The effects of oxytocin and atosiban on the modulation of heart rate in pregnant women

2016 ◽  
Vol 30 (3) ◽  
pp. 329-333 ◽  
Author(s):  
Amir Weissman ◽  
Rana Swed Tobia ◽  
Yechiel Z. Burke ◽  
Olga Maxymovski ◽  
Arie Drugan
Keyword(s):  
Heart Rate ◽  
Pregnant Women

scholarly journals Wireless Fetal Heart Rate Monitoring in Inpatient Full-Term Pregnant Women: Testing Functionality and Acceptability

PLoS ONE ◽  
2015 ◽  
Vol 10 (1) ◽  
pp. e0117043 ◽  
Author(s):  
Adeline A. Boatin ◽  
Blair Wylie ◽  
Ilona Goldfarb ◽  
Robin Azevedo ◽  
Elena Pittel ◽  
...  
Keyword(s):  
Heart Rate ◽  
Pregnant Women ◽  
Fetal Heart Rate ◽  
Fetal Heart ◽  
Full Term ◽  
Heart Rate Monitoring ◽  
Fetal Heart Rate Monitoring

Trends in Heart Rate and Heart Rate Variability during Pregnancy and Three Months Postpartum: Continuous Monitoring in a Free-Living Context (Preprint)

2021 ◽  
Author(s):  
Fatemeh Sarhaddi ◽  
Iman Azimi ◽  
Anna Axelin ◽  
Hannakaisa Niela-Vilen ◽  
Pasi Liljeberg ◽  
...  
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Pregnant Women ◽  
Time Domain ◽  
Second Trimester ◽  
Third Trimester ◽  
Non Invasive ◽  
The Third ◽  
Invasive Method ◽  
Frequency Power

BACKGROUND Heart rate variability (HRV) is a non-invasive method reflecting autonomic nervous system (ANS) regulations. Altered HRV is associated with adverse mental or physical health complications. ANS also has a central role in physiological adaption during pregnancy causing normal changes in HRV. OBJECTIVE Assessing trends in heart rate (HR) and HRV parameters as a non-invasive method for remote maternal health monitoring during pregnancy and three months postpartum. METHODS Fifty-eight pregnant women were monitored using an Internet-of-Things (IoT)-based remote monitoring system during pregnancy and 3-months postpartum. Pregnant women were asked to continuously wear Gear sport smartwatch to monitor their HR and HRV. In addition, a cross-platform mobile application was utilized for collecting pregnancy-related information. The trends of HR and HRV parameters were extracted using reliable data. We also analyzed the trends of normalized HRV parameters based on HR to remove the effect of HR changes on HRV trends. Finally, we exploited hierarchical linear mixed models to analyze the trends of HR, HRV, and normalized HRV parameters. RESULTS HR increased significantly during the second trimester (P<.001) and decreased significantly during the third trimester (P<.01). Time-domain HRV parameters, average normal interbeat intervals (AVNN), standard deviation of normal interbeat intervals (SDNN), root mean square of the successive difference of normal interbeat intervals (RMSSD), normalized SDNN (nSDNN), and normalized RMSSD (nRMSSD) decreased significantly during the second trimester (P<.001) then increased significantly during the third trimester (P<.01). Some of the frequency domain parameters, low-frequency power (LF), high-frequency power (HF), and normalized HF (nHF) decreased significantly during the second trimester (P<.01), and HF increased significantly during the third trimester (P<.01). In the postpartum period, nRMSSD decreased (P<.05), and the LF to HF ratio (LF/HF) increased significantly (P<.01). CONCLUSIONS Our study showed that HR increased and HRV parameters decreased as the pregnancy proceeded, and the values returned to normal after the delivery. Moreover, our results show that HR started to decrease while time-domain HRV parameters and HF started to increase during the third trimester. Our results also demonstrate the possibility of continuous HRV monitoring in everyday life settings.

scholarly journals Heart Rate Variability and Cardiovascular Reflex Tests for Assessment of Autonomic Functions in Preeclampsia

2018 ◽  
Vol 2018 ◽  
pp. 1-7 ◽  
Author(s):  
Meenakshi Chaswal ◽  
Raj Kapoor ◽  
Achla Batra ◽  
Savita Verma ◽  
Bhupendra S. Yadav
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Pregnant Women ◽  
Frequency Domain ◽  
Low Frequency ◽  
Normal Pregnancy ◽  
Total Power ◽  
Autonomic Functions ◽  
Cardiovascular Reflex ◽  
Cardiovascular Reflex Tests

Alterations in the autonomic cardiovascular control have been implicated to play an important etiologic role in preeclampsia. The present study was designed to evaluate autonomic functions in preeclamptic pregnant women and compare the values with normotensive pregnant and healthy nonpregnant controls. Assessment of autonomic functions was done by cardiovascular reflex tests and by analysis of heart rate variability (HRV). Cardiovascular reflex tests included deep breathing test (DBT) and lying to standing test (LST). HRV was analyzed in both time and frequency domain for quantifying the tone of autonomic nervous system to the heart. The time domain measures included standard deviation of normal R-R intervals (SDNN) and square root of mean squared differences of successive R-R intervals (RMSSD). In the frequency domain we measured total power (TP), high frequency (HF) power, low frequency (LF) power, and LF/HF ratio. Cardiovascular reflex tests showed a significant parasympathetic deficit in preeclamptic women. Among parameters of HRV, preeclamptic group had lower values of SDNN, RMSSD, TP, HF, and LF (ms2) and higher value of LF in normalised units along with high LF/HF ratio compared to normotensive pregnant and nonpregnant controls. Furthermore, normotensive pregnant women had lower values of SDNN, TP, and LF component in both absolute power and normalised units compared to nonpregnant females. The results confirm that normal pregnancy is associated with autonomic disturbances which get exaggerated in the state of preeclampsia.

scholarly journals HEART RATE VARIABILITY IN PREGNANT WOMEN WITH VENTRICULAR EXTRASYSTOLES

2016 ◽  
Vol 26 (1) ◽  
pp. 122-133
Author(s):  
YeYe Chekashkina ◽  
◽  
MG Nazarkina ◽  
NYu. Leshchankina ◽  
VV Stolyarova ◽  
...  
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Pregnant Women ◽  
Ventricular Extrasystoles

Feasibility of a mobile cardiotocogram device for fetal heart rate self‐monitoring in low‐risk singleton pregnant women

2021 ◽  
Author(s):  
Shunsuke Tamaru ◽  
Seung Chik Jwa ◽  
Yoshihisa Ono ◽  
Hiroyuki Seki ◽  
Haruka Matsui ◽  
...  
Keyword(s):  
Heart Rate ◽  
Pregnant Women ◽  
Fetal Heart Rate ◽  
Fetal Heart ◽  
Low Risk ◽  
Self Monitoring

Determination of minimal recording period to assess resting heart rate variability during pregnancy

2020 ◽  
Vol 45 (4) ◽  
pp. 431-436
Author(s):  
Danilo Fernandes da Silva ◽  
Shuhiba Mohammad ◽  
Kelly Ann Hutchinson ◽  
Kristi Bree Adamo
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Exercise Training ◽  
Pregnant Women ◽  
Resting Heart Rate ◽  
Time Segment ◽  
Natural Logarithm ◽  
Resting Heart Rate Variability ◽  
Measurement Period

Traditionally, resting heart rate variability (rHRV) is measured for 10 min using the last 5 min for analyses (e.g., criterion period). It is unknown whether the measurement period can be shortened in pregnant women as there are currently no established standards. We aimed to compare shorter time segments (e.g., from the 1st to 10th minutes) of the parasympathetic index natural logarithm transformation of root mean square of successive R–R differences (Ln rMSSD) with the criterion period in pregnant and nonpregnant women. Twelve pregnant (age: 30.8 ± 3.4 years; gestational age: 20.1 ± 5.0 weeks) and 15 nonpregnant women (age: 29.8 ± 4.0 years) were included. rHRV was measured using a portable heart rate monitor for 10 min while sitting. Ln rMSSD difference/agreement between shorter time segments and criterion period was analyzed. The result observed between the 4th–5th minutes was the shortest time segment not different from/highly agreed with the criterion period in pregnant women (difference [95% confidence interval (CI)]: −0.10 [−0.22 to 0.02]/bias ± 1.96 × SD: −0.06 [−0.38 to 0.25]). In nonpregnant women, the 2nd–3rd-minute segment was the shortest with similar results (difference [95% CI]: −0.04 [−0.15 to 0.07]/bias ± 1.96 × SD: −0.03 [−0.39 to 0.32]). The Ln rMSSD was found to be stable from the 5th–10th minutes and the 3rd–10th minutes in pregnant and nonpregnant women, respectively. A shortened rHRV assessment can increase its applicability in clinical/exercise-training settings. Novelty Ln rMSSD can be measured for 5 min in pregnant women, with the last 1-min segment analyzed. The last 1-min segment from 3 min can be used for rHRV measurement in nonpregnant women. The shortened rHRV assessment can facilitate its applicability in clinical/exercise-training settings.

scholarly journals Electrocardiographic Changes during Normal Pregnancy

2017 ◽  
Vol 02 (03) ◽  
pp. 035-038
Author(s):  
Beeram Sumalatha ◽  
Maddury Jyotsna ◽  
Garre Indrani
Keyword(s):  
Blood Pressure ◽  
Heart Rate ◽  
Systolic Blood Pressure ◽  
Pregnant Women ◽  
Qtc Interval ◽  
Normal Range ◽  
Cardiovascular Changes ◽  
Pr Interval ◽  
Qrs Duration ◽  
The Mean

Background Pregnancy is a physiologic condition which is unique in that it alters the physiology of each organ in the body. Cardiovascular changes during pregnancy are significant and start at 6 to 8 weeks of gestation. Physiologic cardiovascular changes during pregnancy suggest the chance of altered electrocardiographic (ECG) parameters during pregnancy. Study of variations in ECG in normal pregnant women serves as a basis to detect pathologic changes in pregnant women. Material and Methods This is a cross-sectional data of case series of pregnant women across all stages of gestation who attended antenatal clinic of our teaching hospital, on Women's Day (March 8, 2017). A 12-lead ECG was recorded in all the participants in supine position. The parameters noted from the ECG include heart rate, PR interval, QRS duration, QRS axis, corrected QT (QTc) interval, and ST-T changes. Results Total 151 pregnant women were studied. The average age was 23.38 ± 3.49 years. With respect to gestational age, 12 (7.94%), 48 (31.78%), and 91 (60.26%) women were in the first, second, and third trimesters of pregnancy, respectively. With respect to parity, 60 (39.7%) were primigravidae and 91 (60.26%) were multigravidae. The mean ECG heart rate was increased (100.15 ± 12.48 beats/min). The mean systolic blood pressure (109.67 ± 9.34 mm Hg) and the mean diastolic blood pressure (71.32 ± 6.89 mm Hg) were decreased. The mean of ECG intervals and durations (PR, QRS, QTc) were in normal range (0.14 ± 0.01, 0.08 ± 0.008, and 407.83 ± 11.98, respectively). There was no abnormal P-wave dispersion. Even though the QTc was in normal range in 63.56% of pregnant women, this parameter was in upper quadrant of the normal range. General linear regression demonstrated that systolic blood pressure and palpitations were the only variables to independently predict QTc in upper quadrant of normal range (p = 0.05, 0.03, respectively). Conclusion The cardiovascular hemodynamic adaptation to pregnancy is a well-established fact that is also seen in our study. There is shortening of PR interval and QRS duration. Even though QTc is with in normal range, in more than half (63.56%) of pregnant women, it is in the upper quadrant of the normal range.

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