performing
great
(R2
=
0.995
0-75%
strain),
fast
time
(40
ms),
satisfactory
reciprocating
stability
(10
000
cycles).
working
suitability
tests
manifold
elongations,
rates,
initial
functional
spacing
suggest
1,
2,
4
cm
suitable
elongation
range
0.8-1.6,
0.8-2.4,
1.2-4.8
cm,
respectively,
with
rates
4-10
mm
s-1.
service
monitoring
(e.g.,
bending
finger,
wrist,
elbow),
even
potential
applications
like
virtual
reality
(VR)
augmented
(AR).
Polymer Composites,
Journal Year:
2025,
Volume and Issue:
unknown
Published: Feb. 26, 2025
Abstract
People
with
hearing
disabilities
often
struggle
to
benefit
from
technological
advancements,
finding
themselves
confined
isolated
circles
of
sign
language
communication.
To
address
this
issue,
we
have
developed
a
wearable
device
that
translates
into
speech,
facilitating
communication
between
deaf
individuals
and
the
wider
community.
We
employed
special
treatment
dispersion
method
uniformly
double‐dope
Super‐P
(SP)
graphene
in
styrene‐b‐(ethylene‐co‐butylene)‐b‐styrene
(SEBS),
constructing
three‐dimensional
conductive
network
akin
nerve
cells
glial
through
their
synergistic
effect.
This
ultra‐flexible
elastic
stress
sensor
exhibits
high
sensitivity
responsiveness,
along
excellent
cyclic
stability
due
uniform
doping.
It
demonstrated
no
significant
signal
shift
after
more
than
2000
cycles
tensile
release
at
60%
strain.
Thanks
material's
exceptional
performance,
can
recognize
reproduce
movements
less
second,
simultaneously
converting
input
corresponding
speech.
Designed
cost‐effectiveness
mind,
prototype
utilizes
affordable
materials,
electronic
components,
manufacturing
processes,
making
it
suitable
for
mass
production.
Highlights
Uniform
double‐doping
SP
SEBS
creates
3D
network.
Unique
methods
enhance
composite
elastomer
performance.
Ultra‐flexible
shows
over
Device
speech
under
one
second.
Cost‐effective
design
using
materials
Processes,
Journal Year:
2025,
Volume and Issue:
13(4), P. 1041 - 1041
Published: March 31, 2025
This
study
investigates
the
use
of
surface
electromyography
(sEMG)
sensors
in
measuring
muscle
activity
and
mapping
it
onto
wearable
textile
stretch
using
a
basic
deep
learning
model,
Multi-Layer
Perceptron
(MLP).
Wearable
are
gaining
attention
for
their
ability
to
monitor
physiological
data
while
maintaining
user
comfort.
A
three-stage
experimental
approach
was
employed
evaluate
process.
In
first
stage,
impact
applying
low-pass
finite
impulse
response
(FIR)
filter
assessed
by
comparing
filtered
unfiltered
sEMG
data.
The
results
showed
minimal
on
accuracy
(R-squared
~
0.77),
as
RMS
preprocessing
effectively
reduced
noise.
second
adding
tensile
velocity
improved
model’s
predictive
performance
0.80),
emphasizing
importance
integrating
dynamic
variables.
third
from
multiple
groups,
including
biceps
brachii,
forearm
muscles,
triceps
were
incorporated,
achieving
highest
R-squared
value
~0.94.
These
findings
establish
reliable
tools
monitoring
during
exercise.
By
demonstrating
with
MLP
this
provides
foundation
advancing
health
systems
exploring
additional
parameters
activities.
