Titlebook: VIII Latin American Conference on Biomedical Engineering and XLII National Conference on Biomedical ; Proceedings of CLAIB César A. Gonzále

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Laura E. Méndez-Magdaleno,Guadalupe Dorantes-Méndez,Sonia Charleston-Villalobos,Tomás Aljama-Corralen, not only because of its surprising structural aspects, but also due to the large number of applications which can be formulated as general semi-infinite programs. The aim of this book is to highlight structural aspects of general semi-infinite programming, to formulate optimality conditions which

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Analysis of the Maternal Cardio-Electrohysterographic Coupling During Labor by Bivariate Phase-Recti TT vs. AL for cross-correlation of BPRSA signals (0.93 vs. 0.97, p < 0.01), respectively. These results suggest that during active labor, a higher MCEC is observed in comparison to the third trimester of pregnancy. The presence of increased MCEC could be involved in the physiological manifestation

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Prediction of Breast Cancer Diagnosis by Blood Biomarkers Using Artificial Neural Networksn index = 0.92. With nine predictors the next values were obtained, AUC = 0.96, sensitivity = 0.95, specificity = 0.97 and Youden index = 0.92. Different strategies are suggested to improve the results, exploring more hidden layers and a different validation method.

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Estimation of Heart Rate and Respiratory Rate via Blind Estimation from Smartphone-Based Contact Imadance Extraction (EBEAE) algorithm. Simultaneous ECG recordings were used to compute reference HR and RR time series. We found that iPPG-based estimates are highly correlated by those from ECG-derived ones (HR: ., RR: . with low normalized root-mean-square errors (HR: . 0.0855, RR: . for both HR and

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