7 citations · 11 across the 15 of their papers we have counts for
6 papers · 1 filter
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…
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…
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…
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…
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…
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…