Automatic Contraction Detection Using Uterine Electromyography
applied sciences Article Automatic Contraction Detection Using Uterine Electromyography Filipa Esgalhado 1,2, Arnaldo G. Batista 1,3,* , Helena Mouriño 4, Sara Russo 1, Catarina R. Palma dos Reis 5,6,Fátima Serrano 5,6, Valentina Vassilenko 1,2 and Manuel Duarte Ortigueira 1,3 1 NOVA School of Science and Technology, NOVA University Lisbon, 2829-516 Caparica, Portugal; feo.cardoso@campus.fct.unl.pt (F.E.); s.russo@campus.fct.unl.pt (S.R.); vv@fct.unl.pt (V.V.); mdo@fct.unl.pt (M.D.O.) 2 NMT, S.A., Parque Tecnológico de Cantanhede, Núcleo 04, Lote 3, 3060-197 Cantanhede, Portugal 3 Center of Technology and Systems—UNINOVA, NOVA School of Science and Technology—NOVA University Lisbon, 2829-516 Caparica, Portugal 4 Faculdade de Ciências, Universidade de Lisboa, Campo Grande, 1749-016 Lisboa, Portugal; nunesmaria@campus.ul.pt 5 Maternidade Alfredo da Costa, Rua Viriato 1, 1050-170 Lisboa, Portugal; palmareisc@gmail.com (C.R.P.d.R.); fatima_serrano@hotmail.com (F.S.) 6 Nova Medical School, Faculty of Medical Sciences, Universidade Nova de Lisboa, 1169-056 Lisboa, Portugal * Correspondence: agb@fct.unl.pt; Tel.: +351-21-2949637 Received: 14 September 2020; Accepted: 4 October 2020; Published: 9 October 2020 Abstract: Electrohysterography (EHG) is a promising technique for pregnancy monitoring and preterm risk evaluation. It allows for uterine contraction monitoring as early as the 20th gestational week, and it is a non-invasive technique based on recording the electric signal of the uterine muscle activity from electrodes located in the abdominal surface. In this work, EHG-based contraction detection methodologies are applied using signal envelope features.
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