• 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… 

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