Continuous Monitoring for Diagnosis: A Wearable for Covid-19 Detection in Symptomatic Patients
2023 IEEE International Conference on Consumer Electronics, ICCE 2023
; 2023-January, 2023.
Artículo
en Inglés
| Scopus | ID: covidwho-2272146
ABSTRACT
We develop an approach for systematically designing continuous monitoring solutions for early symptom diagnosis. Effective early diagnosis requires collecting and correlating symptoms derived from a number of vitals. For designing a continuous monitoring solution, it is crucial to determine the vitals to be monitored for targeted detection, the errors that can be tolerated, various parameters that need to be tuned, etc. Furthermore, this determination must be made before the design of the monitoring solution itself. Our approach shows how to use a variety of machine learning techniques to systematically derive, tune, and optimize the vitals to be monitored before accessing the continuous monitoring data. We show the effectiveness of our approach in the design of a wearable for early detection of COVID-19 infections in symptomatic patients. © 2023 IEEE.
Texto completo:
Disponible
Colección:
Bases de datos de organismos internacionales
Base de datos:
Scopus
Idioma:
Inglés
Revista:
2023 IEEE International Conference on Consumer Electronics, ICCE 2023
Año:
2023
Tipo del documento:
Artículo
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