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

Article Multidisciplinary Sciences

Comprehensive HRV estimation pipeline in Python using Neurokit2: Application to sleep physiology

Martin G. Frasch

Summary: NeuroKit2 is a Python Toolbox for Neurophysiological Signal Processing that simplifies and automates the computation of various mathematical estimates of heart rate variability (HRV) or similar time series. It can handle different types of input data and provides 124 HRV measures, including the estimation of temporal fluctuations of the HRV estimates themselves. The methodology is demonstrated in a sleep dataset, showcasing its potential applications in studying the dynamic relationships between sleep state architecture and multi-dimensional HRV metrics.

METHODSX (2022)

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Article Multidisciplinary Sciences

Detection of maternal and fetal stress from the electrocardiogram with self-supervised representation learning

Pritam Sarkar et al.

Summary: Deep learning models accurately detect chronic stress exposure, emotional stress scores, and FSI values from maternal ECG data, enabling simple and cost-effective early stress detection during pregnancy using regular ECG biosensors.

SCIENTIFIC REPORTS (2021)

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Article Developmental Biology

Fetal heart rate during maternal sleep

Janet A. DiPietro et al.

Summary: The study found that there were both similarities and differences in heart rate patterns between pregnant women and their fetuses. Both fetal and maternal heart rates decreased during the night, with a steeper decline before 01:00. Fetal heart rate decreased when the mother fell asleep, but was not significantly associated with maternal sleep stages.

DEVELOPMENTAL PSYCHOBIOLOGY (2021)

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Review Behavioral Sciences