000132476 001__ 132476
000132476 005__ 20240311111225.0
000132476 0247_ $$2doi$$a10.1016/j.bspc.2024.106174
000132476 0248_ $$2sideral$$a137635
000132476 037__ $$aART-2024-137635
000132476 041__ $$aeng
000132476 100__ $$aSavirón-Cornudella, Ricardo
000132476 245__ $$aDiagnosis of cardiotocographic sinusoidal patterns by spectral analyses
000132476 260__ $$c2024
000132476 5060_ $$aAccess copy available to the general public$$fUnrestricted
000132476 5203_ $$aBackground
The sinusoidal pattern in cardiotocographic (CTG) monitoring shows a sinus-shaped signal longer than 30 min without short-term variability. It is commonly linked to fetal morbidity, particularly severe fetal anemia. Pseudosinusoidal patterns resemble sinusoidal patterns but without adverse fetal outcomes. This study aims to characterise sinusoidal and pseudosinusoidal patterns using spectral analysis.
Methods
A multicenter study case-control was conducted between January 2012 and February 2023. Maternal characteristics, perinatal data, and CTG parameters through spectral analysis were examined. The spectrum of the electrocardiographic signal was calculated, and the proportion of energy (PE), short- and long-term variability, amplitude, and the differences between sinusoidal, pseudosinusoidal, and control groups were compared. A predictive model for signal type was built using a classification tree.
Results
60 CTG records were collected, including 38 controls. Of the 13 sinusoidal patterns detected, all exhibited a sinusoidal pattern with a PE ratio > 0.3, 9 of them (69 %) had a PE ratio > 0.5, and 4 (31 %) were in the range of 0.3–0.5. Among the 9 cases diagnosed as pseudosinusoidal, all had a sinusoidal pattern with a PE within the range of 0.3–0.5. Every control exhibited a PE < 0.3, except for one case. Short-term variability demonstrated limited discriminatory capability, while long-term variability showed a strong discriminatory capacity. For the classification tree, accuracy diagnosis was 92.3 %, 88.8 %, and 97.3 % for the sinusoidal, pseudosinusoidal, and control groups, respectively.
Conclusion
Computerised spectral analysis and the variable PE within the frequency range of 1.8–3.5 are reliable parameters to discriminate sinusoidal patterns.
000132476 536__ $$9info:eu-repo/grantAgreement/ES/DGA/T69-23R
000132476 540__ $$9info:eu-repo/semantics/openAccess$$aby-nc$$uhttp://creativecommons.org/licenses/by-nc/3.0/es/
000132476 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000132476 700__ $$0(orcid)0000-0002-9496-9714$$aLaliena Bielsa, Antonio
000132476 700__ $$0(orcid)0000-0001-7995-6969$$aEsteban-Escaño, Javier
000132476 700__ $$aCalvo Torres, Javier
000132476 700__ $$aChóliz Ezquerro, Marta
000132476 700__ $$aCastán Larraz, Berta
000132476 700__ $$aDíaz de Terán Martínez-Berganza, Elisa
000132476 700__ $$aRodríguez Castaño, María José
000132476 700__ $$aÁlvaro Navidad, Miguel
000132476 700__ $$aAndeyro García, Mercedes
000132476 700__ $$0(orcid)0000-0001-9372-4267$$aWhyte Orozco, Jaime$$uUniversidad de Zaragoza
000132476 700__ $$0(orcid)0000-0002-9048-121X$$aCastán Mateo, Sergio$$uUniversidad de Zaragoza
000132476 700__ $$0(orcid)0000-0002-3007-302X$$aEsteban, Luis Mariano
000132476 7102_ $$11003$$2027$$aUniversidad de Zaragoza$$bDpto. Anatom.Histolog.Humanas$$cArea Anatom.Embriol.Humana
000132476 7102_ $$11013$$2645$$aUniversidad de Zaragoza$$bDpto. Cirugía$$cÁrea Obstetricia y Ginecología
000132476 773__ $$g93 (2024), 106174 [10 pp.]$$pBiomed. signal proces. control$$tBiomedical Signal Processing and Control$$x1746-8094
000132476 8564_ $$s5221045$$uhttps://zaguan.unizar.es/record/132476/files/texto_completo.pdf$$yVersión publicada
000132476 8564_ $$s2540258$$uhttps://zaguan.unizar.es/record/132476/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000132476 909CO $$ooai:zaguan.unizar.es:132476$$particulos$$pdriver
000132476 951__ $$a2024-03-11-09:52:07
000132476 980__ $$aARTICLE