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

Journal of King Saud University - Science - Tập 35 - Trang 102927 - 2023
Abu Sarwar Zamani1,2, Aisha Hassan Abdalla Hashim1, Md. Mobin Akhtar3, Faizan Samdani4, Ahmad Talha Siddiqui5, Adel Alluhayb6, Manar Ahmed Hamza2, Naved Ahmad7
1Department of Electrical and Computer Engineering, International Islamic University Malaysia, Kuala Lumpur, 53100, Malaysia
2Department of Computer and Self Development, Preparatory Year Deanship, Prince Sattam bin Abdulaziz University, AlKharj, Saudi Arabia
3Department of Basic Sciences, Riyadh Elm University (REU), Riyadh, Saudi Arabia
4Department of Computer Engineering, Asia Pacific University, Bukit Jalil, Kuala Lumpur, Malaysia
5Department of CS & IT, Maulana Azad National Urdu University, India
6IT & Computer Science Department, College of Science and Humanities, Al Quwaiiyah, Shaqra University, Saudi Arabia
7College of Applied Sciences, AlMaarefa University, P.O.Box 71666, Riyadh 13713, Saudi Arabia

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Journal of King Saud University - Science

Tập 35

102927

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