Real-time wearable device for predicting a long covid patient's condition

• Main Authors: AbdelRahman, AbdelGawad Tamer, Nordin, Nor Hidayati Diyana, Toha, Siti Fauziah, Idris, Ahmad Syahrin
• Format: Conference or Workshop Item
• Language: English
• Published: IET 2022
• Subjects: T Technology (General); T351 Mechanical drawing. Engineering graphics
• Online Access: http://irep.iium.edu.my/101570/1/2022%20IET%20AbdelRahman.pdf; http://irep.iium.edu.my/101570/; https://digital-library.theiet.org/content/conferences/10.1049/icp.2022.2279
• Institution: Universiti Islam Antarabangsa Malaysia

This paper aims to develop a wearable device that can be able to Predict the long covid-19 patients’ conditions, to notify the doctors on a real-time basis. Long covid-19 patients suffer a lot during their daily activities especially if the lasting symptom is related to the respiratory system. By...