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의료인공지능 연구실
Biomedical Artificial Intelligence (BAI) Laboratory
Korea University Sejong
Peer-Reviewed International Journal Papers (SCI/SCIE-Indexed Journals)
*: Corresponding Author
No | Authors | Title | Journal | Volume | Date | Note |
---|---|---|---|---|---|---|
30 | Chang-Hee Han, Seounghun Park | Development of an Individualization Process Considering Test-Retest Reliability of EEG Attention Features | - | - | - | Preparation |
29 | Seung-Pil Shin, Eun-Seo Park, and Chang-Hee Han* | Evaluation of Motor and Cognitive Rehabilitation Effects of Extended Reality-Based Hippotherapy: An EEG Study | - | - | - | Preparation |
28 | Eun-Seo Park, Xianghong Liu, 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 |
27 | 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 | - | - | - | Preparation |
26 | Soo-In Choi, Ji-Seung Kim, Ki Moo Lim, Chang-Hee Han*, and Han-Jeong Hwang | Decoding Cognitive States based on Deep Convolutional Neural Networks with Ear-EEG | - | - | - | Preparation |
25 | Chang-Hee Han, Seong-Uk Kim, Kyung-Soo Lim, Young-Jin Jung, Sangho Lee, Sung Hoon Kim, and Han-Jeong Hwang | Evaluation of a Silicone-Based Flexible Dry Electrode for Measuring Human Bioelectrical Signals | Biomedical Engineering Letters | - | 05/04/2025 | IF 3.2 / Q2 |
24 | Hyung-Tak Lee, Miseon Shim, Xianghong Liu, Hye-Ran Cheon, Sang-Gyu Kim, Chang-Hee Han* and Han-Jeong Hwang | A Review of Hybrid EEG-Based Multimodal Human–Computer Interfaces Using Deep Learning: Applications, Advances, and Challenges | Biomedical Engineering Letters | - | 22/03/2025 | IF 3.2 / Q2 |
23 | 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 | 192 | 15/04/2022 | IF 7.5 / Top 5.2% |
22 | 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 | 18(176) | 20/12/2021 | IF 5.2 / Top 2.1% |
21 | 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 | 15(731236) | 02/09/2021 | IF 2.5 / Q2 |
20 | 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 | 28(10) | 17/08/2020 | IF 4.8 / Top 2.6% |
19 | Seonghun Park, Chang-Hee Han, and Chang-Hwan Im | Design of Wearable EEG Devices Specialized for Passive Brain-Computer Interface Applications | Sensors | 20(16) | 14/08/2020 | IF 3.4 / Q2 |
18 | Chang-Hee Han, Klaus-Robert Müller, and Han-Jeong Hwang | Brain-Switches for Asynchronous Brain-Computer Interfaces: A Systematic Review | Electronics | 9(3) | 02/03/2020 | IF 2.6 / Q2 |
17 | 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 | 20(4) | 12/02/2020 | IF 3.4 / Q2 |
16 | 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 | 20(2) | 08/01/2020 | IF 3.4 / Q2 |
15 | 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 | 8(11) | 25/11/2019 | IF 11.8 / Top 7.1% |
14 | 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 | 16(18) | 30/01/2019 | IF 5.2 / Top 2.1% |
13 | 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 | 18(9) | 29/08/2018 | IF 3.4 / Q2 |
12 | 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 | 8(9505) | 22/06/2018 | IF 3.8 / Q2 |
11 | 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 | 15(27) | 23/03/2018 | IF 5.2 / Top 2.1% |
10 | 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 | 11(577) | 01/12/2017 | IF 2.4 / Q2 |
09 | 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 | 54, 1632-1643 | 11/07/2017 | IF 2.9 / Top 19.7% |
08 | 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 | 54, 444-451 | 03/12/2016 | IF 2.9 / Top 19.7% |
07 | 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 | 2016(3939815) | 18/08/2016 | IF 2.6 / Q3 |
06 | 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 | 24, 433-441 | 06/08/2016 | IF 1.6 / Q3 |
05 | 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 | 5(6), 1812-1821 | 13/05/2014 | IF 2.9 / Q2 |
04 | 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 | 49(22), 1374-1376 | 24/08/2013 | IF 0.7 / Q4 |
03 | 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 | 1515, 66-77 | 13/04/2013 | IF 2.7 / Q3 |
02 | 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 | 10(026021) | 26/03/2013 | IF 3.7 / Q2 |
01 | 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 | 22(115017) | 26/09/2012 | IF 2.4 / Q2 |
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