Non-Contact Monitoring and Classification of Breathing Pattern for the Supervision of People Infected by COVID-19

• Published in: Sensors (Basel, Switzerland) Vol. 21; no. 9; p. 3172
• Main Authors: Purnomo, Ariana Tulus, Lin, Ding-Bing, Adiprabowo, Tjahjo, Hendria, Willy Fitra
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 03.05.2021; MDPI
• Subjects: Auscultation; Body temperature; Cameras; Coronaviruses; COVID-19; Doppler radar; FMCW; Machine learning; Medical imaging; MFCC; Pandemics; Patients; Privacy; Radiation; Real time; Respiration; Severe acute respiratory syndrome coronavirus 2; Ultrasonic imaging; vital sign; XGBoost

During the pandemic of coronavirus disease-2019 (COVID-19), medical practitioners need non-contact devices to reduce the risk of spreading the virus. People with COVID-19 usually experience fever and have difficulty breathing. Unsupervised care to patients with respiratory problems will be the main...