Browsing by Author "Munoz, C"

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    Alteraciones polisomnográficas en lactantes con reflujo gastroesofágico
    (2003) Harris, P; Brockmann, P; Munoz, C; Mobarec, S; Mesa, T; Sanchez, I
    Background: Infant apnea is a common problem that conveys significant burden to families and physicians. Its temporal relationship with gastroesophageal reflex (GER) is controversial. Aim: To establish whether infants with GER of different magnitude: have a higher incidence of respiratory events than children without GER. Patients and Methods: 146 consecutive patients were evaluated with polisomnography (PSG) and with an esophageal pH probe. Those infants without GER episodes or with an esophageal pH below 4.0 in less than 5% of total sleep tune were considered as physiologic GER (Group I), between 5-10% as mild GER (Group II), and over 10% as severe GER (Group III). These groups were evaluated for demographic and polysomnographic characteristics. Results: There: were no differences in the demographic and global PSG characteristics neither in oxymetry, heart rate or electroen-cephalographic abnormalities. Group III infants bad a higher percentage of active sleep compared to infants of Group I (p < 0.05) and higher incidence of central pauses and apneas compared to infants of Group I (p < 0.05). Conclusions: The presence of severe GER may modify the sleep pattern in infants, increasing the percentage of active sleep. The presence of central peruses and apneas in infants with severe GER suggest an association between the inmaturity of the respiratory centers and the adaptation of the anti-reflux mechanisms.
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    An integrated system for supervision and economic optimal control of mineral processing plants
    (PERGAMON-ELSEVIER SCIENCE LTD, 1999) Munoz, C; Cipriano, A
    This work tackles the problem of dynamically optimising the performance of a mineral concentration plant, taking into account economic profits and technical constraints. The paper proposes a two-level control strategy with regulatory control and the optimisation of an objective function. The regulatory control employs linear model based multivariable predictive controllers with constraints on controlled and manipulated variables, while the optimiser maximises the economic profits using non-linear dynamic models and linear constraints. The results, drawn from simulations, show the proposed strategy to lead to a significant improvement in economic profits when compared against an exclusively regulatory strategy. (C) 1999 Elsevier Science Ltd. All rights reserved.