Highly accurate deformation adaptive pressure sensor integrated with programmatically fabricated strain localizing yarn
Yiming Ke,
No information about this author
Weibing Zhong,
No information about this author
Xiaojuan Ming
No information about this author
et al.
Chemical Engineering Journal,
Journal Year:
2025,
Volume and Issue:
unknown, P. 160141 - 160141
Published: Feb. 1, 2025
Language: Английский
In-shoe plantar pressure measurement technologies for the diabetic foot: A systematic review
Heliyon,
Journal Year:
2024,
Volume and Issue:
10(9), P. e29672 - e29672
Published: April 15, 2024
Loss
of
cutaneous
protective
sensation
and
high
plantar
pressures
increase
the
risk
for
diabetic
foot
patients.
Trauma
ulceration
are
imminent
threats,
making
assessment
monitoring
essential.
This
systematic
review
aims
to
identify
systems
technologies
measuring
in-shoe
pressures,
focusing
on
at-risk
population.
Language: Английский
Waterproof, stretchable and wearable corrugated conductive carbon fiber strain sensors for underwater respiration monitoring and swimming instruction
Jingsong He,
No information about this author
Yizhou Li,
No information about this author
Fanping Yang
No information about this author
et al.
Applied Materials Today,
Journal Year:
2024,
Volume and Issue:
38, P. 102165 - 102165
Published: March 19, 2024
Language: Английский
A wireless, self-powered smart insole for gait monitoring and recognition via nonlinear synergistic pressure sensing
Qi Wang,
No information about this author
Hui Guan,
No information about this author
Chen Wang
No information about this author
et al.
Science Advances,
Journal Year:
2025,
Volume and Issue:
11(16)
Published: April 16, 2025
Wearable
insole-based
pressure
sensor
systems
have
gained
attention
for
continuous
gait
monitoring,
showing
potential
preventing,
diagnosing,
and
treating
conditions
such
as
lumbar
degenerative
disease
diabetic
foot
ulcers.
However,
challenges
nonlinear
response,
low
stability,
energy
limitations
hindered
widespread
adoption.
Here,
we
report
a
fully
integrated,
self-powered,
wireless
smart
insole
designed
plantar
monitoring
real-time
visualization
analysis
of
gait.
The
uses
synergistic
strategy,
achieving
remarkable
linearity
(
R
2
>
0.999
over
0
to
225
kilopascals)
high
durability
(>180,000
compression
cycles).
Powered
by
flexible
solar
cells,
the
features
22
sensors,
enabling
spatially
resolved
mapping
on
smartphone
interface.
Integration
support
vector
machine
model
further
enables
accurate
recognition
eight
motion
states,
including
static
(e.g.,
sitting
standing)
dynamic
walking,
running,
squatting)
activities.
provides
practical
solution
improving
clinical
assessments,
personalized
treatments,
biomechanics
research.
Language: Английский
IoT-Based Wireless System for Gait Kinetics Monitoring in Multi-Device Therapeutic Interventions
Sensors,
Journal Year:
2024,
Volume and Issue:
24(17), P. 5799 - 5799
Published: Sept. 6, 2024
This
study
presents
an
IoT-based
gait
analysis
system
employing
insole
pressure
sensors
to
assess
kinetics.
The
integrates
piezoresistive
within
a
left
foot
insole,
with
data
acquisition
managed
using
ESP32
board
that
communicates
via
Wi-Fi
through
MQTT
IoT
framework.
In
this
initial
protocol
study,
we
conducted
comparative
the
Zeno
system,
supported
by
PKMAS
as
gold
standard,
explore
correlation
and
agreement
of
obtained
from
system.
Four
volunteers
(two
males
two
females,
aged
24–28,
without
disorders)
participated
walking
along
10
m
path,
equipped
sensors,
while
wearing
Vertical
ground
reaction
force
(vGRF)
were
collected
over
four
cycles.
preliminary
results
indicated
strong
positive
(r
=
0.87)
between
reference
measurements.
A
Bland–Altman
further
demonstrated
mean
difference
approximately
(0.011)
systems,
suggesting
minimal
yet
significant
bias.
These
findings
suggest
may
offer
promising
cost-effective
solution
for
disorder
assessment
monitoring.
However,
operational
factors
such
high
temperatures
sensor
placement
footwear
can
introduce
noise
or
unwanted
signal
activation.
communication
framework
proved
functional
reliable
during
protocol,
plans
future
expansion
multi-device
applications.
It
is
important
note
additional
validation
studies
larger
sample
sizes
are
required
confirm
system’s
reliability
robustness
clinical
research
Language: Английский
Gait analysis and improvement in sports based on optical holographic imaging and pressure sensor
Junxian Lin
No information about this author
Research Square (Research Square),
Journal Year:
2024,
Volume and Issue:
unknown
Published: Jan. 15, 2024
Abstract
Gait
analysis
is
an
important
indicator
for
evaluating
athletes'
technical
level
and
physical
condition,
but
traditional
methods
have
limitations
on
the
accuracy
real-time
performance
of
gait.
Therefore,
this
article
proposes
a
novel
gait
method
using
optical
holographic
imaging
technology
pressure
sensor
technology.
This
establishes
experimental
system
consisting
device
sensor,
which
captures
data
athletes
converts
it
into
digital
signals.
By
technology,
obtain
3D
images
athletes,
as
well
detailed
information
such
joint
angles
motion
trajectories.
Pressure
sensors
can
measure
distribution
feet
in
real-time,
providing
more
comprehensive
data.
Subsequently,
collected
analyzed
identified,
accurate
patterns
are
established
through
training
models
classifying
different
types.
The
research
results
indicate
that
based
great
potential
be
applied
to
improvement
sports.
Language: Английский
Research progress of the plantar pressure monitoring system for gait analysis
Ting Xu,
No information about this author
Zhe Sun,
No information about this author
Jian Fang
No information about this author
et al.
Chinese Science Bulletin (Chinese Version),
Journal Year:
2023,
Volume and Issue:
69(4-5), P. 565 - 577
Published: Sept. 27, 2023
With
the
aging
of
population
in
China,
people’s
demand
for
health
monitoring
is
gradually
increasing.
As
an
effective
way
monitoring,
gait
analysis
increasingly
widely
used
disease
diagnosis,
fall
prevention,
rehabilitation,
human-computer
interaction
and
other
fields.
Gait
reflects
interconnectedness
multiple
physiological
systems,
including
balance,
strength,
cardiovascular
capacity,
a
person’s
can
tell
us
lot
about
their
health.
systematic
study
human
walking
movements
important
evaluation
tool
analyzing
individual
life
signals,
which
be
accomplished
by
collecting,
describing
characterizing
kinetic
mechanical
data
gait.
Firstly,
this
paper
introduces
importance
research
status
plantar
pressure
as
well
characteristics
various
systems.
Secondly,
foot
are
summarized,
common
division
methods
center
point
pressures
phases.
Then,
materials
key
device
acquisition,
flexible
sensors,
systematically
analyzed.
In
meantime,
integration
connection
modes
step
recognition
algorithms
also
summarized.
Detailedly,
according
to
sensing
principle,
sensor
divided
into
piezoelectric,
capacitive,
piezoresistive,
triboelectric,
photoelectric,
magnetic
induction
pneumatic
sensors.
Piezoelectric
sensors
do
not
require
external
power
supply,
have
high
sensitivity
long
service
life,
but
cannot
monitor
static
forces,
preparation
process
more
complicated
than
that
The
triboelectric
has
advantages
types,
wide
range
available
materials,
simple
structures,
self-power
supply
good
biocompatibility.
capacitive
fast
response,
its
portability
poor
easy
interfered
environmental
factors.
piezoresistive
flexibility
sensitivity.
photoelectric
anti-electromagnetic
interference,
sensitivity,
light
weight
so
on.
conversion
efficiency
response
ability,
there
errors
caused
hysteresis,
it
very
sensitive
field
interference.
Pneumatic
sluggish
bulky.
Finally,
design
direction
further
system
discussed.
At
present,
although
been
on
at
home
abroad,
following
three
aspects
need
improved
order
realize
large-scale
normalized
monitoring.
First,
meet
needs
customization,
some
specific
diseases
special
populations,
able
flexibly
adjusted.
Second,
formulate
complete
industry
standards.
For
smart
insoles,
shoes
socks,
enable
telemedicine
services
long-term
sole
necessary
standardize
principles
ensure
safety
use.
Third,
improve
processing
technology.
Through
fusion
algorithms,
feature
classification
extraction
carried
out
accuracy
judgment
reduce
misjudgment
rate.
Internet
Things
technology
utilized
transmission,
obtain
greater
storage
space.
Language: Английский