MiVitals– xed Reality Interface for Monitoring: A HoloLens based prototype for healthcare practices
Computational and Structural Biotechnology Journal,
Год журнала:
2024,
Номер
24, С. 160 - 175
Опубликована: Март 1, 2024
In
this
paper,
we
introduce
MiVitals—a
Mixed
Reality
(MR)
system
designed
for
healthcare
professionals
to
monitor
patients
in
wards
or
clinics.
We
detail
the
design,
development,
and
evaluation
of
MiVitals,
which
integrates
real-time
vital
signs
from
a
biosensor-equipped
wearable,
VitalitiTM.
The
generates
holographic
visualizations,
allowing
interact
with
medical
charts
information
panels
holographically.
These
visualizations
display
signs,
trends,
other
significant
physiological
signals,
early
warning
scores
comprehensive
manner.
conducted
User
Interface/User
Experience
(UI/UX)
study
focusing
on
novel
interfaces
that
intuitively
present
information.
This
approach
brings
traditional
bedside
life
real
environment
through
non-contact
3D
images,
supporting
rapid
decision-making,
pattern
anomaly
detection,
enhancing
clinicians'
performance
wards.
Additionally,
findings
usability
involving
doctors
practitioners
assess
MiVitals'
efficacy.
System
Usability
Scale
yielded
score
84,
indicating
MiVitals
has
high
usability.
Язык: Английский
Analysis of the bronchoalveolar lavage fluid microbial flora in COPD patients at different lung function during acute exacerbation
Kawsar Bahetjan,
Yuxia Yuxia,
Lin ShiJun
и другие.
Scientific Reports,
Год журнала:
2025,
Номер
15(1)
Опубликована: Апрель 16, 2025
There
is
a
correlation
between
the
dysbiosis
of
respiratory
microbiota
and
occurrence,
severity,
frequency,
mortality
Chronic
Obstructive
Pulmonary
Disease
(COPD).
However,
it
not
unclear
if
there
are
differences
in
bronchoalveolar
lavage
fluid
(BALF)
among
patients
at
differente
lung
function.
In
this
study,
BALF
samples
were
collected
from
70
COPD
experiencing
acute
exacerbations
(AECOPD).
The
divided
into
mild
group
(FEV1/pre
≥
50;
PFT
I,
n
=
50)
severe
<
II,
20)
according
to
function:
or
frequent
exacerbation
(FE,
41)
non-frequent
(NFE,
29)
their
history.
Microbiota
analysis
was
conducted
using
mNGS
bioinfromatic
analysis.
Compared
I
group,
II
exhibited
significant
decrease
species
diversity
(Shannon
index),
as
well
reduction
total
count
richness
(Chao1,
ACE
indices).
NFE
demonstrated
similar
that
FE
group.
Conversely,
microbial
comparable
most
abundant
bacterial
genera
Streptococcus,
Prevotella,
Veillonella,
Rod-shaped
Bacillus,
Rothia.
Aspergillus
dominant
fungal
genus
AECOPD.
Lymphocryptovirus
prevalent
virus
AECOPD.Compared
Corynebacterium's
abundance
significantly
increased
Furthermore,
showed
notable
increase
Streptococcus
mitis
relative
Bubble
plot
revealed
Moraxella,
Fusobacterium,
Haemophilus,
Pseudomonas,
Streptomyces,
Klebsiella
including
typical
Actinomyces,
Gordonia.
Bacteroides
Prevotella's
abundance.
Spearman
strong
positive
correlations
certain
communities.
exists
variation
composition
across
groups
AECOPD
different
Specifically,
with
airflow
limitations
exhibit
diversity.
Additionally,
distinct
taxa
enriched
characterized
by
varying
levels
limitation
frequency.
These
observations
offer
vital
insights
pathogenesis
AECOPD,
suggesting
potentially
crucial
role
for
its
development.
Such
findings
pave
way
identifying
potential
therapeutic
targets
intervention
strategies,
ultimately
aiming
improve
treatment
outcomes
patients.
Язык: Английский
Analysis of blood microbiome dysbiosis in pulmonary sarcoidosis by decision tree model
Biotechnology & Biotechnological Equipment,
Год журнала:
2023,
Номер
37(1)
Опубликована: Март 10, 2023
Pulmonary
sarcoidosis
is
a
complex
inflammatory
disease
characterized
by
granulomas
in
the
lung
tissue,
leading
to
breathing
difficulties
and
chest
pain.
Its
etiology
remains
not
fully
understood,
with
factors
such
as
allergies,
autoimmune
responses
genetics
playing
role.
This
study
explores
potential
of
blood
microbiome
dysbiosis,
defined
an
imbalance
microbial
ecosystem,
missing
piece
puzzle
understanding
disease.
Our
objective
was
apply
decision-tree
supervised
machine
learning
hierarchical
model
distinguish
patterns
dysbiosis
samples
from
patients
pulmonary
compared
healthy
age-matched
controls.
Blood
analysis,
being
individually-specific
stable,
offers
unique
perspective.
Utilizing
16S
rRNA
gene
amplicon
sequencing,
we
analyzed
composition
non-normally
distributed
sparse
data.
Because
rarity
Bulgaria,
studied
relatively
small
patient
group,
n
=
7.
The
findings
were
21
Bioinformatics
statistical
analysis
play
pivotal
role
especially
when
discerning
associations
between
taxonomic
disorders
sarcoidosis.
By
analyzing
diversity,
identified
alterations
individuals
those
sarcoidosis,
which
potentially
may
trigger
Advanced
techniques
provided
additional
power
that
might
be
overlooked
usual
group
statistics,
confirming
differentiation
diversity
within
microbiome.
Язык: Английский
Health-MR: A Mixed Reality-Based Patient Registration and Monitor Medical System
Proceedings of the 28th Annual International Conference on Mobile Computing And Networking,
Год журнала:
2024,
Номер
unknown, С. 2113 - 2119
Опубликована: Дек. 4, 2024
In
medical
procedures
such
as
surgery
and
diagnosis,
it
is
crucial
to
provide
doctors
nurses
with
up-to-date
patient
information.
this
paper,
we
propose
Health-MR,
a
portable
Mixed-Reality
(MR)
system
that
helps
staff
monitor
conditions.
Health-MR
consists
of
three
components:
(1)
Patient
Identification
Recognition
using
face
detection,
(2)
Medical
Cloud
Database
for
information
retrieval,
(3)
Non-invasive
Heart
Rate
Measurement
via
image
processing
Fast
Fourier
Transform
(FFT).
Our
evaluation
demonstrates
significantly
reduces
the
time
needed
query
provides
remote,
accurate,
real-time
heart
rate
monitoring.
Язык: Английский