• Corpus ID: 227239243

Deep Sequence Learning for Accurate Gestational Age Estimation from a $\$$25 Doppler Device

@article{Katebi2020DeepSL,
  title={Deep Sequence Learning for Accurate Gestational Age Estimation from a \$\\$\$25 Doppler Device},
  author={Nasim Katebi and Reza Sameni and Gari D. Clifford},
  journal={arXiv: Signal Processing},
  year={2020}
}
Assessing fetal development is usually carried out by techniques such as ultrasound imaging, which is generally unavailable in rural areas due to the high cost, maintenance, skills and training needed to operate the devices effectively. In this work, we propose a low-cost one-dimensional Doppler-based method for estimating gestational age (GA). Doppler time series were collected from 401 pregnancies between 5 and 9 months GA using a smartphone. The proposed model for GA estimation is based on… 

Figures from this paper

References

SHOWING 1-10 OF 19 REFERENCES

A Proxy for Detecting IUGR Based on Gestational Age Estimation in a Guatemalan Rural Population

TLDR
This work attempts to identify a proxy for IUGR, which is a significant contributor to perinatal death in LMICs, by determining gestational age (GA) from data derived from simple-to-use, low-cost one-dimensional Doppler ultrasound (1D-DUS) and blood pressure devices.

Estimating fetal gestational age using cardiac valve intervals

TLDR
A new automated method based on the intervals between fetal cardiac valve timings and the Q-wave of fetal electrocardiogram (fECG) provides a novel measure of the development of fetal autonomic nervous system that may be growth curve independent.

Assessment of Fetal Development Using Cardiac Valve Intervals

TLDR
Results of evaluation for 30 abnormal cases showed that the new method is less affected by arrhythmias such as tachycardia and bradycardia compared to FHRV, however certain types of heart anomalies cause large errors with respect to the CRL-based gold standard age, which could indicate the abnormalities.

Cardiotocography and beyond: a review of one-dimensional Doppler ultrasound application in fetal monitoring.

TLDR
The basics of fetal cardiac function, 1D-DUS signal generation and processing, its application in fetal monitoring and assessment of fetal development and wellbeing are reviewed and recommendations for future development of signal processing and modeling approaches are provided.

Improving the Quality of Point of Care Diagnostics with Real-Time Machine Learning in Low Literacy LMIC Settings

TLDR
This work presents an example of a system, which provides real time feedback on the source of noise and interference on a low cost Doppler device connected to a smart-phone used by traditional birth attendants (TBAs) in rural Guatemala to provide an audiovisual cue for the TBAs via the smartphone.

An mHealth monitoring system for traditional birth attendant-led antenatal risk assessment in rural Guatemala

TLDR
A smartphone-based system is proposed including peripheral sensors, such as a handheld Doppler for the identification of foetal compromise, designed for use by illiterate birth attendants in rural Guatemala, currently undergoing RCT evaluation.

Blood Pressure Variation Throughout Pregnancy According to Early Gestational BMI: A Brazilian Cohort

TLDR
Women with excessive early pregnancy BMI had higher SBP and DBP than their normal-weight counterparts throughout pregnancy, but not in the postpartum period, while women with excessive weight at early pregnancy showed higher mean SBP in all gestational trimesters, and higher mean DBP in the first and third trimeters.

Discordance between LMP-based and clinically estimated gestational age: implications for research, programs, and policy.

This study examines the comparability between the last menstrual period-based and clinically estimated gestational age as collected on certificates of live birth. It explores whether sociodemographic