{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T18:06:17Z","timestamp":1750183577217,"version":"3.28.0"},"reference-count":19,"publisher":"Walter de Gruyter GmbH","issue":"3","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2017,4,1]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:sec id=\"j_jpm-2016-0036_s_999_w2aab2b8c32b1b7b1aab1c14b1Aa\">\n                  <jats:title>Objective:<\/jats:title>\n                  <jats:p>The aim of this study was to explore whether linear and non-linear analysis of uterine contraction (UC) signals obtained with external tocodynamometry can predict operative vaginal delivery (OVD).<\/jats:p>\n               <\/jats:sec>\n               <jats:sec id=\"j_jpm-2016-0036_s_998_w2aab2b8c32b1b7b1aab1c14b2Aa\">\n                  <jats:title>Materials and methods:<\/jats:title>\n                  <jats:p>The last 2 h before delivery (H<jats:sub>1<\/jats:sub> and H<jats:sub>2<\/jats:sub>) of 55 UC recordings acquired with external tocodynamometry in the labour ward of a tertiary care hospital were analysed. Signal processing involved the quantification of UCs\/segment (UC<jats:sub>N<\/jats:sub>), and the linear and non-linear indices: Sample Entropy (SampEn) measuring signal irregularity; interval index (II) measuring signal variability, both of which may be associated with uterine muscle fatigue, and high frequency (HF), associated with maternal breathing movements. Thirty-two women had normal deliveries and 23 OVDs. Statistical inference was performed using 95% confidence intervals (95% CIs) for the median, and areas under the receiver operating curves (auROCs), with univariate and bivariate analyses.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec id=\"j_jpm-2016-0036_s_997_w2aab2b8c32b1b7b1aab1c14b3Aa\">\n                  <jats:title>Results:<\/jats:title>\n                  <jats:p>A significant association was found between maternal body mass index (BMI) and UC signal quality in H<jats:sub>1<\/jats:sub>, with moderate\/poor signal quality being more frequent with higher maternal BMI. There was an overall increase in contraction frequency (UC<jats:sub>N<\/jats:sub>), signal regularity (SampEn), signal variability (II), and maternal breathing (HF) from H<jats:sub>1<\/jats:sub> to H<jats:sub>2<\/jats:sub>. The OVD group exhibited significantly higher values of signal irregularity and variability (SampEn and II) in H<jats:sub>1<\/jats:sub>, and higher contraction frequency (UC<jats:sub>N<\/jats:sub>) and maternal breathing (HF) in H<jats:sub>2<\/jats:sub>. Modest auROCs were obtained with these indices in the discrimination between normal and OVDs.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec id=\"j_jpm-2016-0036_s_996_w2aab2b8c32b1b7b1aab1c14b4Aa\">\n                  <jats:title>Conclusions:<\/jats:title>\n                  <jats:p>The results of this exploratory study suggest that analysis of UC signals obtained with tocodynamometry, using linear and non-linear indices associated with muscle fatigue and maternal breathing, identifies significant changes occurring during labour, and differences between normal and OVDs, but their discriminative capacity between the two types of delivery is modest. Further refinement of this analysis is needed before it may be clinically useful.<\/jats:p>\n               <\/jats:sec>","DOI":"10.1515\/jpm-2016-0036","type":"journal-article","created":{"date-parts":[[2016,8,26]],"date-time":"2016-08-26T08:31:01Z","timestamp":1472200261000},"page":"327-332","source":"Crossref","is-referenced-by-count":5,"title":["Linear and non-linear analysis of uterine contraction signals obtained with tocodynamometry in prediction of operative vaginal delivery"],"prefix":"10.1515","volume":"45","author":[{"given":"Hern\u00e2ni","family":"Gon\u00e7alves","sequence":"first","affiliation":[{"name":"Center for Health Technology and Services Research (CINTESIS), Faculty of Medicine, University of Porto, Portugal"}]},{"given":"Mariana","family":"Morais","sequence":"additional","affiliation":[{"name":"Department of Obstetrics and Gynecology, Medical School, University of Porto, Portugal"}]},{"given":"Paula","family":"Pinto","sequence":"additional","affiliation":[{"name":"Center for Health Technology and Services Research (CINTESIS), Faculty of Medicine, University of Porto, Portugal"},{"name":"Department of Obstetrics and Gynecology, Medical School, University of Porto, Portugal ; Hospital Dr N\u00e9lio Mendon\u00e7a, EPE, Funchal"}]},{"given":"Diogo","family":"Ayres-de-Campos","sequence":"additional","affiliation":[{"name":"Department of Obstetrics and Gynecology, Medical School, University of Porto, Portugal"},{"name":"Department of Obstetrics and Gynecology, S\u00e3o Jo\u00e3o Hospital, Portugal"},{"name":"INEB \u2013 Institute of Biomedical Engineering and I3S \u2013 Institute for Research and Innovation in Health, University of Porto, Porto, Portugal"}]},{"given":"Jo\u00e3o","family":"Bernardes","sequence":"additional","affiliation":[{"name":"Center for Health Technology and Services Research (CINTESIS), Faculty of Medicine, University of Porto, Portugal"},{"name":"Department of Obstetrics and Gynecology, Medical School, University of Porto, Portugal"},{"name":"Department of Obstetrics and Gynecology, S\u00e3o Jo\u00e3o Hospital, Portugal ; Hospital Pedro Hispano, Unidade Local de Sa\u00fade de Matosinhos"}]}],"member":"374","published-online":{"date-parts":[[2016,8,26]]},"reference":[{"key":"2024112209331193314_j_jpm-2016-0036_ref_001_w2aab2b8c32b1b7b1ab2b2b1Aa","unstructured":"Alijahan R, Kordi M. 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