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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Detalhes bibliográficos
Autor principal: Morais, João Manuel de Oliveira Valente (author)
Formato: masterThesis
Idioma:eng
Publicado em: 2019
Assuntos:
Electrohysterogram (EHG)
Electromyogram (EMG)
Unsupervised Classification
Machine Learning
Signal Processing
Domínio/Área Científica::Engenharia e Tecnologia::Engenharia Eletrotécnica, Eletrónica e Informática
Texto completo:http://hdl.handle.net/10362/84451
País:Portugal
Oai:oai:run.unl.pt:10362/84451

Texto Completo

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

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