Wearable sensors in paediatric neurology
Developmental Medicine & Child Neurology,
Journal Year:
2025,
Volume and Issue:
unknown
Published: Jan. 31, 2025
Wearable
sensors
have
the
potential
to
transform
diagnosis,
monitoring,
and
management
of
children
who
neurological
conditions.
Traditional
methods
for
assessing
disorders
rely
on
clinical
scales
subjective
measures.
The
snapshot
disease
progression
at
a
particular
time
point,
lack
cooperation
by
during
assessments,
susceptibility
bias
limit
utility
these
sensors,
which
capture
data
continuously
in
natural
settings,
offer
non-invasive
objective
alternative
traditional
methods.
This
review
examines
role
wearable
various
paediatric
conditions,
including
cerebral
palsy,
epilepsy,
autism
spectrum
disorder,
attention-deficit/hyperactivity
as
well
Rett
syndrome,
Down
Angelman
Prader-Willi
neuromuscular
such
Duchenne
muscular
dystrophy
spinal
atrophy,
ataxia,
Gaucher
disease,
headaches,
sleep
disorders.
highlights
their
application
tracking
motor
function,
seizure
activity,
daily
movement
patterns
gain
insights
into
therapeutic
response.
Although
challenges
related
population
size,
compliance,
ethics,
regulatory
approval
remain,
technology
promises
improve
trials
outcomes
patients
neurology.
Language: Английский
International workshop: what is needed to ensure outcome measures for Rett syndrome are fit-for-purpose for clinical trials? June 7, 2023, Nashville, USA
Trials,
Journal Year:
2024,
Volume and Issue:
25(1)
Published: Dec. 21, 2024
Language: Английский
A Cloud Infrastructure for Health Monitoring in Emergency Response Scenarios
Sensors,
Journal Year:
2024,
Volume and Issue:
24(21), P. 6992 - 6992
Published: Oct. 30, 2024
Wearable
devices
have
a
significant
impact
on
society,
and
recent
advancements
in
modern
sensor
technologies
are
opening
up
new
possibilities
for
healthcare
applications.
Continuous
vital
sign
monitoring
using
Internet
of
Things
solutions
can
be
crucial
tool
emergency
management,
reducing
risks
rescue
operations
ensuring
the
safety
workers.
The
massive
amounts
data,
high
network
traffic,
computational
demands
typical
application
challenging
to
manage
with
traditional
infrastructure.
Cloud
computing
provides
solution
its
built-in
resilience
elasticity
capabilities.
This
study
presents
Cloud-based
architecture
remote
tracking
paramedics
medical
workers
through
use
mobile
wearable
device.
system
monitors
signs
such
as
electrocardiograms
breathing
patterns
during
work
sessions,
it
is
able
real-time
alarm
events
personnel
management
center.
In
this
study,
900
were
monitored
over
period
12
months.
Data
from
these
collected,
processed
via
infrastructure,
analyzed
assess
system's
reliability
scalability.
results
showed
improvement
worker
operational
efficiency.
demonstrates
potential
systems
enhancing
response
efforts.
Language: Английский