Extraction of Heart Rate from Multimodal Video Streams of Neonates using Methods of Machine Learning

The World Health Organization estimates that more than one-tenth of births are premature. Premature births are linked to an increase of the mortality risk, when compared with full-term infants. In fact, preterm birth complications are the leading cause of perinatal mortality. These complications ran...

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Bibliographic Details
Main Author: Ferreira, Joana Carlos Mesquita (author)
Format: masterThesis
Language:eng
Published: 2020
Subjects:
photoplethysmographic imaging
heart rate monitoring
premature infant
deep learning
convolutional neural network
image semantic segmentation
Domínio/Área Científica::Engenharia e Tecnologia::Outras Engenharias e Tecnologias
Online Access:http://hdl.handle.net/10362/103155
Country:Portugal
Oai:oai:run.unl.pt:10362/103155

Internet

http://hdl.handle.net/10362/103155

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