Changhee Han

发表

Development of an electrooculogram-based human-computer interface using involuntary eye movement by spatially rotating sound for communication of locked-in patients

C. Im, Do Yeon Kim, Changhee Han, 2018, Scientific Reports.

Assessment of user voluntary engagement during neurorehabilitation using functional near-infrared spectroscopy: a preliminary study

C. Im, Han-Jeong Hwang, Changhee Han, 2018, Journal of NeuroEngineering and Rehabilitation.

An Artificial Neural-Network Approach for Motor Hotspot Identification Based on Electroencephalography: A Proof-of-Concept Study

Han-Jeong Hwang, N. Paik, Changhee Han, 2021, bioRxiv.

An artificial neural-network approach to identify motor hotspot for upper-limb based on electroencephalography: a proof-of-concept study

Han-Jeong Hwang, N. Paik, Wonseok Kim, 2021, Journal of NeuroEngineering and Rehabilitation.

Deep Convolutional Neural Network Based Eye States Classification Using Ear-EEG

Han-Jeong Hwang, Changhee Han, G. Choi, 2021, Expert Syst. Appl..

On the Feasibility of Using an Ear-EEG to Develop an Endogenous Brain-Computer Interface

Chang-Hwan Im, Jaeyoung Shin, Han-Jeong Hwang, 2018, Sensors.

An emergency call system for patients in locked-in state using an SSVEP-based brain switch.

Chang-Hwan Im, Ho-Seung Cha, Han-Jeong Hwang, 2017, Psychophysiology.

A new dual-frequency stimulation method to increase the number of visual stimuli for multi-class SSVEP-based brain–computer interface (BCI)

Chang-Hwan Im, Chang-Hee Han, Han-Jeong Hwang, 2013, Brain Research.

Electroencephalography-based endogenous brain–computer interface for online communication with a completely locked-in patient

Zoran Nenadic, Chang-Hwan Im, Chang-Hee Han, 2019, Journal of NeuroEngineering and Rehabilitation.

Clinical feasibility of brain-computer interface based on steady-state visual evoked potential in patients with locked-in syndrome: Case studies.

Chang-Hwan Im, Ho-Seung Cha, Han-Jeong Hwang, 2017, Psychophysiology.

Estimating Consumers' Subjective Preference Using Functional near Infrared Spectroscopy: A Feasibility Study

Chang-Hwan Im, Chang-Hee Han, Jeong-Youn Kim, 2016 .

Enhanced Performance of a Brain Switch by Simultaneous Use of EEG and NIRS Data for Asynchronous Brain-Computer Interface

Klaus-Robert Müller, Han-Jeong Hwang, Chang-Hee Han, 2020, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

Estimation of Emotional Arousal Changes of a Group of Individuals During Movie Screening Using Steady-State Visual-Evoked Potential

Chang-Hwan Im, Do-Won Kim, Seonghun Park, 2021, Frontiers in Neuroinformatics.

Classification of Functional Near-Infrared Spectrocopy Signals during Passive and Combinatory Exercises for Neurorehabilitation

Chang-Hwan Im, Chang-Hee Han, Han-Jeong Hwang, 2019, 2019 7th International Winter Conference on Brain-Computer Interface (BCI).

Single-Trial Classification and Evaluation of Hemodynamic Responses during Passive and Active Exercises for Neurorehabilitation

C. Im, Han-Jeong Hwang, Changhee Han, 2014 .

Hemodynamic responses in rat brain during transcranial direct current stimulation: a functional near-infrared spectroscopy study.

Chang-Hwan Im, Beop-Min Kim, Chang-Hee Han, 2014, Biomedical optics express.

Global Electroencephalography Synchronization as a New Indicator for Tracking Emotional Changes of a Group of Individuals during Video Watching

Chang-Hwan Im, Jeong-Hwan Lim, Chang-Hee Han, 2017, Front. Hum. Neurosci..

Data-Driven User Feedback: An Improved Neurofeedback Strategy considering the Interindividual Variability of EEG Features

Chang-Hwan Im, Chang-Hee Han, Kangsan Kim, 2016, BioMed research international.

Data-driven user feedback: An improved neurofeedback strategy considering individual variability of EEG features

Chang-Hwan Im, Chang-Hee Han, C. Im, 2014, The 18th IEEE International Symposium on Consumer Electronics (ISCE 2014).

A multi-day and multi-band dataset for a steady-state visual-evoked potential–based brain-computer interface

Young-Jin Jung, Han-Jeong Hwang, Ga-Young Choi, 2019, GigaScience.

An Artificial Neural-Network Approach for Motor Hotspot Identification Based on Electroencephalography: A Proof-of-Concept Study

Han-Jeong Hwang, N. Paik, Wonseok Kim, 2021, bioRxiv.

Development of an electrooculogram-based human-computer interface using involuntary eye movement by spatially rotating sound for communication of locked-in patients

C. Im, Do Yeon Kim, Changhee Han, 2018, Scientific Reports.

Design of Wearable EEG Devices Specialized for Passive Brain–Computer Interface Applications

Seonghun Park, Chang-Hwan Im, Chang-Hee Han, 2020, Sensors.

Development of a Brain–Computer Interface Toggle Switch with Low False-Positive Rate Using Respiration-Modulated Photoplethysmography

Chang-Hwan Im, Euijin Kim, Chang-Hee Han, 2020, Sensors.

Electroencephalography-based Motor Hotspot Detection

Jeonghun Ku, Han-Jeong Hwang, Won-Seok Kim, 2020, BIOSIGNALS.

Electroencephalography-based endogenous brain–computer interface for online communication with a completely locked-in patient

Z. Nenadic, Do Yeon Kim, Changhee Han, 2019, Journal of NeuroEngineering and Rehabilitation.