Indian Journal of Physiology and Pharmacology,
Год журнала:
2024,
Номер
68, С. 208 - 215
Опубликована: Окт. 4, 2024
Objectives:
The
study
aimed
to
compare
the
heart
rate
variability
(HRV)
indices,
a
measure
of
cardiac
autonomic
modulation,
and
birth
outcomes
in
mothers
with
below-adequate
adequate
gestational
weight
gain.
Materials
Methods:
Eighty
(with
low
normal
body
mass
index
[BMI])
were
recruited
their
first
trimester.
Fifty-one
followed
up
throughout
pregnancy.
Maternal
electrocardiogram
(ECG)
anthropometry
collected
at
each
Power
spectral
analysis
was
performed
on
ECG,
HRV
indices
derived.
Birth
anthropometric
data
birth.
Participants
classified
based
Institute
Medicine
(IOM)
recommendations
for
gain
into
below
(BWG)
group
(AWG)
(cutoff
12.5
kg
BMI
11.5
mothers).
Results:
Mean
during
pregnancy
9.6
±
3.4
kg.
Delta
frequency
(LF),
marker
sympathetic
activity
(difference
between
1
st
3
rd
trimester),
lower
(
P
<
0.05)
among
BWG
(−377.5
686
ms
2
)
compared
AWG
(−741.1
581
).
Spearman’s
correlation
demonstrated
positive
association
delta
LF
(r
=
0.34,
BWG.
Conclusion:
Irrespective
status,
gained
than
(revised)
IOM
recommendations.
had
decreased
modulations
positively
correlated
greater
even
women
BWG,
thus
highlighting
need
monitor
modulations,
along
effectively.
Journal of Medical Internet Research,
Год журнала:
2023,
Номер
25, С. e47112 - e47112
Опубликована: Окт. 11, 2023
Background
Recent
studies
have
linked
low
heart
rate
variability
(HRV)
with
COVID-19,
indicating
that
this
parameter
can
be
a
marker
of
the
onset
disease
and
its
severity
predictor
mortality
in
infected
people.
Given
large
number
wearable
devices
capture
physiological
signals
human
body
easily
noninvasively,
several
used
equipment
to
measure
HRV
individuals
related
these
measures
COVID-19.
Objective
The
objective
study
was
assess
utility
measurements
obtained
from
as
predictive
indicators
well
worsening
symptoms
affected
individuals.
Methods
A
systematic
review
conducted
searching
following
databases
up
end
January
2023:
Embase,
PubMed,
Web
Science,
Scopus,
IEEE
Xplore.
Studies
had
include
(1)
patients
COVID-19
(2)
involving
use
devices.
We
also
meta-analysis
reduce
possible
biases
increase
statistical
power
primary
research.
Results
main
finding
association
between
symptoms.
In
some
cases,
it
predict
before
positive
clinical
test.
reported
reduction
parameters
is
associated
Individuals
presented
SD
normal-to-normal
interbeat
intervals
root
mean
square
successive
differences
compared
healthy
decrease
3.25
ms
(95%
CI
−5.34
−1.16
ms),
1.24
−3.71
1.23
ms).
Conclusions
Wearable
changes
HRV,
such
smartwatches,
rings,
bracelets,
provide
information
allows
for
identification
during
presymptomatic
period
through
an
indirect
noninvasive
self-diagnosis.
International Journal of Women s Health,
Год журнала:
2025,
Номер
Volume 17, С. 865 - 877
Опубликована: Март 1, 2025
Gestational
diabetes
mellitus
(GDM)
is
a
common
complication
during
pregnancy
that
poses
considerable
risks
to
both
maternal
and
fetal
health.
However,
its
effect
on
cardiac
autonomic
function,
measured
by
heart
rate
variability
(HRV),
remains
uncertain.
This
study
aims
investigate
potential
alterations
in
function
women
diagnosed
with
GDM.
In
this
cross-sectional
study,
80
Kazakh
pregnant
their
third
trimester
GDM
were
enrolled
from
the
endocrinology
department
of
Aktobe
Medical
Center
between
January
April
2023.
A
control
group
30
third-trimester
without
was
also
selected
outpatient
clinics
City.
HRV
participants
seated
position.
nomogram
developed
predict
risk,
integrating
relevant
parameters
associated
condition.
Women
found
be
older
than
those
(p=0.005),
though
there
no
significant
differences
education
level,
employment
status,
or
parity
two
groups.
larger
size
(p=0.035)
higher
incidence
miscarriages
abortions
(p<0.05)
compared
group.
Additionally,
obesity
more
prevalent
among
(p<0.05).
showed
healthy
women.
The
demonstrated
good
predictive
accuracy,
an
area
under
curve
0.7847
training
cohort.
may
prove
useful
for
clinicians
patients
making
informed
clinical
decisions
assessing
outcomes.
Notably,
observed
uncomplicated
pregnancies
Biological Research For Nursing,
Год журнала:
2025,
Номер
unknown
Опубликована: Март 24, 2025
Maternal
mental
health
conditions
significantly
contribute
to
pregnancy-related
mortality
in
the
United
States.
Approximately
20–25%
of
postnatal
women
exhibit
symptoms
depressive
and
anxiety
disorders.
Mental
is
influenced
by
stress,
which
affects
mood,
cognition,
behavior.
Heart
rate
variability
(HRV),
time
interval
between
consecutive
heartbeats,
a
physiological
marker
for
assessing
stress
levels,
providing
critical
insights
into
body’s
autonomic
responses.
Wearable
devices
measuring
HRV
offer
non-invasive
method
monitor
health,
enabling
early
detection
maternal
dynamics
facilitate
timely
interventions.
In
this
scoping
review,
we
aimed
capture
current
state
science
on
two
areas
focus:
(1)
utilization
wearable
technology
monitoring
pregnant
postpartum
women,
(2)
findings
from
these
perinatal
studies,
including
observed
trends
throughout
pregnancy
postpartum,
as
well
association
HRV,
health.
The
six
included
studies
employed
five
fitness
tracking
wearables,
utilizing
either
periodic
or
continuous
24-h
monitoring.
Findings
include
evidence
that
declines
during
pregnancy,
with
return
normal
levels
postpartum.
Associations
were
inconsistent
across
some
demonstrating
correlations
others
reporting
no
relationship.
Postpartum
measurements
effectively
differentiated
depression
(PPD)
versus
those
adjustment
disorder
(AJD),
high
diagnostic
accuracy.
shows
promise
biomarker
among
pregnant/postpartum
people,
although
more
work
needed
standardize
optimal
methods
measurement
population.
Abstract
Introduction
Prior
data
suggest
that
higher
nocturnal
heart
rate
may
represent
a
marker
of
cardiometabolic
disease
risk
in
nonpregnant
adults.
Data
on
and
pregnancy
outcomes
are
limited.
We
sought
to
assess
the
association
maternal
with
adverse
outcomes.
Methods
This
is
secondary
analysis
nulliparas
prospective
cohort
at
eight
US
sites
undergoing
home
sleep
study
using
Embletta‐Gold
device
bipolar
electrocardiogram
baseline
(6
0
–15
6
weeks)
follow‐up
(22
–31
visits.
Exposures
were
mean,
minimum,
maximum
(analyzed
separately).
Outcomes
interest
gestational
diabetes,
hypertensive
disorders
pregnancy,
preterm
birth,
small‐for‐gestational
age,
stillbirth.
Multivariable
logistic
regression
models
estimated
odds
each
outcome,
except
for
stillbirth
due
low
frequency,
per
5‐beat
rate,
adjusted
possible
confounders.
Results
Among
2952
eligible
nulliparas,
30%
experienced
an
outcome.
identified
diabetes
(minimum
mean
±
standard
deviation,
vs.
no
diabetes:
49
10
46
11;
ratio
[aOR]
1.15,
95%
confidence
interval
[CI]
1.03–1.29)
(48
11
aOR
1.05,
CI
1.01–1.10)
minimum
baseline;
also
rate.
At
follow‐up,
we
lower
age
(76
78
9;
0.83,
0.78–0.88)
12
51
13;
0.90,
0.86–0.94).
Conclusion
Higher
and/or
associated
diabetes.
reflect
sympathetic
decreased
parasympathetic
activity
affected
gravidas.
Conversely,
late
which
be
reflective
maladaptive
hemodynamic
changes
Scientific Reports,
Год журнала:
2025,
Номер
15(1)
Опубликована: Май 29, 2025
This
study
investigates
the
asymmetry
in
heart
rate
(HRA)
during
fetal
development
fetus
and
mother.
R-R
intervals
from
noninvasive
maternal
ECG
signals
102
pregnant
women
whose
gestational
age
ranges
20
to
40
weeks
were
analyzed.
Several
HRA
indices,
which
evaluate
accelerations
decelerations
RR
interval
time-series
data,
utilized
examine
variations
both
Results
showed
that
74.5%
of
mothers
when
measured
using
index
Deceleration
Input
(DID2A).
In
fetuses,
is
driven
by
acceleration-to-deceleration
transitions,
while
mothers,
influenced
deceleration-to-acceleration.
Also,
phase
rectified
signal
averaging
(PRSA)
reveals
acceleration
deceleration
capacities
(AC
DC)
show
significant
correlations
with
(GA),
indicating
PRSA
a
promising
tool
for
assessing
development.
also
Porta
Index
(PI)
associated
sympathetic
activity,
behavioral
state
influences
HRA.
work
provides
new
insights
into
asymmetry,
leading
deeper
understanding
health
pregnancy.
Sensors,
Год журнала:
2024,
Номер
24(5), С. 1596 - 1596
Опубликована: Фев. 29, 2024
We
recently
reported
enhanced
parasympathetic
activation
at
rest
throughout
pregnancy
associated
with
regular
yoga
practice.
The
present
study
presents
a
secondary
analysis
of
data
collected
within
prospective
cohort
33
pregnant
women
practicing
once
weekly
and
36
controls
not
involved
in
formal
exercise
programs.
objective
was
to
assess
the
impact
prenatal
on
autonomic
nervous
system
stress
response.
Healthy
singleton
pregnancies
were
recruited
first
trimester.
There
no
significant
difference
maternal
body
mass
index
(BMI)
between
group
(24.06
±
3.55
vs.
23.74
3.43
kg/m2,
p
=
0.693).
Women
older
(28.6
3.9
31.3
3.5
years,
0.005)
more
often
nulliparous
(26
(79%)
18
(50%),
0.001).
studied
heart
rate
variability
(HRV)
parameters
time
domain
(SDNN,
standard
deviation
R-R
intervals,
RMSSD,
square
root
mean
squared
differences
successive
intervals)
frequency
(ln(LF/HF),
natural
logarithm
low-frequency
high-frequency
power),
as
well
synchronization
indices
rate,
blood
pressure
respiration
during
immediately
following
acute
psychological
standardized
mental
challenge
test.
Measurements
performed
per
trimester
before
after
or
30
min
moderate-intensity
walk.
Statistical
comparison
using
three-way
analyses
variance
(p
<
0.05
significant).
Time
HRV
significantly
higher
compared
regardless
(F
7.22,
0.009
for
SDNN
F
9.57,
0.003
respectively).
observed
terms
ln(LF/HF)
indices.
Regular
practice
reduced
sympathetic
response
quicker
recovery
stress.
These
effects
persisted
Life,
Год журнала:
2024,
Номер
14(8), С. 1039 - 1039
Опубликована: Авг. 20, 2024
(1)
Background:
Pregnancy
induces
significant
physiological
adaptations
with
substantial
impacts
on
the
cardiovascular
system.
Hypertensive
disorders
of
pregnancy
(HDPs)
are
connected
to
risks
maternal
and
fetal
complications,
contributing
significantly
morbidity
mortality
across
globe.
This
study
focuses
evaluating
autonomic
dysfunction
by
analyzing
heart
rate
variability
(HRV)
assessing
cardiac
performance
through
global
longitudinal
strain
(GLS)
using
speckle
tracking
echocardiography,
as
well
examining
diastolic
function
in
pregnant
women
HDP
compared
healthy
controls.
(2)
Methods:
A
case–control
was
conducted
involving
diagnosed
gestational
hypertension
(GH),
preeclampsia
(PE),
or
severe
(SPE)
case
group,
control
group.
HRV
measured
evaluate
function,
GLS
assessed
evaluated
standard
echocardiographic
parameters.
Data
were
analyzed
compare
regulation
between
among
different
subgroups.
(3)
Results:
The
group
exhibited
reduced
parameters
controls,
indicating
notable
dysfunction.
Speckle
echocardiography
revealed
lower
HDP,
particularly
those
SPE,
Diastolic
also
present
(4)
Conclusions:
valuable
non-invasive
tools
for
detecting
impairments
hypertensive
disorders.
These
findings
suggest
that
dysfunctions
prevalent
HDP.
Scientific Reports,
Год журнала:
2024,
Номер
14(1)
Опубликована: Авг. 27, 2024
Preterm
birth
(PTB)
remains
a
global
health
concern,
impacting
neonatal
mortality
and
lifelong
consequences.
Traditional
methods
for
estimating
PTB
rely
on
electronic
records
or
biomedical
signals,
limited
to
short-term
assessments
in
clinical
settings.
Recent
studies
have
leveraged
wearable
technologies
in-home
maternal
monitoring,
offering
continuous
assessment
of
autonomic
nervous
system
(ANS)
activity
facilitating
the
exploration
risk.
In
this
paper,
we
conduct
longitudinal
study
assess
risk
by
examining
ANS
through
heart
rate
(HR)
variability
(HRV).
To
achieve
this,
collect
long-term
raw
photoplethysmogram
(PPG)
signals
from
58
pregnant
women
(including
seven
preterm
cases)
gestational
weeks
12–15
three
months
post-delivery
using
smartwatches
daily
life
We
employ
PPG
processing
pipeline
accurately
extract
HR
HRV,
an
autoencoder
machine
learning
model
with
SHAP
analysis
generate
explainable
abnormality
scores
indicative
Our
results
reveal
distinctive
patterns
during
second
pregnancy
trimester,
indicating
potential
early
estimation.
Moreover,
find
that
HR,
average
interbeat
intervals
(AVNN),
SD1SD2
ratio,
standard
deviation
(SDNN)
emerge
as
significant
indicators.
Research Square (Research Square),
Год журнала:
2024,
Номер
unknown
Опубликована: Март 14, 2024
Abstract
Preterm
birth
(PTB)
remains
a
global
health
concern,
impacting
neonatal
mortality
and
lifelong
consequences.
Traditional
methods
for
estimating
PTB
rely
on
electronic
records
or
biomedical
signals,
limited
to
short-term
assessments
in
clinical
settings.
Recent
studies
have
leveraged
wearable
technologies
in-home
maternal
monitoring,
offering
continuous
assessment
of
autonomic
nervous
system
(ANS)
activity
facilitating
the
exploration
risk.
In
this
paper,
we
conduct
longitudinal
study
assess
risk
by
examining
ANS
through
heart
rate
(HR)
variability
(HRV).
To
achieve
this,
collect
long-term
raw
photoplethysmogram
(PPG)
signals
from
58
pregnant
women
(including
seven
preterm
cases)
gestational
weeks
12-15
three
months
post-delivery
using
smartwatches
daily
life
We
employ
PPG
processing
pipeline
accurately
extract
HR
HRV,
an
autoencoder
machine
learning
model
with
SHAP
analysis
generate
explainable
abnormality
scores
indicative
Our
results
reveal
distinctive
patterns
during
second
pregnancy
trimester,
indicating
potential
early
estimation.
Moreover,
find
that
HR,
average
interbeat
intervals
(AVNN),
SD1SD2
ratio,
standard
deviation
(SDNN)
emerge
as
significant
indicators.
Objectives
The
purpose
of
this
study
was
to
determine
the
relationship
between
fetal
exposure
maternal
prenatal
stressors
and
infant
parasympathetic
(PNS)
sympathetic
(SNS)
nervous
function
at
3
timepoints
across
first
year
life.