Numerical emulator for walk-through metal detectors using 3-D indirect boundary integral equation method. - Chang-Hwan Im; Hyun-Kyo Jung (IEEE Trans. Instrum. Meas., 2005)

Dealing with mismatched fMRI activations in fMRI constrained EEG cortical source imaging: a simulation study assuming various mismatch types. - Chang-Hwan Im (Medical Biol. Eng. Comput., 2007)

Localization and propagation analysis of ictal source rhythm by electrocorticography. - June Sic Kim; Chang-Hwan Im; Young-Jin Jung; Eun Young Kim; Sang Kun Lee; Chun Kee Chung (NeuroImage, 2010)

Localization of ictal onset zones in Lennox-Gastaut syndrome using directed transfer function method. - Jae-Hyun Cho; Young-Jin Jung; Hoon-Chul Kang; Heung Dong Kim; Chang-Hwan Im (EMBC, 2011)

A vision-free brain-computer interface (BCI) paradigm based on auditory selective attention. - Do-Won Kim; Jae-Hyun Cho; Han-Jeong Hwang; Jeong-Hwan Lim; Chang-Hwan Im (EMBC, 2011)

An EEG-based real-time cortical functional connectivity imaging system. - Han-Jeong Hwang; Kyung-Hwan Kim; Young-Jin Jung; Do-Won Kim; Yong-Ho Lee; Chang-Hwan Im (Medical Biol. Eng. Comput., 2011)

A method for stable electrical connection of a multi-channeled polyimide electrode with PCB. - Dong-Hyun Baek; Ha-Chul Jung; Seon Min Kim; Chang-Hwan Im; James Jungho Pak; Sang-Hoon Lee (EMBC, 2012)

Applied Mathematics in Biomedical Sciences and Engineering. - Chang-Hwan Im; Kiwoon Kwon; Venky Krishnan; Pedro Serranho (J. Appl. Math., 2012)

Mathematical Issues in the Inference of Causal Interactions among Multichannel Neural Signals. - Young-Jin Jung; Kyung-Hwan Kim; Chang-Hwan Im (J. Appl. Math., 2012)

Modified pattern-reversal visual checkerboard stimuli with dual alternating frequencies for multi-class ssvep-based brain-computer interfaces. - Chang-Hee Han 004; Han-Jeong Hwang; Chang-Hwan Im (BCI, 2013)

Evaluation of feature extraction methods for motor imagery-based bcis in terms of robustness to slight changes of electrode locations. - Han-Jeong Hwang; Chang-Hwan Im; Sun-Ae Park (BCI, 2013)

Implementation of a mental spelling system based on steady-state visual evoked potential (SSVEP). - Han-Jeong Hwang; Jeong-Hwan Lim; Jun-Hak Lee; Chang-Hwan Im (BCI, 2013)

"Eyes-closed" SSVEP-based BCI for binary communication of individuals with impaired oculomotor function. - Jeong-Hwan Lim; Han-Jeong Hwang; Chang-Hwan Im (BCI, 2013)

Development of an "eyes-closed" brain-computer interface system for communication of patients with oculomotor impairment. - Changhee Han 004; Han-Jeong Hwang; Jeong-Hwan Lim; Chang-Hwan Im (EMBC, 2013)

Inconsistent outcomes of transcranial direct current stimulation (tDCS) may be originated from the anatomical differences among individuals: A simulation study using individual MRI data. - Jung-Hoon Kim; Do-Won Kim; Won Hyuk Chang; Yun-Hee Kim; Chang-Hwan Im (EMBC, 2013)

Source activation during facial emotion perception correlates with positive and negative symptoms scores of schizophrenia. - Do-Won Kim; Seung-Hwan Lee; Chang-Hwan Im (EMBC, 2013)

Development of a hybrid mental speller combining EEG-based brain-computer interface and webcam-based eye-tracking. - Jun-Hak Lee; Jeong-Hwan Lim; Han-Jeong Hwang; Chang-Hwan Im (EMBC, 2013)

Neuroelectromagnetic imaging of correlated sources using a novel subspace penalized sparse learning. - Jaejun Yoo 001; Jongmin Kim 002; Chang-Hwan Im; Jong Chul Ye (ISBI, 2013)

The influence of an educational course on language expression and treatment of gaming addiction for massive multiplayer online role-playing game (MMORPG) players. - Pyoung Won Kim; Seo Young Kim; Miseon Shim; Chang-Hwan Im; Young-Min Shon (Comput. Educ., 2013)

Computational Methods in Neuroengineering. - Chang-Hwan Im; Lei Ding 004; Yiwen Wang 002; Sung-Phil Kim (Comput. Math. Methods Medicine, 2013)

EEG-Based Brain-Computer Interfaces: A Thorough Literature Survey. - Han-Jeong Hwang; Soyoun Kim; Soobeom Choi; Chang-Hwan Im (Int. J. Hum. Comput. Interact., 2013)

Evaluation of feature extraction methods for EEG-based brain-computer interfaces in terms of robustness to slight changes in electrode locations. - Sun-Ae Park; Han-Jeong Hwang; Jeong-Hwan Lim; Jong-Ho Choi; Hyun-Kyo Jung; Chang-Hwan Im (Medical Biol. Eng. Comput., 2013)

Enhanced Template Matching Using Dynamic Positional Warping for Identification of Specific Patterns in Electroencephalogram. - Won-Du Chang; Chang-Hwan Im (J. Appl. Math., 2014)

Applied Mathematics in Biomedical Sciences and Engineering 2014. - Chang-Hwan Im; Kiwoon Kwon; Hang Joon Jo; Pedro Serranho (J. Appl. Math., 2014)

Neurocinematics based on passive BCI: Decoding temporal change of emotional arousal during video watching from multi-channel EEG. - Chang-Hwan Im; Jun-Hak Lee; Jeong-Hwan Lim (ASCC, 2015)

Development of a hybrid mental spelling system combining SSVEP-based brain-computer interface and webcam-based eye tracking. - Jeong-Hwan Lim; Jun-Hak Lee; Han-Jeong Hwang; Dong Hwan Kim; Chang-Hwan Im (Biomed. Signal Process. Control., 2015)

Automatic Identification of Interictal Epileptiform Discharges in Secondary Generalized Epilepsy. - Won-Du Chang; Ho-Seung Cha; Chany Lee; Hoon-Chul Kang; Chang-Hwan Im (Comput. Math. Methods Medicine, 2016)

Detection of eye blink artifacts from single prefrontal channel electroencephalogram. - Won-Du Chang; Ho-Seung Cha; Kiwoong Kim; Chang-Hwan Im (Comput. Methods Programs Biomed., 2016)

Removing the Interdependency between Horizontal and Vertical Eye-Movement Components in Electrooculograms. - Won-Du Chang; Ho-Seung Cha; Chang-Hwan Im (Sensors, 2016)

Fast and Robust Real-Time Estimation of Respiratory Rate from Photoplethysmography. - Hodam Kim; Jeong-Youn Kim; Chang-Hwan Im (Sensors, 2016)

EEG-based brain-computer interface for real-time communication of patients in completely locked-in state. - Chang-Hee Han 004; Chang-Hwan Im (BCI, 2018)

Prediction Method of Walking Speed at Swing Phase using Soleus Electromyogram Signal at Previous Stance Phase. - Taejin Choi; Chang-Hwan Im; Seung-Jong Kim; Hyungmin Kim 001; Jong Min Lee (EMBC, 2018)

Classification of Different Cognitive Load using Electroencephalogram(EEG): Preliminary Study. - Joo-Hee Kwon; Euijin Kim; Chang-Hwan Im; Do-Won Kim (SCIS&ISIS, 2018)

Ternary Near-Infrared Spectroscopy Brain-Computer Interface With Increased Information Transfer Rate Using Prefrontal Hemodynamic Changes During Mental Arithmetic, Breath-Holding, and Idle State. - Jaeyoung Shin; Jin Uk Kwon; Jongkwan Choi; Chang-Hwan Im (IEEE Access, 2018)

A Ternary Hybrid EEG-NIRS Brain-Computer Interface for the Classification of Brain Activation Patterns during Mental Arithmetic, Motor Imagery, and Idle State. - Jaeyoung Shin; Jin Uk Kwon; Chang-Hwan Im (Frontiers Neuroinformatics, 2018)

Performance Prediction for a Near-Infrared Spectroscopy-Brain-Computer Interface Using Resting-State Functional Connectivity of the Prefrontal Cortex. - Jaeyoung Shin; Chang-Hwan Im (Int. J. Neural Syst., 2018)

On the Feasibility of Using an Ear-EEG to Develop an Endogenous Brain-Computer Interface. - Soo-In Choi; Changhee Han 004; Ga-Young Choi; Jaeyoung Shin; Kwang Soup Song; Chang-Hwan Im; Han-Jeong Hwang (Sensors, 2018)

Detection of Craving for Gaming in Adolescents with Internet Gaming Disorder Using Multimodal Biosignals. - Hodam Kim; Jihyeon Ha; Won-Du Chang; Wanjoo Park; Laehyun Kim; Chang-Hwan Im (Sensors, 2018)

New Method for Pure-Tone Audiometry Using Electrooculogram: A Proof-of-Concept Study. - Do Yeon Kim; Jinuk Kwon; Joo-Young Kim 005; Ho-Seung Cha; Yong-Wook Kim; In Young Kim; Chang-Hwan Im (Sensors, 2018)

Classification of Functional Near-Infrared Spectrocopy Signals during Passive and Combinatory Exercises for Neurorehabilitation. - Changhee Han 004; Jinuk Kwon; Han-Jeong Hwang; Chang-Hwan Im (BCI, 2019)

Development of an Online Home Appliance Control System Using Augmented Reality and an SSVEP-Based Brain-Computer Interface. - Seonghun Park; Ho-Seung Cha; Chang-Hwan Im (IEEE Access, 2019)

Comparison of magnetic field distributions generated by various permanent magnets for transcranial static magnetic stimulation: A simulation study. - Jimin Park; Chany Lee; Sangjun Lee; Chang-Hwan Im (Comput. Biol. Medicine, 2019)

Comparison of Visual Stimuli for Steady-State Visual Evoked Potential-Based Brain-Computer Interfaces in Virtual Reality Environment in terms of Classification Accuracy and Visual Comfort. - Kang-min Choi; Seonghun Park; Chang-Hwan Im (Comput. Intell. Neurosci., 2019)

Latent awareness: Early conscious access to motor preparation processes is linked to the readiness potential. - Elisabeth Parés-Pujolràs; Yong-Wook Kim; Chang-Hwan Im; Patrick Haggard (NeuroImage, 2019)

Machine-Learning-Based Detection of Craving for Gaming Using Multimodal Physiological Signals: Validation of Test-Retest Reliability for Practical Use. - Hodam Kim; Laehyun Kim; Chang-Hwan Im (Sensors, 2019)

Development of an Online Home Appliance Control System Using Augmented Reality and an SSVEP-Based Brain-Computer Interface. - Seonghun Park; Ho-Seung Cha; Jinuk Kwon; Hodam Kim; Chang-Hwan Im (BCI, 2020)

Real-Time Recognition of Facial Expressions Using Facial Electromyograms Recorded Around the Eyes for Social Virtual Reality Applications. - Ho-Seung Cha; Seong-Jun Choi; Chang-Hwan Im (IEEE Access, 2020)

Prediction of Individual User's Dynamic Ranges of EEG Features from Resting-State EEG Data for Evaluating Their Suitability for Passive Brain-Computer Interface Applications. - Ho-Seung Cha; Changhee Han 004; Chang-Hwan Im (Sensors, 2020)

Development of a Brain-Computer Interface Toggle Switch with Low False-Positive Rate Using Respiration-Modulated Photoplethysmography. - Changhee Han 004; Euijin Kim; Chang-Hwan Im (Sensors, 2020)

Design of Wearable EEG Devices Specialized for Passive Brain-Computer Interface Applications. - Seonghun Park; Changhee Han 004; Chang-Hwan Im (Sensors, 2020)

Development of an Online Home Appliance Control System for the Elderly Based on SSVEP-Based Brain-Computer Interface: A Feasibility Study. - Seonghun Park; Jisoo Ha; Ho-Seung Cha; Kyeong-Gu Lee; Chang-Hwan Im (BCI, 2021)

Influence of the Number of Channels and Classification Algorithm on the Performance Robustness to Electrode Shift in Steady-State Visual Evoked Potential-Based Brain-Computer Interfaces. - Hodam Kim; Chang-Hwan Im (Frontiers Neuroinformatics, 2021)

Estimation of Emotional Arousal Changes of a Group of Individuals During Movie Screening Using Steady-State Visual-Evoked Potential. - Seonghun Park; Do-Won Kim; Changhee Han 004; Chang-Hwan Im (Frontiers Neuroinformatics, 2021)

A Hybrid Brain-Computer Interface for Real-Life Meal-Assist Robot Control. - Jihyeon Ha; Sangin Park; Chang-Hwan Im; Laehyun Kim (Sensors, 2021)

Development of an In-Car Environment Control System Using an SSVEP-based BCI with Visual Stimuli Presented on a Head-Up Display. - Seonghun Park; Min-Su Kim; Hyerin Nam; Chang-Hwan Im (BCI, 2022)

Multipair transcranial temporal interference stimulation for improved focalized stimulation of deep brain regions: A simulation study. - Sangjun Lee; Jimin Park; Da Som Choi; Chany Lee; Chang-Hwan Im (Comput. Biol. Medicine, 2022)

Classification of Individual's discrete emotions reflected in facial microexpressions using electroencephalogram and facial electromyogram. - Hodam Kim; Dan Zhang 014; Laehyun Kim; Chang-Hwan Im (Expert Syst. Appl., 2022)

Novel Signal-to-Signal translation method based on StarGAN to generate artificial EEG for SSVEP-based brain-computer interfaces. - Jinuk Kwon; Chang-Hwan Im (Expert Syst. Appl., 2022)

Novel Hybrid Brain-Computer Interface for Virtual Reality Applications Using Steady-State Visual-Evoked Potential-Based Brain-Computer Interface and Electrooculogram-Based Eye Tracking for Increased Information Transfer Rate. - Jisoo Ha; Seonghun Park; Chang-Hwan Im (Frontiers Neuroinformatics, 2022)

Novel hybrid visual stimuli incorporating periodic motions into conventional flickering or pattern-reversal visual stimuli for steady-state visual evoked potential-based brain-computer interfaces. - Jinuk Kwon; Jihun Hwang; Hyerin Nam; Chang-Hwan Im (Frontiers Neuroinformatics, 2022)

Enhanced Performance by Interpretable Low-Frequency Electroencephalogram Oscillations in the Machine Learning-Based Diagnosis of Post-traumatic Stress Disorder. - Miseon Shim; Chang-Hwan Im; Seung-Hwan Lee; Han-Jeong Hwang (Frontiers Neuroinformatics, 2022)

Modulation of Driver's Emotional States by Manipulating In-Vehicle Environment: Validation With Biosignals Recorded in An Actual Car Environment. - Hodam Kim; Suhye Kim; Hongmin Kim; Youngsoo Ji; Chang-Hwan Im (IEEE Trans. Affect. Comput., 2022)

Feasibility of Using Electrooculography-Based Eye-Trackers for Neuromarketing Applications. - Jisoo Ha; Kang-min Choi; Chang-Hwan Im (IEEE Trans. Instrum. Meas., 2022)

Deep-learning-based real-time silent speech recognition using facial electromyogram recorded around eyes for hands-free interfacing in a virtual reality environment. - Ho-Seung Cha; Won-Du Chang; Chang-Hwan Im (Virtual Real., 2022)

Performance enhancement of facial electromyogram-based facial-expression recognition for social virtual reality applications using linear discriminant analysis adaptation. - Ho-Seung Cha; Chang-Hwan Im (Virtual Real., 2022)

S2S-StarGAN: Signal-to-Signal Translation Method based on StarGAN to Generate Artificial EEG for SSVEP-based Brain-Computer Interfaces. - Jinuk Kwon; Jihun Hwang; Chang-Hwan Im (BCI, 2023)

Development of a Computer-Aided Education System Inspired by Face-to-Face Learning by Incorporating EEG-Based Neurofeedback Into Online Video Lectures. - Hodam Kim; Younsoo Chae; Suhye Kim; Chang-Hwan Im (IEEE Trans. Learn. Technol., 2023)

Novel three-axis accelerometer-based silent speech interface using deep neural network. - Jinuk Kwon; Hyerin Nam; Younsoo Chae; Seungjae Lee 005; In Young Kim; Chang-Hwan Im (Eng. Appl. Artif. Intell., 2023)

Facial Motion Capture System Based on Facial Electromyogram and Electrooculogram for Immersive Social Virtual Reality Applications. - Chunghwan Kim; Ho-Seung Cha; Junghwan Kim; HwyKuen Kwak; WooJin Lee; Chang-Hwan Im (Sensors, 2023)

Improvement of robustness against electrode shift for facial electromyogram-based facial expression recognition using domain adaptation in VR-based metaverse applications. - Ho-Seung Cha; Chang-Hwan Im (Virtual Real., 2023)

HiRENet: Novel convolutional neural network architecture using Hilbert-transformed and raw electroencephalogram (EEG) for subject-independent emotion classification. - Minsu Kim; Chang-Hwan Im (Comput. Biol. Medicine, 2024)

Speech synthesis from three-axis accelerometer signals using conformer-based deep neural network. - Jinuk Kwon; Jihun Hwang; Jee Eun Sung; Chang-Hwan Im (Comput. Biol. Medicine, 2024)

Characteristic Behaviors of Elementary Students in a Low Attention State During Online Learning Identified Using Electroencephalography. - Suhye Kim; Jung-Hwan Kim; Wooseok Hyung; Suhkyung Shin; Myoung Jin Choi; Dong Hwan Kim; Chang-Hwan Im (IEEE Trans. Learn. Technol., 2024)

Determination of optimal injection current pattern for multichannel transcranial electrical stimulation without individual MRI using multiple head models. - Sangjun Lee; Jimin Park; Chany Lee; Jeongyeol Ahn; Juhyoung Ryu; Sang-Hun Lee; Chang-Hwan Im (Comput. Methods Programs Biomed., 2024)

In-Car Environment Control Using an SSVEP-Based Brain-Computer Interface with Visual Stimuli Presented on Head-Up Display: Performance Comparison with a Button-Press Interface. - Seonghun Park; Minsu Kim; Hyerin Nam; Jinuk Kwon; Chang-Hwan Im (Sensors, 2024)

HiRENet: Novel Convolutional Neural Network Architecture Using Hilbert-Transformed and Raw Electroencephalogram for Subject-Independent Emotion Classification. - Minsu Kim; Chang-Hwan Im (BCI, 2025)

Performance enhancement of steady-state visual evoked field-based brain-computer interfaces using spatial distribution of synchronization index in MEG channel space. - Ye-Sung Kim; Cheong-Un Kim; Hyojeong Han; Min-Young Kim; Soo-In Choi; Chang-Hwan Im (NeuroImage, 2025)