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Closing Keynote

TalkinFrenchat DevFest du bout du monde 2019 · on Friday, 2019-02-22· [machine-learning]
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Presents evidence that an alternating pattern of “léthargie paroxystique” and “agitation paroxystique” in fetal heart-rate/behavior signals can indicate fetal hypoxia earlier than classic low variability. Uses entropy measures and very-short-term variability analysis plus an automated classifier (developed with a mathematician) to label behavioral states and flag suspicious epochs; a prototype algorithm exists, while real-time clinical alarms and broad validation are still pending.

AI-written summary · about

  1. 0:00Closing keynote
  2. 0:45Keynote speaker
  3. 1:50Medicine to computing
  4. 3:36Prenatal monitoring
  5. 7:11Fetal oxygen deficiency
  6. 10:03Paroxysmal rhythms
  7. 12:31Medicine meets computing
  8. 14:39Math collaboration
  9. 15:43Results and outlook
  10. 16:36Q&A
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