Research Square (Research Square),
Год журнала:
2022,
Номер
unknown
Опубликована: Июнь 10, 2022
Abstract
Background:
During
the
COVID-19
pandemic,
which
emerged
in
2020,
many
patients
were
treated
isolation
wards
because
of
high
infectivity
and
long
incubation
period
COVID-19.
Therefore,
monitoring
systems
have
become
critical
to
patient
care
safeguard
medical
professional
safety.
Objective:
The
user
interface
is
very
important
surveillance
system;
therefore,
we
use
web
technology
develop
a
system
that
can
create
an
based
on
needs.
When
scene
needs
be
changed,
location
changed
at
any
time,
effectively
reducing
costs
time
required,
so
achieve
timely
appropriate
goals
treatment.
Methods:
ZigBee
was
employed
for
intensive
units
(ICUs).
Unlike
conventional
GUIs,
proposed
GUI
enables
various
aspects
patient,
modified
according
A
simulated
ICU
environment
designed
test
effectiveness
system.
nodes
set
up
positions
consistent
with
actual
clinical
environments
measure
required
switch
between
scenes
or
targets
GUI.
Results:
low-cost
construct
ZigBee-simulated
graphical
interfaces
demand
this
study.
overcome
limitations
design
methods
interfaces.
Conclusion:
This
used
simultaneously
monitor
basic
physiological
data
numerous
patients,
enabling
nursing
professionals
instantly
determine
status
provide
treatments.
applied
remote
after
official
adoption.
Heliyon,
Год журнала:
2023,
Номер
9(7), С. e17282 - e17282
Опубликована: Июнь 16, 2023
The
non-destructive
thermal
characterization
of
building
envelopes
relies
significantly
on
various
factors
such
as
climate
conditions,
monitoring
devices
used,
indoor
environment,
and
conditioning
systems.
In
the
case
both
temperature-based
method
(TBM)
heat
flux
meter
(HFM)
approaches,
U-value
is
determined
considering
ideal
condition
steady
state.
However,
it
challenging
to
accurately
define
true
buildings
when
affected
by
inherent
uncertainties
chosen
approach
inadequate
instrumentation
envelopes.
This
paper
presents
outcomes
an
experimental
campaign,
that
aimed
evaluate
impact
incorrectly
positioned
exterior
sensors,
precision
measurements.
study
simultaneously
employed
TBM
HFM
approaches.
To
enhance
accuracy
results,
rigorous
outlier
detection
statistical
analysis
were
data
collected
from
three
autonomous
findings
this
revealed
applied
yielded
more
satisfactory
results
for
compared
HFM.
regardless
effectiveness
relied
heavily
When
removing
individual
outlier,
systems
characterized
with
higher
accuracies
provided
U-values
closer
theoretical
values,
than
less
accurate
ones.
International Journal of Medical Informatics,
Год журнала:
2024,
Номер
185, С. 105408 - 105408
Опубликована: Март 11, 2024
Health
and
Wellbeing
Living
Labs
are
a
valuable
research
infrastructure
for
exploring
innovative
solutions
to
tackle
complex
healthcare
challenges
promote
overall
wellbeing.
A
knowledge
gap
exists
in
categorizing
understanding
the
types
of
ICT
tools
technical
devices
employed
by
Labs.
Define
comprehensive
taxonomy
that
effectively
categorizes
organizes
digital
data
collection
intervention
Lab
studies.
modified
consensus-seeking
Delphi
study
was
conducted,
starting
with
pre-study
involving
survey
semistructured
interviews
(N=30)
gather
information
on
existing
equipment.
The
follow-up
three
rounds
panel
living
lab
experts
(R1
N=18,
R2
-
3
N=15)
from
10
different
countries
focused
achieving
consensus
category
definitions,
ease
reading,
included
subitems
each
category.
Due
controversial
results
2nd
round
qualitative
feedback,
an
online
workshop
organized
clarify
contradictory
issues.
resulting
52
subitems,
which
were
divided
into
levels
as
follows:
first
level
consists
'devices
monitoring
collection'
'technologies
intervention.'
At
second
level,
'data
is
further
'environmental'
'human'
monitoring.
latter
includes
following
third-level
categories:
'biometrics,'
'activity
behavioral
monitoring,'
'cognitive
ability
mental
processes,'
'electrical
biosignals
physiological
measures,'
'(primary)
vital
signs,'
'body
size
composition.'
intervention'
'assistive
technology,'
'extended
reality
–
XR
(VR
&
AR),'
'serious
games'
categories.
common
language
standardized
terminology
established
enable
effective
communication
labs
their
customers.
opens
roadmap
studies
map
related
based
functionality,
features,
target
populations,
intended
outcomes,
fostering
collaboration
enhancing
capture
exploitation.
Heliyon,
Год журнала:
2024,
Номер
10(11), С. e31716 - e31716
Опубликована: Май 23, 2024
Highlights•This
study
proposes
a
machine
learning
model
for
virtual
hygrothermal
measurement
in
enclosed
buildings.•We
use
artificial
hydrocarbon
networks
as
the
core
intelligent
climate
monitoring
system.•We
consider
two
case
scenarios,
i.e.
museum
and
laboratory,
experimental
analysis.•Results
provide
95%
accuracy
with
0.22%
tolerance
variability
after
sensor
accommodation,
both
scenarios.AbstractStudies
analyzing
indoor
thermal
environments
comprising
temperature
humidity
may
be
insufficient
when
obtaining
data
from
sensors,
which
susceptible
to
inaccurate
or
failed
information
internal
external
factors.
Therefore,
this
an
using
supervised
method
buildings
used
predict
relative
failure
is
detected.
The
methodology
comprises
collection
wireless
network,
building
of
predicting
dynamics
environmental
variables,
implementation
detection
model.
We
network
their
simplicity
effectiveness
under
uncertain
noisy
data.
experiments
acquired
settings:
(1)
laboratory
office
(2)
storage
room.
first
scenario
has
multiple
workstations,
staff
turns
on
off
air
conditioning
depending
feeling
comfort,
generating
uncontrolled
environment
variables
interest.
second
controlled
ensure
conservation
conditions
pieces.
Both
scenarios
12
sensors
that
one
month,
providing
average
58,300
values
each
variable.
Results
proposed
terms
identification,
less
than
accommodation
scenarios.
