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Qiao Li, Emory University
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Detection of Adverse Events in Pregnancy Using a Low-Cost 1D Doppler Ultrasound Signal
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A framework for gestational development tracking using 1D-Doppler ultrasound signals in rural Guatemala
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Year
Spring 2020
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Summer 2021
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School
Laney Graduate School
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Department
Computer Science and Informatics
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Ph.D.
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Dissertation
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Computer Science
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Artificial Intelligence
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Health Sciences, Obstetrics and Gynecology
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Committee
Qiao Li, Emory University
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Ali Bahrami Rad, Emory University
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Babak Mahmoudi, Emory University
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Faezeh Marzbanrad, Monash University
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Gari D. Clifford, Emory University
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Fetal monitoring
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Signal processing
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Deep learning
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Doppler ultrasound signal
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Fetal heart rate (FHR)
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