Unsupervised Classification of Uterine Contractions Recorded Using Electrohysterography

Pregnancy still poses health risks that are not attended to by current clinical practice motorization procedures. Electrohysterography (EHG) record signals are analyzed in the course of this thesis as a contribution and effort to evaluate their suitability for pregnancy monitoring. The presented wor...

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Bibliographic Details
Main Author: Morais, João Manuel de Oliveira Valente (author)
Format: masterThesis
Language:eng
Published: 2019
Subjects:
Electrohysterogram (EHG)
Electromyogram (EMG)
Unsupervised Classification
Machine Learning
Signal Processing
Domínio/Área Científica::Engenharia e Tecnologia::Engenharia Eletrotécnica, Eletrónica e Informática
Online Access:http://hdl.handle.net/10362/84451
Country:Portugal
Oai:oai:run.unl.pt:10362/84451

Internet

http://hdl.handle.net/10362/84451

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