In the last months, due to the pandemic, telemedicine has been emerging more and more as a vital technology for providing medical care to patients, while also attempting to minimize COVID-19 transmission among patients, families, and medical doctors. This involves developing and exploiting virtual platforms enabling clinicians to remotely monitor patients’ vitals, such as the blood pressure or the electrocardiogram (ECG). In this context, this paper aims at defining a smart framework for automatically analyzing electrocardiograms, to be used at the patient’s home or at the entrance of First Aids, allowing to: (i) efficiently and effectively discover normal and anomalous situations in patient’s ECGs; (ii) automatically collect ECGs from commercial and effective ECG devices; (iii) be integrated into a smart app, supported by intelligent agents, which promptly provides patients with feedback about their health status.

A Smart Framework for Automatically Analyzing Electrocardiograms

Persia, Fabio
;
Costantini, Stefania
;
Ferri, Claudio
;
2021

Abstract

In the last months, due to the pandemic, telemedicine has been emerging more and more as a vital technology for providing medical care to patients, while also attempting to minimize COVID-19 transmission among patients, families, and medical doctors. This involves developing and exploiting virtual platforms enabling clinicians to remotely monitor patients’ vitals, such as the blood pressure or the electrocardiogram (ECG). In this context, this paper aims at defining a smart framework for automatically analyzing electrocardiograms, to be used at the patient’s home or at the entrance of First Aids, allowing to: (i) efficiently and effectively discover normal and anomalous situations in patient’s ECGs; (ii) automatically collect ECGs from commercial and effective ECG devices; (iii) be integrated into a smart app, supported by intelligent agents, which promptly provides patients with feedback about their health status.
978-1-6654-3412-6
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11697/177433
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