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Automatic detection of reverse‑triggering related asynchronies during mechanical ventilation in ARDS patients using flow and pressure signals
(2019) Rodríguez, Pablo Oscar; Tiribelli, Norberto; Gogniat, Emiliano; Plotnikow, Gustavo A.; Fredes, Sebastián; Fernández Ceballos, Ignacio; Pratto, Romina A.; Madorno, Matías; Ilutovich, Santiago; San Román, Eduardo; Bonelli, Ignacio; Guaymas, María; Raimondi, Alejandro C.; Maskin, Luis Patricio; Setten, Mariano
"Asynchrony due to reverse-triggering (RT) may appear in ARDS patients. The objective of this study is to validate an algo-rithm developed to detect these alterations in patient–ventilator interaction. We developed an algorithm that uses flow and airway pressure signals to classify breaths as normal, RT with or without breath stacking (BS) and patient initiated double-triggering (DT). The diagnostic performance of the algorithm was validated using two datasets of breaths, that are classified as stated above. The first dataset classification was based on visual inspection of esophageal pressure (Pes) signal from 699 breaths recorded from 11 ARDS patients. The other classification was obtained by vote of a group of 7 experts (2 physicians and 5 respiratory therapists, who were trained in ICU), who evaluated 1881 breaths gathered from recordings from 99 sub-jects. Experts used airway pressure and flow signals for breaths classification. The RT with or without BS represented 19% and 37% of breaths in Pes dataset while their frequency in the expert’s dataset were 3% and 12%, respectively. The DT was very infrequent in both datasets. Algorithm classification accuracy was 0.92 (95% CI 0.89–0.94, P < 0.001) and 0.96 (95% CI 0.95–0.97, P < 0.001), in comparison with Pes and experts’ opinion. Kappa statistics were 0.86 and 0.84, respectively. The algorithm precision, sensitivity and specificity for individual asynchronies were excellent. The algorithm yields an excellent accuracy for detecting clinically relevant asynchronies related to RT."
EvoSpex: An evolutionary algorithm for learning postconditions (artifact)
(2021) Molina, Facundo; Ponzio, Pablo; Aguirre, Nazareno; Frías, Marcelo
"Having the expected behavior of software specified in a formal language can greatly improve the automation of software verification activities, since these need to contrast the intended behavior with the actual software implementation. Unfortunately, software many times lacks such specifications, and thus providing tools and techniques that can assist developers in the construction of software specifications are relevant in software engineering. As an aid in this context, we present EvoSpex, a tool that given a Java method, automatically produces a specification of the method’s current behavior, in the form of postcondition assertions. EvoSpex is based on generating software runs from the implementation (valid runs), making modifications to the runs to build divergent behaviors (invalid runs), and executing a genetic algorithm that tries to evolve a specification to satisfy the valid runs, and leave out the invalid ones. Our tool supports a rich JML-like assertion language, that can capture complex specifications, including sophisticated object structural properties."
Patterns in temporal series of meteorological variables using SOM & TDIDT
(2006) Cogliati, Marisa; Britos, Paola Verónica; García Martínez, Ramón
"The purpose of the present article is to investigate if there exist any such set of temporal stable patterns in temporal series of meteorological variables studying series of air temperature, wind speed and direction an atmospheric pressure in a period with meteorological conditions involving nocturnal inversion of air temperature in Allen, Rio Negro, Argentina. Our conjecture is that there exist independent stable temporal activities, the mixture of which give rise to the weather variables; and these stable activities could be extracted by Self Organized Maps plus Top Down Induction Decision Trees analysis of the data arising from the weather patterns, viewing them as temporal signals."
Real time stable identification: A Nehari/SOS approach
(2007) García Galiñanes, Rafael; Sánchez-Peña, Ricardo; Mancilla-Aguilar, J. L.
"Here we present an adaptive identification algorithm based on Second Order section (SOS) model structures. The procedure guarantees stable transfer functions whenever the actual physical plant is stable, due to an optimal Nehari approximation step performed analytically. The procedure is suitable to be implemented in real time applications. Some examples illustrate the proposed algorithm."
Vision-based integrated navigation system and optimal allocation in formation flying
(2018-06) Giribet, Juan I.; Mas, Ignacio; Moreno, Patricio
"This article proposes an integrated navigation system for multiple micro aerial vehicles flying in formation. A data fusion algorithm uses measurements from an inertial measurement unit, a GPS receiver, and a camera allowing to use the positioning information of the surrounding vehicles to improve its estimation. A measure of the navigation performance of the formation is defined. Based on such measure, the position where each vehicle should be located in the formation is studied to guarantee the best overall navigation quality."
Work in progress: programming misunderstandings discovering process based on intelligent data mining tools
(2008) Britos, Paola Verónica; Jiménez Rey, Elizabeth; Rodríguez, Darío; García Martínez, Ramón
"We present research work in progress that focuses on data mining tools used for helping teachers to apply a three step knowledge discovering process to diagnose students’ misunderstandings (and their causes) related to their programming errors."

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