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           Peer-Reviewed International Journal Papers (SCI/SCIE-Indexed Journals)

                                                                      - 2024 -

 
[S29Chang-Hee Han, Seonghun Park, and Chang-Hwan Im, “Development of an Individualization Process Considering Test-Retest Reliability of EEG Attention Features,” preparation
 
[S28Chang-Hee Han, Eujin Kim, and Chang-Hwan Im, “A Survey of Patients with Amyotrophic Lateral Sclerosis for Development of Human-Computer Interface Systems," preparation

[S27Eun-Seo Park and Chang-Hee Han, “Classification of Abnormal Gait in Patients with Parkinson's Disease Based on a Deep Convolutional Neural Network with Fewer Pressure Sensors in Smart Insole," preparation

[S26
Chang-Hee Han, Soo-In Park, Ki Moo Lim, and Han-Jeong Hwang, “Decoding Cognitive States based on Deep Convolutional Neural Networks with Ear-EEG," preparation

[S25] Chang-Hee Han, Eujin Kim, and Chang-Hwan Im, “Development of an HCI/BCI-Based Environmental Control System for Patients in the Locked-in State," Journal of NeuroEngineering and RehabilitationPreparation

[S24]. Chang-Hee Han, Seong-Uk Kim, Kyung-Soo Lim, and Han-Jeong Hwang, “Evaluation of a Silicone-Based Flexible Dry Electrode for Measuring Human Bioelectrical Signals", Biomedical Engineering Letters, in Submission

                                                                      - 2022 -

[S23]. Chang-Hee Han, Ga-Young Choi, and Han-Jeong Hwang, “Deep Convolutional Neural Network Based Classification of Eye States Using Ear-EEG,” Expert Systems with Applications (IF = 8.665), vol. 192, 15th April 2022.  (Top 10% in Engineering, Electrical & Electronics) [LINK]

                                                                      - 2021 -

[S22]. Ga-Young Choi, Chang-Hee Han, Hyung-Tak Lee, Nam-Jong Paik, Won-Seok Kim, and Han-Jeong Hwang, “An Artificial Neural-Network Approach for Motor Hotspot Identification Based on Electroencephalography: A Proof-of-Concept Study,” Journal of NeuroEngineering and Rehabilitation (IF = 4.262), vol. 18(176), 20th December 2021. (Top 10% in Rehabilitation) [LINK]

[S21]. Seonghun Park, Do-Won Kim, Chang-Hee Han, and Chang-Hwan Im, “Estimation of Emotional Arousal Changes of a Group of Individuals during Movie Screening Using Steady-State Visual-Evoked Potential,” Frontiers in Neuroinformatics (IF = 4.081), vol. 15, Art.No. 731236, 2nd September 2021. [LINK]

 
                                                                      - 2020 -

[S20]. Chang-Hee Han, Klaus-Robert Müller, and Han-Jeong Hwang, “Enhanced Performance of a Brain Switch by Simultaneous Use of EEG and NIRS Data for Asynchronous Brain-Computer Interface,” IEEE Transactions on Neural Systems and Rehabilitation Engineering (IF = 3.802), 17th August 2020. (Top 10% in Rehabilitation) [LINK]

[S19]. Seonghun Park, Chang-Hee Han, and Chang-Hwan Im, “Design of Wearable EEG Devices Specialized for Passive Brain-Computer Interface Applications,” Sensors (IF = 3.576), vol. 20(16), Art.No. 4572, 14th August 2020. [LINK] 

[S18]. Chang-Hee Han, Klaus-Robert Müller, and Han-Jeong Hwang, “Brain-Switches for Asynchronous Brain-Computer Interfaces: A Systematic Review,” Electronics (IF = 2.397), vol. 9(3), Art.No. 422, 2nd March 2020. [LINK]

[S17]. Ho-Seung Cha, Chang-Hee Han, and Chang-Hwan Im, “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,” Sensors (IF = 3.576), vol. 20(4), Art.No. 988, 12th February 2020. [LINK] 

[S16]. Chang-Hee Han, Eujin Kim, and Chang-Hwan Im, “Development of a Brain-Computer Interface Toggle Switch with Low False-Positive Rate Using Respiration-Modulated Photoplethysmography,” Sensors (IF = 3.576), vol. 20(2), Art.No. 348, 8th January 2020. [LINK]

                                                                      - 2019 -

[S15]. Ga-Young Choi, Chang-Hee Han, Young-Jin Jung, and Han-Jeong Hwang, “A Multi-Day and Multi-Band Dataset for a Steady-State Visual-Evoked Potential–Based Brain-Computer Interface,” GigaScience (IF = 6.524), vol. 8(11), pp. 1-11, 25th November 2019. [LINK]

[S14]. Chang-Hee Han, Yong-Wook Kim, Do Yeon Kim, Seung Hyun Kim, Zoran Nenadic, and Chang-Hwan Im, “Electroencephalography-Based Endogenous Brain–Computer Interface for Online Communication with a Completely Locked-in Patient,” Journal of NeuroEngineering and Rehabilitation (IF = 4.262), vol. 16, Art.No. 18, 30th January 2019. (Top 7% in Rehabilitation) [LINK]

                                                                      - 2018 -

[S13], Soo-In Choi, Chang-Hee Han, Ga-Young Choi, Jaeyoung Shin, Kwang Soup Song, Chang-Hwan Im, and Han-Jeong Hwang, “On the Feasibility of Using an Ear-EEG to Develop an Endogenous Brain-Computer Interface”, Sensors (IF = 3.576), vol. 18(9), Art.No. 2856, 29th August 2018. [LINK]

[S12], Do Yeon Kim, Chang-Hee Han, and Chang-Hwan Im, “Development of an Electrooculogram-Based Human Computer Interface Using Involuntary Eye Movement by Spatially Rotating Sound for Communication of Locked-in Patients”, Scientific Reports (IF = 4.379), vol. 8, Art.No. 9505, 22nd June 2018. [PDF]

[S11]. Chang-Hee Han, Han-Jeong Hwang, Jeong-Hwan Lim, and Chang-Hwan Im, "Assessment of User Voluntary Engagement during Neurorehabilitation Using Functional Near-Infrared Spectroscopy: A Preliminary Study", Journal of NeuroEngineering and Rehabilitation (IF = 4.262), vol. 15, Art.No. 27, 23rd March 2018. (Top 7% in Rehabilitation) [PDF]

                                                                      - 2017 -

[S10]. Chang-Hee Han, Jun-Hak Lee, Jeong-Hwan Lim, Yong-Wook Kim, and Chang-Hwan Im, "Global Electroencephalography Synchronization as a New Indicator for Tracking Emotional Changes of a Group of Individuals during Video Watching", Frontiers in Human Neuroscience (IF = 3.169), vol. 11, Art.No. 577, 1st December 2017. [LINK]

[S9]. Jeong-Hwan Lim, Yong-Wook Kim, Jun-Hak Lee, Kwang-Ok An, Ho-Seung Cha, Chang-Hee Han, and Chang-Hwan Im, "An Emergency Call System for Patients in Locked-in State Using an SSVEP-Based Brain Switch", Psychophysiology (IF = 4.016), vol. 54, pp. 1632-1643, 11th July 2017. [PDF]

                                                                      - 2016 -

[S8]. Han-Jeong Hwang, Chang-Hee Han, Jeong-Hwan Lim, Yong-Wook Kim, Soo-In Choi, Kwang-Ok An, Jun-Hak Lee, Ho-Seung Cha, Seung Hyun Kim, and Chang-Hwan Im, "Clinical Feasibility of Brain-Computer Interface Based on Steady-State Visual Evoked Potential in Patients with Locked-in Syndrome: Case Studies", Psychophysiology (IF = 4.016), vol. 54, pp. 444-451, 3rd December 2016. [PDF]

[S7]. Chang-Hee Han, Jung-Hwan Lim, Jun-Hak Lee, Kangsan Kim, and Chang-Hwan Im, "Data-Driven User Feedback: An Improved Neurofeedback Strategy Considering the Inter-Individual Variability of EEG Features", BioMed Research International (IF = 3.411), vol. 2016, Art.No. 3939815, 18th Aug 2016. [LINK]

[S6]. Jeong-Youn Kim, Kun-Il Kim, Chang-Hee Han, Jeong-Hwan Lim, and Chang-Hwan Im, "Estimating Consumer’s Subjective Preference Using Functional Near-Infrared Spectroscopy: A Feasibility Study" Journal of Near Infrared Spectroscopy (IF = 1.372), vol. 24, pp. 433-441, February 2016. [LINK]

                                                                      - 2014 -

[S5]. Chang-Hee Han, Hyuna Song, Yong-Guk Kang, Beop-Min Kim, and Chang-Hwan Im, "Hemodynamic Responses in Rat Brain during Transcranial Direct Current Stimulation: a Functional Near-Infrared Spectroscopy Study" Biomedical Optics Express (IF = 3.732), vol. 5(6), pp. 1812-1821, May 2014. [PDF]

                                                                      - 2013 -

[S4]. Chang-Hee Han, Han-Jeong Hwang, and Chang-Hwan Im, "Classification of Visual Stimuli with Different Spatial Patterns for Single Frequency, Multi-Class SSVEP BCI: A Preliminary Study" Electronics Letters (IF = 1.314), vol. 49(22), pp. 1374-1376, October 2013. [LINK]

[S3]. Han-Jeong Hwang, Dong Hwan Kim, Chang-Hee Han, and Chang-Hwan Im, "A New Dual-Frequency Stimulation Method to Increase the Number of Visual Stimuli for Multi-Class SSVEP-Based Brain-Computer Interface (BCI)" Brain Research (IF = 3.252), vol. 1515, pp. 66-77, June 2013. [PDF]

[S2]. Jeong-Hwan Lim, Han-Jeong Hwang, Chang-Hee Han, and Chang-Hwan Im, "Classification of Binary Intentions for Individuals with Impaired Oculomotor Function: “Eyes-closed” SSVEP-Based Brain-Computer Interface (BCI)" Journal of Neural Engineering (IF = 5.379), vol. 10, Art.No. 026021, March 2013. [LINK]

                                                                      - 2012 -

[S1]. Dong-Hyun Baek, Chang-Hee Han, Ha-Chul Jung, Seon Min Kim, Chang-Hwan Im, Hyun-Jik Oh, James Jungho Pak, and Sang-Hoon Lee, "Soldering-Based Easy Packaging of Thin Polyimide Multichannel Electrodes for Neuro Signal Recording," Journal of Micromechanics and Microengineering (IF = 1.881), vol. 22, Art.No. 115017, September 2012. [PDF]


                                       International Conference Proceeding Papers

[C19]. Ga-Young Choi, Chang-Hee Han, Hyunmi Lim, Jeonghun Ku, Won-Seok Kim, and Han-Jeong Hwang, “Electroencephalography-based Motor Hotspot Detection”, The 13th International Conference on Bio-inspired Systems and Signal Processing, February 24-26, 2020

[C18]. Chang-Hee Han and Han-Jeong Hwang, “Onset Detection of a Hybrid EEG-NIRS Brain-Computer Interface”, The 41th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, July 23-27, 2019

[C17]. Chang-Hee Han, Jinuk Kwon, Han-Jeong Hwang, and Chang-Hwan Im, “Classification of Functional Near-Infrared Spectroscopy Signals during Passive and Combinatory Exercises for Neurorehabilitation”, The 7th International Winter Conference on Brain-Computer Interface (BCI), February 18-20, 2019

[C16]. Chang-Hee Han, and Chang-Hwan Im, “EEG-based Brain-Computer Interface for Real-Time Communication of Patients in Completely Locked-in State”, The 6th International Conference on Brain-Computer Interface, January 11-15, 2018

[C15]. Chang-Hee Han, Yong-Wook Kim, Do Yeon Kim, and Chang-Hwan Im, “EEG-Based Brain-Computer Interface for Real-Time Binary Communication of Patients in Completely Locked-in State”, The 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, July 11-15, 2017

[C14]. Do-Yeon Kim, Chang-Hee Han, and Chang-Hwan Im, “A Novel EOG-Based Binary Communication Paradigm using Sound Rotation for Patients with Locked-in Syndrome”, The 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, August 25-29, 2016

[C13]. Seonghun Park, Do-Won Kim, Chang-Hee Han, and Chang-Hwan Im, “A method for estimating emotional arousal changes of a group of individuals during movie screening using SSVEP”, The 6th International Brain-Computer Interface Meeting, May 30 - June 3, 2016

[C12]. Chang-Hee Han, Jun-Hak Lee, Jeong-Hwan Lim, and Chang-Hwan Im, “Extracting Emotional Highlights from Video Clips by Tracking Global Electroencephalography Synchronization”, The 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, August 25-29, 2016

[C11]. Chang-Hee Han, Jeong-Hwan Lim, Jun-Hak Lee and Chang-Hwan Im, “Individualization Strategy for EEG-based Passive Brain-Computer Interfaces Considering Test-retest Reliability of EEG Features”, International Biomedical Engineering Conference 2015, November 12-14, 2015

[C10]. Jeong-Hwan Lim, Yong-Wook Kim, Chang-Hee Han, Ho-Seung Cha, and Chang-Hwan Im, “An Emergency Call System for Patients with Severe ALS Using Less-Stimulating SSVEP-Based Brain Switch”, The 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, August 25-29, 2015

[C9]. Yong-Wook Kim, Jeong-Hwan Lim, Chang-Hee Han, and Chang-Hwan Im, “Towards BCI-controlled augmented reality: integration of computer vision with BCI for hands-free communication and control”, The 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, August 25-29, 2015

[C8]. Chang-Hee Han, Han-Jeong Hwang, Jeong-Hwan Lim, and Chang-Hwan Im, “Assessment of Users’ Cognitive Engagement during Passive and Active Exercises for Neurorehabilitation Using NIRS”, The 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, August 25-29, 2015

[C7]. Jeong-Youn Kim, Chang-Hee Han, Jeong-Hwan Lim, and Chang-Hwan Im, “Estimation of Consumer's Subjective Preference Using fNIRS”, International Biomedical Engineering Conference 2014, November 20-22, 2014

[C6]. Jun-Hak Lee, Jeong-Hwan Lim, Chang-Hee Han, Yong-Wook Kim, and Chang-Hwan Im, “Global EEG synchronization as an indicator of emotional arousal and its application for tracking emotional changes during video watching”, The 6th International Brain-Computer Interface Conference, September 16-19, 2014 (oral presentation)

[C5]. Chang-Hee Han, Han-Jeong Hwang, Jeong-Hwan Lim, and Chang-Hwan Im, “Single-Trial Classification and Evaluation of Hemodynamic Responses during Passive and Active Exercises for Neurorehabilitation”, The 6th International Brain-Computer Interface Conference, September 16-19, 2014 (oral presentation)

[C4]. Chang-Hee Han and Chang-Hwan Im, "Development of an Data-Driven User Feedback: An Improved Neurofeedback Strategy Considering Individual Variability of EEG Features" The 18th International Symposium on Consumer Electronics, June 22-25, 2014

[C3]. Jeong-Youn Kim, Chang-Hee Han, Jeong-Hwan Lim, and Chang-Hwan Im, “Estimation of consumer’s subjective preference from NIRS signals: a preliminary investigation”, Organization of Human Brain Mapping, June 08-12, 2014

[C2]. Chang-Hee Han, Han-Jeong Hwang, Jeong-Hwan Lim, and Chang-Hwan Im, “Development of an “Eyes-closed” Brain-Computer Interface System for Communication of Patients with Oculomotor Impairment”, The 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, July 03-07, 2013

[C1]. Chang-Hee Han, Han-Jeong Hwang, and Chang-Hwan Im, “Modified Pattern-Reversal Visual Checkerboard stimuli with Dual Alternating Frequencies for Multi-Class SSVEP-based Brain-Computer Interfaces”, 2013 IEEE International Winter Workshop on Brain-Computer Interface, February 18-20, 2013

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