Now showing items 1-13 of 13

    • Artificial Pancreas: first clinical trials in Argentina 

      Sánchez-Peña, Ricardo; Colmegna, Patricio; Grosembacher, Luis; Breton, Marc; De Battista, Hernán; Garelli, Fabricio; Belloso, Waldo H.; Campos-Náñez, Enrique; Simonovich, Ventura; Beruto, Valeria; Scibona, Paula; Cherñavsky, Daniel (2017-07)
      "The first clinical trials using an Artificial Pancreas (AP) in Latin America have been defined in 2 stages. The first stage was carried out in November 2016 with the UVA controller (developed by the Center for Diabetes ...
    • Automatic detection of reverse‑triggering related asynchronies during mechanical ventilation in ARDS patients using fow and pressure signals 

      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 P.; Setten, Mariano (2019)
      "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 ...
    • Autonomic modulation during a cognitive task using a wearable device 

      Bonomini, Maria Paula; Val-Calvo, Mikel; Díaz-Morcillo, Alejandro; Ferrández Vicente, José Manuel; Fernández-Jover, Eduardo (2019)
      "Heart-brain interaction is by nature bidirectional, and then, it is sensible to expect the heart, via the autonomic nervous system (ANS), to induce changes in the brain. Respiration can originate differentiated ANS states ...
    • Closed-loop in neuroscience: can a brain be controlled? 

      García Violini, Demián; Bertone, Nicolás I.; Martínez, Sebastián; Chiesa Docampo, Franco; de la Fuente, Verónica; Belluscio, Mariano; Piriz, Joaquín; Sánchez-Peña, Ricardo (2018)
      "An experimental setup capable of stimulating, inhibiting, sensing, processing and analyzing a iological system is presented. The experimental setup is based on open-source, open hardware commercial devices. It can be ...
    • Comparative study of robust methods for motor imagery classification based on CSP and LDA 

      Villar, Ana Julia (2017-10)
      " Common spatial patterns analysis and linear discriminant analysis are popular algorithms for spatial filtering and classifying in motor imagery. These algorithms are very sensitive to noise and artifacts which affect the ...
    • Epilepsy seizure onset detection applying 1-NN classifier based on statistical parameters 

      Zorgno, Ivanna; Blanc, María Cecilia; Oxenford, Simón; Gil Garbagnoli, Francisco; D'Giano, Carlos; Quintero-Rincón, Antonio (2018)
      "Epilepsy is a disease caused by an excessive discharge of a group of neurons in the cerebral cortex. Extracting this information using EEG signals is an ongoing challenge in biomedical signal processing. In this paper, ...
    • Impact of participatory design for drug-drug interaction alerts: a comparison study between two interfaces 

      Luna, Daniel; Otero, Carlos; Risk, Marcelo; Stanziola, Enrique; González Bernaldo de Quirós, Fernán (2017)
      "Decision support systems for alert drug-drug interactions have been shown as valid strategy to reduce medical error. Even so the use of these systems has not been as expected, probably due to the lack of a suitable design. ...
    • Is needle biopsy clinically useful in preoperative grading of central chondrosarcoma of the pelvis and long bones? 

      Roitman, Pablo D.; Farfalli, Germán L.; Ayerza, Miguel A.; Múscolo, D. Luis; Milano, Federico E.; Aponte-Tinao, Luis A. (2017)
      "Central chondrosarcoma of bone is graded on a scale of 1 to 3 according to histological criteria. Clinically, these tumors can be divided into low-grade (Grade 1) and high-grade (Grade 2, Grade 3, and dedifferentiated) ...
    • Study on spike-and-wave detection in epileptic signals using T-location-scale distribution and the K-nearest neighbors classifier 

      Quintero-Rincón, Antonio; Prendes, Jorge; D'Giano, Carlos; Muro, Valeria (2017-12)
      "Pattern classification in electroencephalography (EEG) signals is an important problem in biomedical engineering since it enables the detection of brain activity, in particular the early detection of epileptic seizures. ...
    • Unannounced meal analysis of the ARG algorithm 

      Fushimi, Emilia; Colmegna, Patricio; De Battista, Hernán; Garelli, Fabricio; Sánchez-Peña, Ricardo (2019-07)
      "One of the main challenges in automatic glycemic regulation in patients with type 1 diabetes (T1D) is to dispense with carbohydrate counting. In this context, we propose to equip a previously introduced switched Linear ...
    • User-centered design improves the usability of drug-drug interaction alerts: a validation study in the real scenario 

      Luna, Daniel; Rizzato Lede, Daniel; Rubin, Luciana; Otero, Carlos; Ortiz, Juan M.; García, Mónica G.; Rapisarda, Romina P.; Risk, Marcelo; González Bernaldo de Quirós, Fernán (2017-08)
      "Decision support systems can alert physicians to the existence of drug interactions. The Hospital Italiano de Buenos Aires, Argentina, has an in-house electronic health record with computerized physician order entry and ...
    • A visual EEG epilepsy detection method based on a wavelet statistical representation and the Kullback-Leibler divergence 

      Quintero-Rincón, Antonio; Pereyra, Marcelo; D'Giano, Carlos; Batatia, Hadj; Risk, Marcelo (2017-10)
      "This paper presents a statistical signal processing method for the characterization of EEG of patients suffering from epilepsy. A statistical model is proposed for the signals and the Kullback-Leibler divergence is used ...
    • What is the expected learning curve in computer-assisted navigation for bone tumor resection? 

      Farfalli, Germán L.; Albergo, José I.; Ritacco, Lucas E.; Ayerza, Miguel A.; Milano, Federico E.; Aponte-Tinao, Luis A. (2017)
      "Background Computer navigation during surgery can help oncologic surgeons perform more accurate resections. However, some navigation studies suggest that this tool may result in unique intraoperative problems and increased ...