2 citations · 5 across the 20 of their papers we have counts for
20 papers
Personalized targeted memory reactivation enhances consolidation of challenging memories via slow wave and spindle dynamics
Gi-Hwan Shin, Young-Seok Kweon, Seungwon Oh +1
Sleep is crucial for memory consolidation, underpinning effective learning. Targeted memory reactivation (TMR) can strengthen neural representations by re-engaging learning circuit…
A Quantitative Framework for Assessing Sleep Quality from EEG Time Series in Complex Dynamic Systems
Gi-Hwan Shin
Modern lifestyles contribute to insufficient sleep, impairing cognitive function and weakening the immune system. Sleep quality (SQ) is vital for physiological and mental health, m…
Toward Practical BCI: A Real-time Wireless Imagined Speech EEG Decoding System
Ji-Ha Park, Heon-Gyu Kwak, Gi-Hwan Shin +4
Brain-computer interface (BCI) research, while promising, has largely been confined to static and fixed environments, limiting real-world applicability. To move towards practical B…
Neurophysiological Characteristics of Adaptive Reasoning for Creative Problem-Solving Strategy
Jun-Young Kim, Young-Seok Kweon, Gi-Hwan Shin +1
Adaptive reasoning enables humans to flexibly adjust inference strategies when environmental rules or contexts change, yet its underlying neural dynamics remain unclear. This study…
Consciousness-ECG Transformer for Conscious State Estimation System with Real-Time Monitoring
Young-Seok Kweon, Gi-Hwan Shin, Ji-Yong Kim +2
Conscious state estimation is important in various medical settings, including sleep staging and anesthesia management, to ensure patient safety and optimize health outcomes. Tradi…
Towards Personalized Brain-Computer Interface Application Based on Endogenous EEG Paradigms
Heon-Gyu Kwak, Gi-Hwan Shin, Yeon-Woo Choi +4
In this paper, we propose a conceptual framework for personalized brain-computer interface (BCI) applications, which can offer an enhanced user experience by customizing services t…
Relationship Between Mood, Sleepiness, and EEG Functional Connectivity by 40 Hz Monaural Beats
Ha-Na Jo, Young-Seok Kweon, Gi-Hwan Shin +2
The monaural beat is known that it can modulate brain and personal states. However, which changes in brain waves are related to changes in state is still unclear. Therefore, we aim…
Neurophysiological Response Based on Auditory Sense for Brain Modulation Using Monaural Beat
Ha-Na Jo, Young-Seok Kweon, Gi-Hwan Shin +2
Brain modulation is a modification process of brain activity through external stimulations. However, which condition can induce the activation is still unclear. Therefore, we aimed…
Impact of Nap on Performance in Different Working Memory Tasks Using EEG
Gi-Hwan Shin, Young-Seok Kweon, Heon-Gyu Kwak +2
Electroencephalography (EEG) has been widely used to study the relationship between naps and working memory, yet the effects of naps on distinct working memory tasks remain unclear…
Multi-Signal Reconstruction Using Masked Autoencoder From EEG During Polysomnography
Young-Seok Kweon, Gi-Hwan Shin, Heon-Gyu Kwak +2
Polysomnography (PSG) is an indispensable diagnostic tool in sleep medicine, essential for identifying various sleep disorders. By capturing physiological signals, including EEG, E…
Siamese Sleep Transformer For Robust Sleep Stage Scoring With Self-knowledge Distillation and Selective Batch Sampling
Heon-Gyu Kwak, Young-Seok Kweon, Gi-Hwan Shin
In this paper, we propose a Siamese sleep transformer (SST) that effectively extracts features from single-channel raw electroencephalogram signals for robust sleep stage scoring.…
Development of Personalized Sleep Induction System based on Mental States
Young-Seok Kweon, Gi-Hwan Shin, Heon-Gyu Kwak
Sleep is an essential behavior to prevent the decrement of cognitive, motor, and emotional performance and various diseases. However, it is not easy to fall asleep when people want…
Changes in Power and Information Flow in Resting-state EEG by Working Memory Process
Gi-Hwan Shin, Young-Seok Kweon, Heon-Gyu Kwak
Many studies have analyzed working memory (WM) from electroencephalogram (EEG). However, little is known about changes in the brain neurodynamics among resting-state (RS) according…
Differential EEG Characteristics during Working Memory Encoding and Re-encoding
Gi-Hwan Shin, Young-Seok Kweon
Many studies have discussed the difference in brain activity related to encoding and retrieval of working memory (WM) tasks. However, it remains unclear if there is a change in bra…
Possibility of Sleep Induction using Auditory Stimulation based on Mental States
Young-Seok Kweon, Gi-Hwan Shin
Sleep has a significant role to maintain our health. However, people have struggled with sleep induction because of noise, emotion, and complicated thoughts. We hypothesized that t…
Mobile BCI dataset of scalp- and ear-EEGs with ERP and SSVEP paradigms while standing, walking, and running
Young-Eun Lee, Gi-Hwan Shin, Minji Lee +1
We present a mobile dataset obtained from electroencephalography (EEG) of the scalp and around the ear as well as from locomotion sensors by 24 participants moving at four differen…
Automatic Micro-sleep Detection under Car-driving Simulation Environment using Night-sleep EEG
Young-Seok Kweon, Gi-Hwan Shin, Heon-Gyu Kwak +1
A micro-sleep is a short sleep that lasts from 1 to 30 secs. Its detection during driving is crucial to prevent accidents that could claim a lot of people's lives. Electroencephalo…
Predicting the Transition from Short-term to Long-term Memory based on Deep Neural Network
Gi-Hwan Shin, Young-Seok Kweon, Minji Lee
Memory is an essential element in people's daily life based on experience. So far, many studies have analyzed electroencephalogram (EEG) signals at encoding to predict later rememb…
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 Event Related Potential Speller Performance Using Resting-State EEG
Gi-Hwan Shin, Minji Lee, Hyeong-Jin Kim +1
Event-related potential (ERP) speller can be utilized in device control and communication for locked-in or severely injured patients. However, problems such as inter-subject perfor…