Fetal heart rate during maternal sleep

DiPietro, Janet A.; Raghunathan, Radhika S.; Wu, Hau‐Tieng; Bai, Jiawei; Watson, Heather; Sgambati, Francis P.; Henderson, Janice; Pien, Grace W.

doi:10.1002/dev.22118

Cited by 11 publications

(14 citation statements)

References 60 publications

(103 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Despite the issues with signal detection noted here, fECG technology allows prolonged fetal monitoring in settings that would not be possible with fCTG. These include during polysomnography or maternal nocturnal sleep, as part of this report and those by others (DiPietro, Raghunathan, et al., 2021; Lucchini et al., 2020; Stone et al., 2017), physical activity, such as yoga (Gavin et al., 2020), and as women engage in daily activities (Kapaya et al., 2016; Sletten et al., 2018). As such, there can be an appropriate trade‐off between participant loss due to inability to detect a fECG signal and the ability to address certain research questions that require prolonged or more naturalistic settings…”

Section: Discussionmentioning

confidence: 79%

“…The Monica AN24 was also used to collect fECG data during this overnight recording, M recording time = 8.1 h. The unprocessed data file was extracted and time synchronized with the polysomnography data, which in turn were scored for maternal sleep states using standard methods (see DiPietro, Raghunathan, et al., 2021). fECG data (i.e., interbeat intervals averaged in 2 s epoch) were quantified in terms of fetal heart rate (bpm) and variability (standard deviation of epoched values) during each of the following stages: light sleep (N2), slow‐wave sleep (N3), REM sleep, and waking prior to sleep onset; mean values were computed for each stage.…”

Section: Methodsmentioning

confidence: 99%

“…Several commercially available devices have also entered the research landscape; of these, the Monica AN24 (Monica Healthcare, Nottingham, UK) has been most widely adopted (Tamber et al., 2020). Its use in studies of fetal neurodevelopment includes both prolonged recordings during maternal sleep and/or ambulation during the day (DiPietro, Raghunathan, et al., 2021; Gavin et al., 2020; Huhn et al., 2017; Kapaya et al., 2016; Pitts et al., 2021; Sletten et al., 2016; Stone et al., 2017) and during shorter periods in which women remain fairly stationary (Hofmeyr et al., 2014; Kisilevsky & Brown, 2016; Sänger et al., 2012; Zavala et al., 2020).…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Measuring fetal heart rate and variability: Fetal cardiotocography versus electrocardiography

DiPietro

Watson

Raghunathan

2022

Developmental Psychobiology

Self Cite

View full text Add to dashboard Cite

Fetal heart rate variability is a key indicator of fetal neurodevelopment and well‐being. Most studies have relied on Doppler‐based fetal cardiotocography (fCTG) but recent technologies have made fetal electrocardiography (fECG) more widely available. We compared simultaneous recordings of fCTG and fECG in 131 fetuses twice during gestation (28 and 36 weeks) using a commercially available device (Monica AN24). Within‐individual correlations for fetal heart rate values, based on averaged data during 50‐min recordings, neared 1.0. Continuous and episodic measures of variability were also correlated, particularly at 36 weeks. Data collected during maternal polysomnography at 36 weeks were used to evaluate reliability of variability measures collected during the 50‐min recording. Both fCTG‐ and fECG‐derived measures of variability exhibited correspondence with variability during maternal presleep wakefulness and most sleep states. Results did not appreciably differ by data source or method used to calculate variability. fECG monitoring presented challenges, particularly at 28 weeks, when recordings with signal loss of ≤30% were available from only 27% of participants. Success rates improved to 84% at 36 weeks. fCTG was successful in over 90% of participants at each gestational age. Considerations in the selection of fECG versus fCTG in developmental research are discussed.

show abstract

Section: Discussionmentioning

confidence: 79%

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Measuring fetal heart rate and variability: Fetal cardiotocography versus electrocardiography

DiPietro

Watson

Raghunathan

2022

Developmental Psychobiology

Self Cite

View full text Add to dashboard Cite

show abstract

“…Eight hours was established for two reasons. First, it was deemed an appropriate length of time to reliably collect maternal abdominal ECG that can yield maternal and fetal ECG while accounting for maternal and fetal sleep states [ 8 , 9 ]. Second, eight hours would fit into the standard sleep schedule and avoid interruptions in data collection.…”

Section: Methodsmentioning

confidence: 99%

Wearable technology for health monitoring during pregnancy: an observational cross-sectional survey study

Wakefield

Yao

Self

et al. 2022

Arch Gynecol Obstet

View full text Add to dashboard Cite

Purpose To evaluate how women of child-bearing age perceive the use of remote fetal ECG monitoring technologies. Telemedicine has advanced to the forefront of healthcare delivery, including maternal–fetal medicine. Smart wearable electrocardiogram (ECG) devices can enable pregnant women to monitor their health and that of their fetuses. Such technology would be a logical extension of the telemedicine ecosystem. Methods We conducted an observational cross-sectional study via online surveying in the United States. Study participants were recruited using the SurveyMonkey Audience Polling system and responded virtually. In all, the sample consisted of 507 women, aged 18–45 from 45 states, who are expecting to become pregnant in the next five years. Women were asked to identify their willingness to use a wearable ECG device the size of a patch-sized large band-aid on their abdomen. Ten binary or multiple-choice questions were used to gauge population interest and related demographics toward the usage of a wearable ECG device. Results Of the 507 participants, 461 (91%) women expressed an acceptance of wearable ECG technology throughout the pregnancy as a mechanism for increased frequency of monitoring of maternal and fetal health outside the hospital. 395 (78%) women demonstrated a willingness to wear devices day and night or at least during sleep and 213 (42%) of the women would spend up to $200 on such a device. Conclusion Even though conducted prior to the COVID-19 pandemic, this study clearly indicates a high degree of readiness of prospective pregnant women for telemedicine with continuous health monitoring of the mother-fetus dyad.

show abstract

“…Furthermore, it is well accepted that fetal behaviors contribute to the intrauterine milieu which, in turn, contributes to ontogeny (Hepper, 2015;Prechtl, 1984;Smotherman & Robinson, 1987). Evidence of the bidirectional nature of the maternal-fetal relationship through an assortment of fetal signaling processes is steadily gaining traction (DiPietro et al, 2006(DiPietro et al, , 2013(DiPietro et al, , 2021Glynn et al, 2018;Sandman, 2018).…”

mentioning

confidence: 99%

It takes two: An antenatal to postnatal RDoC framework for investigating the origins of maternal attachment and mother–infant social communication

et al. 2021

Self Cite

View full text Add to dashboard Cite

Transformation of the maternal–fetal relationship into the mother–infant relationship remains an enigmatic process. This progression is considered using a Research Domain Criteria (RDoC) informed approach centered on domains of Arousal/Regulation, Positive/Negative Valence, and Social Processes. One hundred and fifty-eight maternal–fetal dyads began participation during pregnancy, maternal–infant dyads were followed at 6 months postpartum. Women exhibited stability in feelings of attachment to the fetus and infant, and in positive/negative appraisal of pregnancy and motherhood. Elicited maternal physiological arousal to emotionally evocative videos generated fetal heart rate variability and motor activity responses. Parasympathetic (i.e., heart rate variability) suppression in the fetus was associated with more positive and regulated infant social communication in the Face-to-Face Still Face protocol; suppression of maternal respiratory sinus arrhythmia was related to infant affect but in the opposite direction. Maternal ratings of infant temperament aligned with maternal antenatal affective valence. Attachment trajectories characterized by stability from antenatal to postnatal periods were most associated with maternal affective appraisal of pregnancy; shifts were influenced by infant characteristics and maternal sympathetic responsivity. Results illustrate how variation in arousal and regulatory systems of the pregnant woman and fetus operate within the context of maternal positive and negative valence systems to separately and jointly shape affiliation and temperament in early infancy.

show abstract

Fetal heart rate during maternal sleep

Cited by 11 publications

References 60 publications

Measuring fetal heart rate and variability: Fetal cardiotocography versus electrocardiography

Measuring fetal heart rate and variability: Fetal cardiotocography versus electrocardiography

Wearable technology for health monitoring during pregnancy: an observational cross-sectional survey study

It takes two: An antenatal to postnatal RDoC framework for investigating the origins of maternal attachment and mother–infant social communication

Contact Info

Product

Resources

About