most citedReconstructing ERP Signals Using Generative Adversarial Networks for Mobile Brain-Machine Interface

7 citations · 11 across the 15 of their papers we have counts for

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eess.SP2023

Local-Global Temporal Fusion Network with an Attention Mechanism for Multiple and Multiclass Arrhythmia Classification

Yun Kwan Kim, Minji Lee, Kunwook Jo +2

Clinical decision support systems (CDSSs) have been widely utilized to support the decisions made by cardiologists when detecting and classifying arrhythmia from electrocardiograms…

eess.SP2020

Decoding Visual Recognition of Objects from EEG Signals based on Attention-Driven Convolutional Neural Network

Jenifer Kalafatovich, Minji Lee, Seong-Whan Lee

The ability to perceive and recognize objects is fundamental for the interaction with the external environment. Studies that investigate them and their relationship with brain acti…

eess.SP2020

Classification of Imagined Speech Using Siamese Neural Network

Dong-Yeon Lee, Minji Lee, Seong-Whan Lee

Imagined speech is spotlighted as a new trend in the brain-machine interface due to its application as an intuitive communication tool. However, previous studies have shown low cla…

eess.SP20207 cited

Reconstructing ERP Signals Using Generative Adversarial Networks for Mobile Brain-Machine Interface

Young-Eun Lee, Minji Lee, Seong-Whan Lee

Practical brain-machine interfaces have been widely studied to accurately detect human intentions using brain signals in the real world. However, the electroencephalography (EEG) s…

eess.SP2020

Assessment of Unconsciousness for Memory Consolidation Using EEG Signals

Gi-Hwan Shin, Minji Lee, Seong-Whan Lee

The assessment of consciousness and unconsciousness is a challenging issue in modern neuroscience. Consciousness is closely related to memory consolidation in that memory is a crit…

eess.SP2020

Prediction of Memory Retrieval Performance Using Ear-EEG Signals

Jenifer Kalafatovich, Minji Lee, Seong-Whan Lee

Many studies have explored brain signals during the performance of a memory task to predict later remembered items. However, prediction methods are still poorly used in real life a…