Neonatal EEG Interpretation and Decision Support Framework for Mobile Platforms

@article{OSullivan2018NeonatalEI,
  title={Neonatal EEG Interpretation and Decision Support Framework for Mobile Platforms},
  author={Mark O'Sullivan and Sergi Gomez and Alison O'Shea and Eduard Salgado and Kevin Huillca and Sean Mathieson and Geraldine B. Boylan and Emanuel M. Popovici and Andriy Temko},
  journal={2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)},
  year={2018},
  pages={4881-4884}
}
  • Mark O'Sullivan, Sergi Gomez, +6 authors Andriy Temko
  • Published in
    40th Annual International…
    2018
  • Biology, Computer Science, Mathematics, Medicine
  • This paper proposes and implements an intuitive and pervasive solution for neonatal EEG monitoring assisted by sonification and deep learning AI that provides information about neonatal brain health to all neonatal healthcare professionals, particularly those without EEG interpretation expertise. The system aims to increase the demographic of clinicians capable of diagnosing abnormalities in neonatal EEG. The proposed system uses a low-cost and low-power EEG acquisition system. An Android app… CONTINUE READING

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    On sound-based interpretation of neonatal EEG

    System Level Framework for Assessing the Accuracy of Neonatal EEG Acquisition

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