Applied Sciences,
Год журнала:
2023,
Номер
13(23), С. 12630 - 12630
Опубликована: Ноя. 23, 2023
The
development
of
e-healthcare
systems
requires
the
application
advanced
technologies,
such
as
blockchain
technology.
main
challenge
applying
technology
to
is
handle
impact
delay
that
results
from
procedures
during
communication
and
voting
phases.
impacts
latency
in
blockchains
negatively
influence
systems’
efficiency,
performance,
real-time
processing,
quality
service.
Therefore,
this
work
proposes
a
modified
model
allows
delays
be
avoided
critical
situations
healthcare.
Firstly,
analyzes
specifications
healthcare
data
processes
study
classify
transactions
according
their
nature
sensitivity.
Secondly,
it
introduces
concept
fair-proof-of-stake
consensus
protocol
for
block
creation
correctness
rather
than
famous
ones
proof-of-work
or
proof-of-stake.
Thirdly,
presents
simplified
procedure
verification,
where
classifies
into
three
categories
time
period
limit
trustworthiness
level.
Consequently,
there
are
kinds
blocks,
since
every
category
stored
specific
kind
block.
ideas
limits
fit
with
authority
levels
systems.
we
reduce
validation
process
trusted
blocks
transactions.
All
proposed
modifications
help
computational
costs,
speed
up
processing
times,
enhance
security
privacy.
experimental
show
total
execution
using
reduced
by
about
49%
compared
traditional
models.
Additionally,
number
messages
53%
model.
Sensors,
Год журнала:
2023,
Номер
23(17), С. 7435 - 7435
Опубликована: Авг. 25, 2023
Healthcare
4.0
is
a
recent
e-health
paradigm
associated
with
the
concept
of
Industry
4.0.
It
provides
approaches
to
achieving
precision
medicine
that
delivers
healthcare
services
based
on
patient's
characteristics.
Moreover,
enables
telemedicine,
including
telesurgery,
early
predictions,
and
diagnosis
diseases.
This
represents
an
important
for
modern
societies,
especially
current
situation
pandemics.
The
release
fifth-generation
cellular
system
(5G),
advances
in
wearable
device
manufacturing,
technologies,
e.g.,
artificial
intelligence
(AI),
edge
computing,
Internet
Things
(IoT),
are
main
drivers
evolutions
systems.
To
this
end,
work
considers
introducing
advances,
trends,
requirements
Medical
(IoMT)
ultimate
such
networks
era
5G
next-generation
discussed.
design
challenges
research
directions
these
networks.
key
enabling
technologies
systems,
AI
distributed
ACM Computing Surveys,
Год журнала:
2024,
Номер
56(7), С. 1 - 42
Опубликована: Фев. 15, 2024
Wearable
devices,
or
wearables,
designed
to
be
attached
the
human
body,
can
gather
personalized
real-time
data
and
continuously
monitor
an
individual’s
health
status
physiological
disposition
in
a
non-invasive
manner.
Intelligent
wearables
integrate
advanced
machine
learning
algorithms
process
complex
patterns
provide
accurate
insights.
As
result,
intelligent
have
emerged
as
ground-breaking
innovation
fields
of
sports
health,
introducing
new
paradigm
kinematic
analysis
patient
evaluation.
For
example,
virtual
coaches
offer
feedback
on
athletes’
performance,
whereas
physicians
assist
customizing
medication
for
patients.
This
article
provides
overview
various
types
their
applications
sports,
categorizes
algorithms,
introduces
wireless
body
area
sensor
network
(WBASN)
used
communication
wearable
sensors.
Additionally,
we
discuss
potential
challenges
development
directions
that
could
shape
future
propose
effective
solutions
continued
enhancement.
offers
valuable
insights
into
exciting
transform
healthcare
sports.
The Journal of Supercomputing,
Год журнала:
2024,
Номер
81(1)
Опубликована: Дек. 10, 2024
The
integration
of
artificial
intelligence
(AI)
has
caused
information
and
communication
technology
(ICT)
to
undergo
a
number
recent
rapid
fluctuations.
These
changes
have
primarily
affected
the
areas
management,
end-to-end
device
interconnectivity,
resource
organization,
communication,
networking,
application-related
aspects
ICT.
Owing
complex
structure
applicational
connectedness,
evaluating
each
aforementioned
opportunities
concurrently
reflects
idea
heterogeneity.
association
multiple
end
devices,
particularly
in
interoperable
space,
integrity,
privacy
protection,
security,
provenance,
massive
volume
everyday
media
data
generated
modern
healthcare
setting
could
also
provide
significant
issues.
To
address
these
issues,
decentralized,
secure,
economical
optimization,
intelligent
network
activities
organization
are
necessary.
Blockchain
plays
crucial
role
providing
distributed
storage
sharing,
exchange
for
automated
decision-making,
privacy,
security
AI-enabled
machine
learning
(ML)
models.
However,
models—support
vector
machine,
particular—have
impact
on
growth
consortium
networks
among
connected
nodes,
resolving
issues
with
scalability,
processing.
By
three
main
problems
seamless
peer-to-peer
between
infrastructure
we
novel
technique
this
proposed
architecture.
approach
is
unique,
as
demonstrated
by
simulation-based
results,
which
display
huge
differences
1.37%,
1.56%,
1.87%,
respectively.
background
evaluation
consists
following
areas:
(i)
protect
decision-making;
(ii)
integrity
smooth
sharing
exchange;
(iii)
optimization
enable
across
heterogeneous
devices.
Scientific Reports,
Год журнала:
2023,
Номер
13(1)
Опубликована: Ноя. 6, 2023
Abstract
Intelligent
health
monitoring
systems
are
becoming
more
important
and
popular
as
technology
advances.
Nowadays,
online
services
replacing
physical
infrastructure
in
several
domains
including
medical
well.
The
COVID-19
pandemic
has
also
changed
the
way
delivered.
appliances,
smart
homes,
some
of
emerging
concepts.
Internet
Things
(IoT)
communication
occurs
alongside
data
collection
sources
aided
by
sensors.
It
deployed
artificial
intelligence
(AI)
methods
for
better
decision-making
provided
efficient
collection,
storage,
retrieval,
management.
This
research
employs
heart
patients
using
IoT
AI-based
solutions.
Activities
monitored
reported
system.
For
disease
prediction,
an
ensemble
model
ET-CNN
is
presented
which
provides
accuracy
score
0.9524.
investigative
related
to
this
system
very
encouraging
real-time
reporting
classifying
with
great
accuracy.
Over
the
years,
there
have
been
ongoing
efforts
to
use
clothing
as
a
vehicle
for
distributing
digital
capabilities.
Information
technology
(IT)
is
being
incorporated
into
garments
enable
people
work
more
quickly.
Because
of
their
increasing
availability,
accessibility,
and,
most
significantly,
cost,
wireless
body
area
networks
(WBANs)
will
undoubtedly
be
used
in
healthcare
enhance
medical
data
utilization.
Whether
it
has
do
with
post-operative
recovery
or
Monitoring,
applications
function
field
are
already
looked
into.
Wearable
allows
users
complete
activities
efficiently
by
enhancing
one
senses
artificial
information.
The
system
proposes
method
that
displays
critical
information
doctors
on
particular
cloud
analysis.
In
this
concept,
sensors
attached
someone's
coat
collect
real-time
data.
This
analyzed,
uploaded
using
IoT
Medium,
and
notified
case
an
alarming
condition.
access
data,
website
built
module,
alert
notification
warn
hospital
family
if
numbers
abnormal.
A
live
stream
recorded
camera,
while
GPS
module
tracks
location.
doctor
can
take
proper
step
based
patient's
health.
Intelligent Pharmacy,
Год журнала:
2024,
Номер
unknown
Опубликована: Янв. 1, 2024
Employing
the
Internet
of
Things
(IoT)
in
healthcare
provides
many
advantages
for
patient
monitoring
and
analysis
patient's
health
with
help
generated
data.
The
basic
role
IoT
is
to
ease
life
by
giving
them
a
monitor
over
their
medical
condition.
use
devices
requires
focus
on
end-user.
Medical
such
as
glucose
meters
are
designed
record
data
vital
signs.
information
can
be
used
enhance
decision-making
physician.
collected
about
at
risk
due
certain
security
issues
during
transferring
compromise
identity
social
patient.
This
review
explores
regarding
its
structural
requirement
various
fields
special
emphasis
healthcare.
privacy
than
hinder
utilization
potential
ways
overcome
these
being
addressed.
IEEE Access,
Год журнала:
2023,
Номер
11, С. 145869 - 145896
Опубликована: Янв. 1, 2023
The
Healthcare
Internet-of-Things
(H-IoT),
commonly
known
as
Digital
Healthcare,
is
a
data-driven
infrastructure
that
highly
relies
on
smart
sensing
devices
(i.e.,
blood
pressure
monitors,
temperature
sensors,
etc.)
for
faster
response
time,
treatments,
and
diagnosis.
However,
with
the
evolving
cyber
threat
landscape,
IoT
have
become
more
vulnerable
to
broader
risk
surface
(e.g.,
risks
associated
generative
AI,
5G-IoT,
etc.),
which,
if
exploited,
may
lead
data
breaches,
unauthorized
access,
lack
of
command
control
potential
harm.
This
paper
reviews
fundamentals
healthcare
IoT,
its
privacy,
security
challenges
machine
learning
H-IoT
devices.
further
emphasizes
importance
monitoring
layers
such
perception,
network,
cloud,
application.
Detecting
responding
anomalies
involves
various
cyber-attacks
protocols
Wi-Fi
6,
Narrowband
Internet
Things
(NB-IoT),
Bluetooth,
ZigBee,
LoRa,
5G
New
Radio
(5G
NR).
A
robust
authentication
mechanism
based
deep
techniques
required
protect
mitigate
from
increasing
cybersecurity
vulnerabilities.
Hence,
in
this
review
paper,
privacy
mitigation
strategies
building
resilience
are
explored
reported.
Sensors,
Год журнала:
2023,
Номер
23(10), С. 4580 - 4580
Опубликована: Май 9, 2023
With
technological
advancements,
smart
health
monitoring
systems
are
gaining
growing
importance
and
popularity.
Today,
business
trends
changing
from
physical
infrastructure
to
online
services.
the
restrictions
imposed
during
COVID-19,
medical
services
have
been
changed.
The
concepts
of
homes,
appliances,
gained
Internet
Things
(IoT)
has
revolutionized
communication
data
collection
by
incorporating
sensors
for
diverse
sources.
In
addition,
it
utilizes
artificial
intelligence
(AI)
approaches
control
a
large
volume
better
use,
storing,
managing,
making
decisions.
this
research,
system
based
on
AI
IoT
is
designed
deal
with
heart
patients.
monitors
patient’s
activities,
which
helps
inform
patients
about
their
status.
Moreover,
can
perform
disease
classification
using
machine
learning
models.
Experimental
results
reveal
that
proposed
real-time
classify
diseases
higher
accuracy.
