{"id":10919,"date":"2020-11-11T09:49:05","date_gmt":"2020-11-11T15:49:05","guid":{"rendered":"https:\/\/saluddigital.com\/?p=10919"},"modified":"2025-10-21T14:14:11","modified_gmt":"2025-10-21T20:14:11","slug":"dispositivo-inteligente-capaz-de-detectar-covid-19","status":"publish","type":"post","link":"https:\/\/saluddigital.com\/en\/comunidades-conectadas\/dispositivo-inteligente-capaz-de-detectar-covid-19\/","title":{"rendered":"Wearable device capable of early detection of COVID-19 through an algorithm, receives US Army Medical Center award"},"content":{"rendered":"
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Additionally, the device will collaborate on a study with The Northwell Health's Feinstein Institutes for Medical Research to detect diseases in its employees. <\/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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The US Army Medical Research Unit awarded a $2.5 million award to this device, Fitbit. It is a smartwatch or smartwatch, capable of knowing initial stages of infection in users and in this way apply a test quickly and continue with prevention or quarantine measures in case of positive result.<\/p>

\u201cThe combination of Feinstein Institutes\u2019 research expertise, Northwell\u2019s COVID-19 testing capabilities and Fitbit\u2019s promising algorithm in development, presents a unique opportunity to accelerate early detection of COVID-19, particularly for our frontline health care workers,\u201d explained Dr Karina Davidson, vice president of the Feinstein Institutes.<\/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 company in charge of this device began in May to register participants for the study, in order to collect information from users over the age of 21 who had confirmed COVID-19 or symptoms of the disease.<\/p>

In this way, after an analysis, the Fitbit device was shown to detect about 50% of COVID-19 cases a day before users reported symptoms. The most effective metrics when predicting the onset of infection are breathing rate, resting heart rate, and heart rate variability, usually monitored overnight.<\/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

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In this way, through this technology it is possible to act faster on early detection in patients belonging to risk groups, and also helps to reduce the spread by detecting asymptomatic patients.<\/p>

\u201cOur research shows that our bodies start to fight the disease before more visible symptoms appear and we believe Fitbit can reliably detect these signals, giving us an incredible opportunity to get ahead of this virus and help alert people that they could be sick before they unknowingly spread it to others. This award will help advance this important research,\u201d said Amy McDonough, CEO of Fitbit.<\/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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\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/i><\/span>\n\t\t\t\t\t\t\t\t<\/i><\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t\t\tBIBLIOGRAPHY<\/a>\n\t\t\t\t\t<\/div>\n\n\t\t\t\t\t

MOBIHEALTH NEWS<\/strong><\/p>

https:\/\/www.mobihealthnews.com\/news\/fitbit-receives-army-award-further-develop-its-covid-19-early-detection-algorithm<\/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":"

Adicionalmente, el dispositivo colaborar\u00e1 en un estudio con los Northwell Health\u2019s Feinstein Institutes for Medical Research para la detecci\u00f3n de enfermedades en sus empleados. La Unidad de investigaci\u00f3n m\u00e9dica del US Army, otorg\u00f3 un premio de 2.5 millones de d\u00f3lares a este dispositivo, Fitbit. Se trata de un reloj inteligente o smartwatch, capaz de conocer etapas iniciales de infecci\u00f3n en los usuarios y de esta forma aplicar una prueba de manera r\u00e1pida y continuar con las medidas de prevenci\u00f3n o de cuarentena en caso de resultado positivo. \u201cLa combinaci\u00f3n de la experiencia en investigaci\u00f3n de los Institutos Feinstein, las capacidades de prueba de COVID-19 de Northwell y el prometedor algoritmo de Fitbit en desarrollo, presenta una oportunidad \u00fanica para acelerar la detecci\u00f3n temprana de COVID-19, particularmente para nuestros trabajadores de atenci\u00f3n m\u00e9dica de primera l\u00ednea\u201d, explic\u00f3 la Dra. Karina Davidson, vicepresidenta de los Feinstein Institutes. La compa\u00f1\u00eda encargada de este dispositivo comenz\u00f3 en mayo a inscribir participantes para el estudio, para de esta forma recolectar informaci\u00f3n de usuarios mayores a 21 a\u00f1os que tuvieran COVID-19 confirmado o s\u00edntomas de la enfermedad. De esta forma, tras un an\u00e1lisis, se demostr\u00f3 que el dispositivo Fitbit, es capaz de detectar cerca del 50% de los casos de COVID-19 un d\u00eda antes de que los usuarios reportaran la aparici\u00f3n de s\u00edntomas. Las m\u00e9tricas m\u00e1s eficaces al momento de predecir la aparici\u00f3n de la infecci\u00f3n, son la frecuencia respiratoria, frecuencia cardiaca en reposo y la variabilidad de la frecuencia cardiaca, generalmente monitoreada durante la noche. De esta forma, a trav\u00e9s de esta tecnolog\u00eda es posible actuar m\u00e1s r\u00e1pido en la detecci\u00f3n temprana en pacientes pertenecientes a grupos de riesgo, y adem\u00e1s ayuda a reducir la propagaci\u00f3n al detectar pacientes asintom\u00e1ticos. \u201cNuestra investigaci\u00f3n muestra que nuestros cuerpos comienzan a luchar contra la enfermedad antes de que aparezcan s\u00edntomas m\u00e1s visibles y creemos que Fitbit puede detectar estas se\u00f1ales de manera confiable, lo que nos brinda una oportunidad incre\u00edble para adelantarnos a este virus y ayudar a alertar a las personas de que podr\u00edan estar enfermas antes de saberlo, y as\u00ed evitar difundirlo a otros. Este premio ayudar\u00e1 a avanzar en esta importante investigaci\u00f3n\u201d, dijo Amy McDonough, CEO de Fitbit. BIBLIOGRAF\u00cdA MOBIHEALTH NEWS https:\/\/www.mobihealthnews.com\/news\/fitbit-receives-army-award-further-develop-its-covid-19-early-detection-algorithm<\/p>","protected":false},"author":1,"featured_media":10920,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[154,155],"tags":[145],"class_list":["post-10919","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-comunidades-conectadas","category-el-mundo-en-la-nube","tag-noticias"],"aioseo_notices":[],"_links":{"self":[{"href":"https:\/\/saluddigital.com\/en\/wp-json\/wp\/v2\/posts\/10919","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=10919"}],"version-history":[{"count":0,"href":"https:\/\/saluddigital.com\/en\/wp-json\/wp\/v2\/posts\/10919\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/saluddigital.com\/en\/wp-json\/wp\/v2\/media\/10920"}],"wp:attachment":[{"href":"https:\/\/saluddigital.com\/en\/wp-json\/wp\/v2\/media?parent=10919"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/saluddigital.com\/en\/wp-json\/wp\/v2\/categories?post=10919"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/saluddigital.com\/en\/wp-json\/wp\/v2\/tags?post=10919"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}