COVID-19 Detection by Means of ECG, Voice, and X-ray Computerized Systems: A Review

Resource type
Authors/contributors
Title
COVID-19 Detection by Means of ECG, Voice, and X-ray Computerized Systems: A Review
Abstract
Since the beginning of 2020, Coronavirus Disease 19 (COVID-19) has attracted the attention of the World Health Organization (WHO). This paper looks into the infection mechanism, patient symptoms, and laboratory diagnosis, followed by an extensive assessment of different technologies and computerized models (based on Electrocardiographic signals (ECG), Voice, and X-ray techniques) proposed as a diagnostic tool for the accurate detection of COVID-19. The found papers showed high accuracy rate results, ranging between 85.70% and 100%, and F1-Scores from 89.52% to 100%. With this state-of-the-art, we concluded that the models proposed for the detection of COVID-19 already have significant results, but the area still has room for improvement, given the vast symptomatology and the better comprehension of individuals’ evolution of the disease.
Publication
Bioengineering
Volume
10
Issue
2
Pages
198
Date
2023/2
Language
en
DOI
10.3390/bioengineering10020198
ISSN
2306-5354
Short Title
COVID-19 Detection by Means of ECG, Voice, and X-ray Computerized Systems
Accessed
3/21/23, 4:20 PM
Library Catalog
Extra
Number: 2 Publisher: Multidisciplinary Digital Publishing Institute
Citation
Ribeiro, P., Marques, J. A. L., & Rodrigues, P. M. (2023). COVID-19 Detection by Means of ECG, Voice, and X-ray Computerized Systems: A Review. Bioengineering, 10(2), 198. https://doi.org/10.3390/bioengineering10020198