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
;
2021-01-01

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.
2021
978-1-6654-3412-6
File in questo prodotto:
File Dimensione Formato  
transai2021.pdf

solo utenti autorizzati

Tipologia: Documento in Versione Editoriale
Licenza: Creative commons
Dimensione 1.76 MB
Formato Adobe PDF
1.76 MB Adobe PDF   Visualizza/Apri   Richiedi una copia
Pubblicazioni consigliate

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11697/177433
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 7
  • ???jsp.display-item.citation.isi??? ND
social impact