{"id":28181,"date":"2022-06-29T09:11:36","date_gmt":"2022-06-29T14:11:36","guid":{"rendered":"https:\/\/saluddigital.com\/?p=28181"},"modified":"2025-10-20T11:37:08","modified_gmt":"2025-10-20T17:37:08","slug":"la-mejora-del-autocuidado-en-diabetes-tipo-1-a-traves-de-dispositivos-moviles-y-aprendizaje-profundo","status":"publish","type":"post","link":"https:\/\/saluddigital.com\/en\/noticias\/la-mejora-del-autocuidado-en-diabetes-tipo-1-a-traves-de-dispositivos-moviles-y-aprendizaje-profundo\/","title":{"rendered":"Improving self-care in type 1 diabetes through mobile devices and deep learning"},"content":{"rendered":"
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Continuous glucose monitoring as well as the adoption of mobile devices has revolutionized the way people living with type 1 diabetes manage and monitor their condition.<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t
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Monitoring and self-control of blood glucose is one of the most important aspects for people living with type 1 diabetes mellitus (DM1), in this way adverse glycemic events and other short- and long-term complications can be avoided. . Thanks to technological advances, continuous glucose monitoring is a reality. There are sensors that measure the levels and that in turn can be scanned using a mobile device through an app. In addition, they have data visualization and download tools to make decisions about insulin doses.<\/p>

The study titled "Improving self-management in type 1 diabetes with wearable devices and deep learning," published in npj Digital Medicine journal<\/em> showed the monitoring of 12 adult patients with DM1 using continuous glucose monitoring and a clinically validated wearable sensor bracelet. The authors identified associations between physiological measurements, hypoglycemia, and hyperglycemia.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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They later developed a smartphone-based platform called ARISES (Adaptive, Real-Time, Intelligent System for Improving Self-Care). In addition to this, they implemented a deep learning algorithm that uses monitoring data, meal times, insulin dose, for the prediction of glucose levels, hyper and hypoglycemia.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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The mobile app is capable of interacting with mobile devices, in this case the bracelets, through a Bluetooth connection and is specially designed for DM1 users. As mentioned above, the app allows users to record various types of daily activities, exercise, health conditions, and also allows users to consult glucose measurements and their historical records.<\/p>

The method used a prediction horizon of 60 minutes and reached the parameters for the detection of hyperglycemia and hypoglycemia and reduced the mean square error.<\/p>

\u201cThe well-trained model is implemented in the ARISES application to provide real-time decision support. These results indicate that ARISES has great potential to mitigate the risk of serious complications and improve self-management in people with DM1\u201d, concludes the study.<\/p>

You can consult the complete results of this study by entering the following link: https:\/\/www.nature.com\/articles\/s41746-022-00626-5<\/a><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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NATURE<\/strong><\/p>

https:\/\/www.nature.com\/articles\/s41746-022-00626-5<\/a><\/p><\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<\/div>","protected":false},"excerpt":{"rendered":"

La monitorizaci\u00f3n continua de la glucosa, as\u00ed como la adopci\u00f3n de dispositivos m\u00f3viles ha revolucionado la forma en que las personas que viven con diabetes tipo 1 gestionan y controlan su condici\u00f3n. La monitorizaci\u00f3n y el autocontrol de la glucosa en la sangre, es uno de los aspectos m\u00e1s importantes para las personas que viven con diabetes mellitus tipo 1 (DM1), de esta forma se pueden evitar eventos gluc\u00e9micos adversos y dem\u00e1s complicaciones a corto y largo plazo. Gracias a los avances tecnol\u00f3gicos la monitorizaci\u00f3n continua de la glucosa es una realidad. Existen sensores que miden los niveles y que a su vez pueden ser escaneados utilizando un dispositivo m\u00f3vil a trav\u00e9s de una app. Adem\u00e1s, cuentan con herramientas de visualizaci\u00f3n y descarga de datos para tomar decisiones sobre las dosis de insulina. El estudio titulado \u201cMejorando la autogesti\u00f3n en la diabetes tipo 1 con dispositivos port\u00e1tiles y aprendizaje profundo\u201d, publicado en npj Digital Medicine mostr\u00f3 el monitoreo de 12 pacientes adultos con DM1 utilizando monitorizaci\u00f3n continua de la glucosa y una pulsera con un sensor port\u00e1til validada cl\u00ednicamente. Los autores identificaron asociaciones entre mediciones fisiol\u00f3gicas, hipoglucemia e hiperglucemia. Posteriormente desarrollaron una plataforma basada en tel\u00e9fonos inteligentes llamada ARISES (Sistema adaptativo, en tiempo real e inteligente para mejorar el autocuidado, en ingl\u00e9s). Sumado a esto implementaron un algoritmo de aprendizaje profundo que utiliza datos de la monitorizaci\u00f3n, horas de comida, dosis de insulina, para la predicci\u00f3n de niveles de glucosa, hiper e hipoglucemia. La app m\u00f3vil es capaz de interactuar con los dispositivos m\u00f3viles, en este caso las pulseras, a trav\u00e9s de conexi\u00f3n por Bluetooth y est\u00e1 dise\u00f1ada especialmente para los usuarios son DM1. Como se mencion\u00f3 anteriormente, la app permite que usuarios registren diversos tipos de actividades diarias, ejercicio, condiciones de salud, y adem\u00e1s permite consultar las mediciones de glucosa y sus registros hist\u00f3ricos. El m\u00e9todo utiliz\u00f3 un horizonte de predicci\u00f3n de 60 minutos y alcanz\u00f3 los par\u00e1metros para la detecci\u00f3n de hiperglucemia e hipoglicemia y redujo el error cuadr\u00e1tico medio. \u201cEl modelo bien entrenado se implementa en la aplicaci\u00f3n ARISES para brindar apoyo en la toma de decisiones en tiempo real. Estos resultados indican que ARISES tiene un gran potencial para mitigar el riesgo de complicaciones graves y mejorar el autocontrol de las personas con DM1\u201d, concluye el estudio. Puedes consultar los resultados completos de este estudio ingresando al siguiente enlace: https:\/\/www.nature.com\/articles\/s41746-022-00626-5 BIBLIOGRAF\u00cdA NATURE https:\/\/www.nature.com\/articles\/s41746-022-00626-5<\/p>","protected":false},"author":1,"featured_media":28183,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[3395,3401,160],"tags":[145],"class_list":["post-28181","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-apps-moviles-e-internet-de-las-cosas","category-iotapps","category-noticias","tag-noticias"],"aioseo_notices":[],"_links":{"self":[{"href":"https:\/\/saluddigital.com\/en\/wp-json\/wp\/v2\/posts\/28181","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/saluddigital.com\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/saluddigital.com\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/saluddigital.com\/en\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/saluddigital.com\/en\/wp-json\/wp\/v2\/comments?post=28181"}],"version-history":[{"count":0,"href":"https:\/\/saluddigital.com\/en\/wp-json\/wp\/v2\/posts\/28181\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/saluddigital.com\/en\/wp-json\/wp\/v2\/media\/28183"}],"wp:attachment":[{"href":"https:\/\/saluddigital.com\/en\/wp-json\/wp\/v2\/media?parent=28181"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/saluddigital.com\/en\/wp-json\/wp\/v2\/categories?post=28181"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/saluddigital.com\/en\/wp-json\/wp\/v2\/tags?post=28181"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}