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dc.date.accessioned 2023-06-05T13:13:17Z
dc.date.available 2023-06-05T13:13:17Z
dc.date.issued 2022
dc.identifier.uri http://sedici.unlp.edu.ar/handle/10915/153893
dc.description.abstract En este trabajo se presenta la experiencia argentina en el problema de regulación de los niveles de glucosa en sangre para pacientes con Diabetes Mellitus Tipo 1 (insulino-dependientes), denominado Páncreas Artificial. El grupo de trabajo ha realizado 3 pruebas clínicas, las primeras en Latinoamérica. Las dos primeras fueron concretadas en 2016 y 2017, ambas en el Hospital Italiano de Buenos Aires (HIBA) con 5 pacientes adultos durante 36 hs. En la segunda de ellas se utilizó un nuevo algoritmo de control de lazo cerrado puro (sin bolo prandial), llamado ARG (Automatic Regulation of Glucose) y basado en un control LQG conmutado en combinación con una capa de seguridad llamada SAFE (Safety Auxiliary Feedback Element). Más recientemente y en plena pandemia de COVID-19 se llevó a cabo la primera prueba ambulatoria, realizada en 2021 en un hotel con 5 pacientes durante 6 días. En esta tercera prueba además, se utilizó una plataforma desarrollada por la Universidad Nacional de La Plata (UNLP), denominada InsuMate. Ésta conecta el celular con la bomba de insulina y el monitor de glucosa, aloja el algoritmo de control y permite el monitoreo remoto de múltiples pacientes. Los resultados obtenidos sugieren que el uso del algoritmo ARG en forma ambulatoria es factible, seguro y eficaz en comparación con la terapia usual. Asimismo, la plataforma InsuMate resultó ser intuitiva y sencilla para los usuarios, tanto médicos como pacientes participantes del ensayo, logrando un tiempo de funcionamiento del lazo cerrado superior al 95 %. es
dc.description.abstract In this work, we present the experience of our research group with the glucose regulation in people with Type 1 Diabetes (insulin-dependent), known as artificial pancreas. Our research group has carried out three clinical trials in Argentina, which were the first ones in Latin America. The first two studies took place in 2016 and 2017, both in the Hospital Italiano de Buenos Aires (HIBA) with five adult subjects and a duration of 36 hours. The second trial evaluated the performance of a novel closed-loop control algorithm (without meal insulin boluses), called ARG (Automatic Regulation of Glucose) and based on switched LQG control and a safety layer called SAFE (Safery Auxiliary Feedback Element), developed by researchers of our team. More recently and during COVID-19 pandemic, the first ambulatory trials took place, which were carried out in 2021 in a hotel with 5 subjects during 6 days. Additionally, for this third trial, the use of the artificial pancreas platform developed by the UNLP, called InsuMate, was incorporated. This platform connects a smartphone with the insulin pump and glucose monitor, houses the control algorithm, and allows the remote monitoring of multiple users. The results suggest that the ambulatory use of the ARG algorithm is feasible, safe and effective, compared to the usual treatment. In addition, the InsuMate platform was intuitive and easy to use for both healthcare staff and participants of the trial, achieving an over 95% of time in closed-loop. en
dc.format.extent 318-329 es
dc.language es es
dc.subject páncreas artificial es
dc.subject ensayos clínicos es
dc.subject control conmutado es
dc.subject artificial pancreas es
dc.subject clinical trials es
dc.subject switched control es
dc.title Control no-híbrido de glucemia ensayado en pacientes ambulatorios con Diabetes Tipo 1 es
dc.title.alternative Non-hybrid glycemic control of type 1 diabetes ambulatory patients en
dc.type Articulo es
sedici.identifier.other https://doi.org/10.4995/riai.2022.16652 es
sedici.identifier.issn 1697-7920 es
sedici.identifier.issn 1697-7912 es
sedici.creator.person Garelli, Fabricio es
sedici.creator.person Fushimi, Emilia es
sedici.creator.person Rosales, Nicolás es
sedici.creator.person Arambarri, Delfina es
sedici.creator.person Serafini, María Cecilia es
sedici.creator.person De Battista, Hernán es
sedici.creator.person Grosembacher, Luis A. es
sedici.creator.person Sánchez-Peña, Ricardo S. es
sedici.subject.materias Ingeniería es
sedici.subject.materias Salud es
sedici.description.fulltext true es
mods.originInfo.place Instituto de Investigaciones en Electrónica, Control y Procesamiento de Señales es
sedici.subtype Articulo es
sedici.rights.license Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
sedici.rights.uri http://creativecommons.org/licenses/by-nc-sa/4.0/
sedici.description.peerReview peer-review es
sedici.relation.journalTitle Revista Iberoamericana de Automática e Informática Industrial es
sedici.relation.journalVolumeAndIssue vol. 19, no. 3 es


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