The department of Electronic Engineering is delighted to announce that the study, "Advanced Sensing System for Sleep Bruxism across Multiple Postures via EMG and Machine Learning" has been successfully published in a Q1 journal.
It was lead by Dr Jahan Zeb Gul with the support of our department, especially the invaluable assistance in the fabrication of PCBs.
The study introduces a novel approach to detecting and analyzing sleep bruxism across different postures by integrating EMG Soft Sensors with advanced machine-learning algorithms. This innovation allows for more accurate diagnosis and monitoring of this condition.
The publication can be accessed online via the link below: Congratulations to all involved
https://www.mdpi.com/1424-8220/24/16/5426
Congratulations to all involved.