Accès ouvert
2025
article
OpenAlex
Mohammed Karim, Al Shahriar Uddin Khondakar Pranta, Farhan Bin Jashim, M. M. H. Bhuiyan et autres
Mental health disorders, including anxiety, depression, and emotional dysregulation, affect hundreds of millions globally, yet early diagnosis remains a challenge due to the reliance on subjective assessments such as psychometric tests and clinician observations. While EEG-based emotion recognition offers a non-invasive, cost-effective …
us
(code pays fourni par la source)
Accès ouvert
2025
article
OpenAlex
Anamul Haque Sakib, Amira Hossain, Farhan Bin Jashim, Al Shahriar Uddin Khondakar Pranta
The optimal electrode configuration for sleep monitoring remains an important question for practical applications. This study investigates single versus dual-channel approaches for sleep stage classification using Fpz-CZ and Pz-Oz recordings from the Physionet dataset. We develop optimized models for each channel independently …
us
(code pays fourni par la source)
Accès ouvert
2025
article
OpenAlex
Anamul Haque Sakib, Amira Hossain, Farhan Bin Jashim, Al Shahriar Uddin Khondakar Pranta
Data augmentation can address limited training data and class imbalance in sleep stage classification. This study presents a comprehensive framework of EEG-specific augmentation techniques to improve model robustness using the Physionet dataset. We implement traditional time-series transformations (time warping, magnitude scaling, jittering) …
us
(code pays fourni par la source)
Accès ouvert
2025
article
OpenAlex
Fajle Rabbi Refat, Farhan Bin Jashim, M. M. H. Bhuiyan, Abdullah Al Masum et autres
Sleep stage classification accuracy often suffers from inter-subject variability and signal artifacts. This study presents a novel ensemble learning framework for robust sleep stage classification using single-channel EEG data from the Physionet database. We develop specialized base classifiers optimized for each sleep …
us, gb
(code pays fourni par la source)