Mostrar el registro sencillo del ítem
dc.contributor.author | Nieto del-Amor, Félix | es_ES |
dc.contributor.author | Prats-Boluda, Gema | es_ES |
dc.contributor.author | Li, Wanting | es_ES |
dc.contributor.author | Martínez-de-Juan, José L. | es_ES |
dc.contributor.author | Yang, Lin | es_ES |
dc.contributor.author | Yang, Yongxiu | es_ES |
dc.contributor.author | Hao, Dongmei | es_ES |
dc.contributor.author | Ye Lin, Yiyao | es_ES |
dc.date.accessioned | 2024-06-06T18:16:17Z | |
dc.date.available | 2024-06-06T18:16:17Z | |
dc.date.issued | 2024-03 | es_ES |
dc.identifier.issn | 1746-8094 | es_ES |
dc.identifier.uri | http://hdl.handle.net/10251/204776 | |
dc.description.abstract | [EN] Electrohysterography has been shown to provide relevant information on preventing preterm labor. Recent studies have confirmed the feasibility of using the vectormyometriogram (VMG) to assess uterine myoelectric vector displacement, with different physiological implications for the slow and fast waves, without suggesting its implementation in clinical practice. The fast wave VMG component has dynamic behavior in any specific direction on the X-Y plane. Since recurrence is a common feature of dynamic systems, we aimed to determine the recurrence pattern of uterine vector displacement, exploring its clinical potential in detecting imminent and preterm labor in women with threatened preterm labor and a serious preterm birth risk. For this, we analyzed the recurrence patterns from a 2D-vectormyometriogram using four common statistics: determinism, longest diagonal, entropy, and laminarity. We found significantly increased determinism (0.035 ± 0.011 vs. 0.077 ± 0.041), entropy (1.768 ± 0.116 vs. 2.197 ± 0.24) and laminarity (0.086 ± 0.034 vs. 0.173 ± 0.078) from the early (26¿30 weeks) to late (35¿37 weeks) gestation stages. As pregnancy progresses, the uterine vector displacement becomes more periodic, predictable and stable, while VMG recurrence statistics in the fast wave high bandwidth better detect imminent and preterm labor, outperforming classical EHG parameters from bipolar channels. The proposed method was also resistant to motion artifacts and preserved its discriminative capacity between the groups. Our results on VMG recurrence statistics could thus be another reliable biomarker for preventing preterm labor in women with threatened preterm labor and would favor transferring the EHG technique to clinical practice. | es_ES |
dc.description.sponsorship | This work was supported by the Spanish Ministry of Science and Innovation and the European Regional Development Fund, State Plan for Scientific, Technical and Innovation Research 2021 - 2023 (PID2021-124038OB-I00) . This research was funded by the National Key R & D Program, grant number 2019YFC0119700, and the National Natural Science Foundation of China, grant number U20A20388. | es_ES |
dc.language | Inglés | es_ES |
dc.publisher | Elsevier | es_ES |
dc.relation.ispartof | Biomedical Signal Processing and Control | es_ES |
dc.rights | Reconocimiento - No comercial - Sin obra derivada (by-nc-nd) | es_ES |
dc.subject | Preterm labor | es_ES |
dc.subject | Vectormyometriogram | es_ES |
dc.subject | RQA | es_ES |
dc.subject | Recurrence plot | es_ES |
dc.subject | Electrohysterography | es_ES |
dc.subject.classification | TECNOLOGIA ELECTRONICA | es_ES |
dc.title | Recurrence quantification analysis of uterine vectormyometriogram to identify pregnant women with threatened preterm labor | es_ES |
dc.type | Artículo | es_ES |
dc.identifier.doi | 10.1016/j.bspc.2023.105795 | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/AEI//PID2021-124038OB-I00//INTELIGENCIA ARTIFICIAL PARA LA AYUDA AL DIAGNÓSTICO EN TIEMPO REAL DEL PARTO PREMATURO BASADO EN LA ACTIVIDAD MIOELÉCTRICA UTERINA. ÉNFASIS EN GESTACIONES MÚLTIPLES/ | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/NSFC//U20A20388/ | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/NKRDPC//2019YFC0119700/ | es_ES |
dc.rights.accessRights | Abierto | es_ES |
dc.contributor.affiliation | Universitat Politècnica de València. Escuela Técnica Superior de Ingeniería del Diseño - Escola Tècnica Superior d'Enginyeria del Disseny | es_ES |
dc.contributor.affiliation | Universitat Politècnica de València. Escuela Técnica Superior de Ingenieros Industriales - Escola Tècnica Superior d'Enginyers Industrials | es_ES |
dc.description.bibliographicCitation | Nieto Del-Amor, F.; Prats-Boluda, G.; Li, W.; Martínez-De-Juan, JL.; Yang, L.; Yang, Y.; Hao, D.... (2024). Recurrence quantification analysis of uterine vectormyometriogram to identify pregnant women with threatened preterm labor. Biomedical Signal Processing and Control. 89. https://doi.org/10.1016/j.bspc.2023.105795 | es_ES |
dc.description.accrualMethod | S | es_ES |
dc.relation.publisherversion | https://doi.org/10.1016/j.bspc.2023.105795 | es_ES |
dc.type.version | info:eu-repo/semantics/publishedVersion | es_ES |
dc.description.volume | 89 | es_ES |
dc.relation.pasarela | S\505938 | es_ES |
dc.contributor.funder | AGENCIA ESTATAL DE INVESTIGACION | es_ES |
dc.contributor.funder | European Regional Development Fund | es_ES |
dc.contributor.funder | Universitat Politècnica de València | es_ES |
dc.contributor.funder | National Natural Science Foundation of China | es_ES |
dc.contributor.funder | National Key Research and Development Program of China | es_ES |
dc.subject.ods | 03.- Garantizar una vida saludable y promover el bienestar para todos y todas en todas las edades | es_ES |
dc.subject.ods | 05.- Alcanzar la igualdad entre los géneros y empoderar a todas las mujeres y niñas | es_ES |
dc.subject.ods | 10.- Reducir las desigualdades entre países y dentro de ellos | es_ES |