{"id":25171,"date":"2022-05-11T08:57:08","date_gmt":"2022-05-11T13:57:08","guid":{"rendered":"https:\/\/saluddigital.com\/?p=25171"},"modified":"2025-10-20T11:58:07","modified_gmt":"2025-10-20T17:58:07","slug":"mayo-clinic-desarrollo-algoritmo-para-la-deteccion-de-problemas-en-el-corazon-por-medio-de-wearables","status":"publish","type":"post","link":"https:\/\/saluddigital.com\/en\/noticias\/mayo-clinic-desarrollo-algoritmo-para-la-deteccion-de-problemas-en-el-corazon-por-medio-de-wearables\/","title":{"rendered":"Mayo Clinic developed algorithm for detecting heart problems through wearables"},"content":{"rendered":"
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Mayo Clinic researchers have developed an Artificial Intelligence algorithm that sends signals to a wearable to identify weak heartbeats.<\/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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Mayo Clinic developed an algorithm that uses EKG signals from an Apple Watch to identify weak heart pumping or bradycardia. This advance specifically seeks to identify low ventricular ejection fraction, which is a sign of heart disease, such as cardiomyopathy.<\/p>

This development could be an important advance in the implementation of more accessible resources for the identification of patterns of heart disease. In this way, it could be easier to carry out traditional ECGs that require the 12 electrodes to be placed on the chest, arms and legs.<\/p>

To test the algorithm, patients signed up via email to participate in a decentralized prospective study. Thanks to the high participation, the tool to be developed was scalable for the detection and monitoring of cardiac patients. The study abstract was recently presented at a Heart Rhythm Society conference.<\/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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\u201cWhat is important is that once we know there is a weak heartbeat, there are many treatments available to save lives and prevent symptoms. It is absolutely remarkable that AI transforms the ECG signal from a consumer watch into a detector for this condition, which would normally require an expensive and sophisticated imaging test such as an echocardiogram, CT scan or MRI,\u201d explained Paul Friedman , chairman of the Department of Cardiovascular Medicine at Mayo Clinic in Rochester.<\/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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Research showed that the 12-lead ECG and AI algorithm can identify weak heartbeats, and this information is important for disease detection.<\/p>

In addition, to connect the AI algorithm and the wearable, researchers at the Mayo Clinic Digital Health Center developed an exclusive mobile app for the more than 2,400 participants. "The app securely sends all previous and additional surveillance ECGs as they are recorded by patients to Mayo's secure data platform," Mayo Clinic explained in its news release.<\/p>

\u201cAdvanced diagnostics that once required traveling to a clinic can be performed with precision, as this Apple Watch ECG study demonstrates, from the wrist of a patient, whether they live in Brazil or Baton Rouge. App-based access to a medical center can help address health disparities by making real-time, high-level diagnoses accessible to more people,\u201d said Bradley Leibovich, medical director of the Mayo Clinic Center for Digital Health.<\/p>

In this way, through the use of AI and a mobile device supported by an app, it was possible to obtain relevant medical information for the prevention or detection of diseases in a simple way.<\/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\t BIBLIOGRAPHY<\/a>\n\t\t\t\t\t<\/div>\n\n\t\t\t\t\t

MAYO CLINIC<\/strong><\/p>

https:\/\/newsnetwork.mayoclinic.org\/discussion\/mayo-researchers-use-ai-to-detect-weak-heart-pump-via-patients-apple-watch-ecgs\/<\/a><\/p>

HEALTH IT ANALYTICS<\/strong><\/p>

https:\/\/healthitanalytics.com\/news\/mayo-clinic-developed-ai-algorithm-can-detect-weak-heart-function<\/a><\/p>

AURORA HEALTHCARE<\/strong><\/p>

https:\/\/es.aurorahealthcare.org\/services\/heart-vascular\/conditions\/low-ejection-fraction<\/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":"

Investigadores de Mayo Clinic desarrollaron un algoritmo de Inteligencia Artificial que env\u00eda se\u00f1ales a un wearable para identificar latidos d\u00e9biles del coraz\u00f3n. Mayo Clinic, desarroll\u00f3 un algoritmo que utiliza las se\u00f1ales de electrocardiograma de un Apple Watch, para identificar bombeo cardiaco d\u00e9bil o bradicardia. Este avance busca espec\u00edficamente identificar una fracci\u00f3n de eyecci\u00f3n ventricular baja, que es un signo de enfermedades cardiacas, como miocardiopat\u00eda. Este desarrollo podr\u00eda ser un avance importante en la implementaci\u00f3n de recursos m\u00e1s accesibles para la identificaci\u00f3n de patrones de enfermedades cardiacas.  De esta forma, se podr\u00eda facilitar la realizaci\u00f3n de ECG tradicionales que requieren que los 12 electrodos se coloquen en el pecho, brazos y piernas. Para probar el algoritmo los pacientes se inscribieron a trav\u00e9s de correo electr\u00f3nico para participar en un estudio prospectivo descentralizado. Gracias a la alta participaci\u00f3n la herramienta a desarrollar fue escalable para la detecci\u00f3n y monitoreo de pacientes cardiacos. Recientemente se present\u00f3 el resumen del estudio durante una conferencia de Heart Rhythm Society. \u201cLo que es importante es que una vez que sabemos que hay un latido cardiaco d\u00e9bil, existen muchos tratamientos disponibles para salvar vidas y prevenir los s\u00edntomas. Es absolutamente notable que la IA transforme la se\u00f1al de ECG de un reloj de consumo en un detector de esta afecci\u00f3n, que normalmente requerir\u00eda una prueba de imagen costosa y sofisticada, como un ecocardiograma, una tomograf\u00eda computarizada o una resonancia magn\u00e9tica\u201d, explic\u00f3 Paul Friedman, presidente del Departamento de Medicina Cardiovascular de Mayo Clinic en Rochester. Las investigaciones mostraron que el ECG de 12 derivaciones y el algoritmo de IA pueden identificar los latidos cardiacos d\u00e9biles, y que esta informaci\u00f3n es importante para la detecci\u00f3n de enfermedades. Adem\u00e1s, para conectar el algoritmo de IA y el wearable, investigadores del Centro de Salud Digital de Mayo Clinic, desarrollaron una app m\u00f3vil exclusiva para los m\u00e1s de 2 mil 400 participantes.  “La aplicaci\u00f3n envi\u00f3 de manera segura todos los ECG de vigilancia anteriores y otros adicionales a medida que los registraron los pacientes a una plataforma de datos segura de Mayo”, explic\u00f3 Mayo Clinic en su comunicado de prensa. \u201cLos diagn\u00f3sticos avanzados que alguna vez requer\u00edan viajar a una cl\u00ednica se pueden realizar con precisi\u00f3n, como lo demuestra este estudio de ECG de Apple Watch, desde la mu\u00f1eca de un paciente, ya sea que viva en Brasil o Baton Rouge. El acceso basado en aplicaciones a un centro m\u00e9dico puede ayudar a abordar las disparidades de salud al hacer que m\u00e1s personas puedan acceder a diagn\u00f3sticos de alto nivel en tiempo real\u201d, explic\u00f3 Bradley Leibovich, director m\u00e9dico del Centro de Salud Digital de Mayo Clinic. De esta forma, mediante el uso de IA y un dispositivo m\u00f3vil apoyado de una app, fue posible obtener informaci\u00f3n m\u00e9dica relevante para la prevenci\u00f3n o detecci\u00f3n de enfermedades de forma sencilla. BIBLIOGRAF\u00cdA MAYO CLINIC https:\/\/newsnetwork.mayoclinic.org\/discussion\/mayo-researchers-use-ai-to-detect-weak-heart-pump-via-patients-apple-watch-ecgs\/ HEALTH IT ANALYTICS https:\/\/healthitanalytics.com\/news\/mayo-clinic-developed-ai-algorithm-can-detect-weak-heart-function AURORA HEALTHCARE https:\/\/es.aurorahealthcare.org\/services\/heart-vascular\/conditions\/low-ejection-fraction<\/p>","protected":false},"author":1,"featured_media":25173,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[3395,3393,160],"tags":[145],"class_list":["post-25171","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-apps-moviles-e-internet-de-las-cosas","category-inteligencia-artificial-y-ciencia","category-noticias","tag-noticias"],"aioseo_notices":[],"_links":{"self":[{"href":"https:\/\/saluddigital.com\/en\/wp-json\/wp\/v2\/posts\/25171","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=25171"}],"version-history":[{"count":0,"href":"https:\/\/saluddigital.com\/en\/wp-json\/wp\/v2\/posts\/25171\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/saluddigital.com\/en\/wp-json\/wp\/v2\/media\/25173"}],"wp:attachment":[{"href":"https:\/\/saluddigital.com\/en\/wp-json\/wp\/v2\/media?parent=25171"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/saluddigital.com\/en\/wp-json\/wp\/v2\/categories?post=25171"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/saluddigital.com\/en\/wp-json\/wp\/v2\/tags?post=25171"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}