F
Faijan Akhtar
Researcher at University of Electronic Science and Technology of China
Publications - 36
Citations - 417
Faijan Akhtar is an academic researcher from University of Electronic Science and Technology of China. The author has contributed to research in topics: Medicine & Computer science. The author has an hindex of 4, co-authored 13 publications receiving 33 citations.
Papers
More filters
Journal ArticleDOI
A Novel Hybrid Machine Learning Classification for the Detection of Bruxism Patients Using Physiological Signals
Belal Bin Heyat,Faijan Akhtar,Asif Khan,Alam Noor,Bilel Benjdira,Yumna Qamar,Syed Jafar Abbas,Dakun Lai +7 more
TL;DR: The results show that more accurate bruxism detection is achieved by exploiting the electroencephalogram signal (C4-P4) and the present work can be applied for home monitoring systems for bruXism detection.
Journal ArticleDOI
Frontal lobe real-time EEG analysis using machine learning techniques for mental stress detection.
Omar AlShorman,Mahmoud Masadeh,Belal Bin Heyat,Faijan Akhtar,Hossam Almahasneh,Ghulam Md Ashraf,Athanasios Alexiou +6 more
TL;DR: The frontal lobes EEG spectrum analysis is applied to detect mental stress and has low complexity, high accuracy, simple and easy to use, no over fitting, and it could be used as a real-time and continuous monitoring technique for medical applications.
Journal ArticleDOI
Progress in Detection of Insomnia Sleep Disorder: A Comprehensive Review.
Belal Bin Heyat,Faijan Akhtar,Mohammad Azam Ansari,Asif Khan,Fahed Alkahtani,Haroon Khan,Dakun Lai +6 more
TL;DR: The main objective of this study is to determine the all work conducted on insomnia detection and to make a database and to provide objectives for the future work to be proficient in a scientific and significant manner.
Journal ArticleDOI
Wearable Flexible Electronics Based Cardiac Electrode for Researcher Mental Stress Detection System Using Machine Learning Models on Single Lead Electrocardiogram Signal
Belal Bin Heyat,Faijan Akhtar,Syed Jafar Abbas,Mohammed Al-Sarem,Abdulrahman Alqarafi,Antony Stalin,Rashid Abbasi,A. Y. Muaad,Dakun Lai,Kaishun Wu +9 more
TL;DR: The findings suggest that the wearable smart T-shirt based on the DT classifier may be used in big data applications and health monitoring, and may help assess cardiovascular and related risk factors in the initial stage based on machine learning techniques.
Journal ArticleDOI
Detection, Treatment Planning, and Genetic Predisposition of Bruxism: A Systematic Mapping Process and Network Visualization Technique
TL;DR: It has been found that bruxism altogether has sleep, neurological, dental and genetic disorder components and is a complex phenomenon.