The prediction of sleep quality using wearable-assisted smart health monitoring systems based on statistical data

• Main Authors: Zamani, Abu Sarwar, Hassan Abdalla Hashim, Aisha, Akhtar, Md. Mobin, Samdani, Faizan, Siddiqui, Ahmad Talha, Alluhayb, Adel, Hamza, Manar Ahmed, Ahmad, Naved
• Format: Article
• Language: English; English
• Published: Elsevier 2023
• Subjects: TK7885 Computer engineering
• Online Access: http://irep.iium.edu.my/108129/7/108129_The%20prediction%20of%20sleep%20quality%20using%20wearable-assisted.pdf; http://irep.iium.edu.my/108129/8/108129_The%20prediction%20of%20sleep%20quality%20using%20wearable-assisted_Scopus.pdf; http://irep.iium.edu.my/108129/; https://www.sciencedirect.com/science/article/pii/S1018364723003890?via%3Dihub
• Institution: Universiti Islam Antarabangsa Malaysia

The technology, which plays a significant role in our lives, has made it possible for many of the appliances and gadgets we use on a daily basis to be monitored and controlled remotely. Health and fitness data is collected by wearable devices attached to patients' bodies. A number of parties co...