Web: http://arxiv.org/abs/2201.10105

Jan. 26, 2022, 2:11 a.m. | Ethan Grooby, Chiranjibi Sitaula, Kenneth Tan, Lindsay Zhou, Arrabella King, Ashwin Ramanathan, Atul Malhotra, Guy A. Dumont, Faezeh Marzbanrad

cs.LG updates on arXiv.org arxiv.org

Neonatal respiratory distress is a common condition that if left untreated,
can lead to short- and long-term complications. This paper investigates the
usage of digital stethoscope recorded chest sounds taken within 1min
post-delivery, to enable early detection and prediction of neonatal respiratory
distress. Fifty-one term newborns were included in this study, 9 of whom
developed respiratory distress. For each newborn, 1min anterior and posterior
recordings were taken. These recordings were pre-processed to remove noisy
segments and obtain high-quality heart and …

arxiv digital prediction

More from arxiv.org / cs.LG updates on arXiv.org

Machine Learning Product Manager (Europe, Remote)

@ FreshBooks | Germany

Field Operations and Data Engineer, ADAS

@ Lucid Motors | Newark, CA

Machine Learning Engineer - Senior

@ Novetta | Reston, VA

Analytics Engineer

@ ThirdLove | Remote

Senior Machine Learning Infrastructure Engineer - Safety

@ Discord | San Francisco, CA or Remote

Internship, Data Scientist

@ Everstream Analytics | United States (Remote)