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20242026
most citedNeuroSleepNet: An Explainable Multi-Head Attention-Based Framework With Spatial and Multi-Scale Independent Temporal Context Learning for Automatic Sleep Stage Scoring

1 citations · 1 across the 3 of their papers we have counts for

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eess.SP2025

Optimized Feature Selection and Neural Network-Based Classification of Motor Imagery Using EEG Signals

Muhammad Sudipto Siam Dip, Mohammod Abdul Motin, Md. Anik Hasan +1

Objective: Machine learning- and deep learning-based models have recently been employed in motor imagery intention classification from electroencephalogram (EEG) signals. Neverthel…

eess.SP2024★ 1 cited

NeuroSleepNet: An Explainable Multi-Head Attention-Based Framework With Spatial and Multi-Scale Independent Temporal Context Learning for Automatic Sleep Stage Scoring

Muhammad Sudipto Siam Dip, Mohammod Abdul Motin, Chandan Karmakar +2

Automatic sleep stage scoring is crucial for monitoring sleep quality and sleep-related disorders. However, most existing electroencephalogram (EEG) based deep learning frameworks…