Kim, K. T., Lee, J. & Lee, S. J. (2025). Convolutional neural network approach for motor imagery and steady-state somatosensory evoked potential-based hybrid brain-computer interface using dry electrodes. Biomedical Signal Processing and Control, 110, 108343.

Lee, S. J., Park, K. M., Kim, K. T., Seo, E. Y., Gemechu, D. T., & Kim, O. (2025). Developing a Multi-Directional Lower-Limb Training System toward Aging in Place Rehabilitation: A Preliminary Feasibility Study on Healthy Individuals. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 33, 975-983 (Early Access). 

Kim, K. T., Sung, D. J., Jeong, J. H., Kim, L., Lee, S. J., Kim, H. & Kim, S. J. (2024). Improving Inter-Session Performance via Relevant Session-Transfer for Multi-Session Motor Imagery Classification. Heliyon, 10(17), e37343.

Lee, S. J., Kang, H, Kim, K. T. & Kang, S. H. (2024). Developing a Device 1 for Simultaneously Investigating Pivoting Neuromuscular Control and Muscle Properties Toward a Multi-Axis Rehabilitation. PloS One, 19(7), e0304665.

Jung, Y., Yoon, S. J., Lee, Y., Do, T., Kim, K. T., Jung, K. W., & Choi, J. W. (2024). Grapefruit-Inspired Polymeric Capsule with Hierarchical Microstructure: Advanced Nanomaterial Carrier Platform for Energy Storage, Drug Delivery, Catalysis, and Environmental Applications. Small (Weinheim an der Bergstrasse, Germany), e2400828.

Lee, M., Park, H. Y., Park, W., Kim, K. T., Kim, Y. H., & Jeong, J. H. (2024). Multi-task Heterogeneous Ensemble Learning-based Cross-Subject EEG Classification under Stroke Patients. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 32, 1767-1778.

Kim, K. T., Gemechu, D. T., Seo, E., Lee, T., Park, J. W., Youn, I., J. W. Kang & Lee, S. J. (2023). Venous congestion affects neuromuscular changes in pigs in terms of muscle electrical activity and muscle stiffness. PloS One, 18(8), e0289266.

Kim, K. T., Kang, J. W., Park, J. W., & Lee, S. J. (2023). Classification of deep vein thrombosis stages using convolutional neural network of electromyogram with vibrotactile stimulation toward developing an early diagnostic tool: A preliminary study on a pig model. Plos One, 18(2), e0281219.

Kim, K. T., Choi, J., Jeong, J. H., Kim, H., & Lee, S. J. (2022). High-Frequency Vibrating Stimuli Using the Low-Cost Coin-Type Motors for SSSEP-Based BCI. BioMed Research International, 2022.

Kim, K. T., Park, S., Lim, T. H., & Lee, S. J. (2021). Upper-limb electromyogram classification of reaching-to-grasping tasks based on convolutional neural networks for control of a prosthetic hand. Frontiers in Neuroscience, 15, 733359.

Kang, J. W., Park, J. W., Lim, T. H., Kim, K. T., & Lee, S. J. (2021). Developing an in-vivo physiological porcine model of inducing acute atraumatic compartment syndrome towards a non-invasive diagnosis using shear wave elastography. Scientific reports, 11(1), 21891.

Jeong, J. H., Choi, J. H., Kim, K. T., Lee, S. J., Kim, D. J., & Kim, H. M. (2021). Multi-domain convolutional neural networks for lower-limb motor imagery using dry vs. wet electrodes. Sensors, 21(19), 6672.

Kim, S., Kim, K. T., Kim, O., Seo, E., & Lee, S. (2021). A research tool for biomechanics toward sensory-motor manipulation, Unity 3D. Journal of Biomechanical Science and Engineering, 16(2), 21-00068.

Kim, K. T., Lee, J., Kim, H., Kim, C. H., & Lee, S. J. (2020). Classification of selective attention within steady-state somatosensory evoked potentials from dry electrodes using mutual information-based spatio-spectral feature selection. IEEE Access, 8, 85464-85472.

Choi, J., Kim, K. T., Jeong, J. H., Kim, L., Lee, S. J., & Kim, H. (2020). Developing a motor imagery-based real-time asynchronous hybrid BCI controller for a lower-limb exoskeleton. Sensors, 20(24), 7309.

Kim, K. T., Guan, C., & Lee, S. W. (2019). A subject-transfer framework based on single-trial EMG analysis using convolutional neural networks. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 28(1), 94-103.

Kim, K. T., Suk, H. I., & Lee, S. W. (2016). Commanding a brain-controlled wheelchair using steady-state somatosensory evoked potentials. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 26(3), 654-665.

Kim, K. T. et al., “Deep Learning-Based Approach using EEG in Neurocognitive Disorder Assessment,” The 39th International Technical Conference on Circuits/Systems, Computers, and Communications, 2024.

Kim, K. T. et al., “Convolutional Neural Network Approach for Steady-State Somatosensory Evoked Potential-based Robotic Exoskeleton Control,” The 20th International Conference on Ubiquitous Robots, 2023.

Kim, K. T. et al., “Differentiating changes in movement-related EEG response induced by transcranial direct current stimulation using convolutional neural network, 45th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2023.

Kim, K. T. et al., “Subject-Transfer with Subject-Specific Fine-Tuning Based on Multi-Model CNN for Motor Imagery Brain-Computer Interface,” 11th International Winter Conference on Brain- Computer Interface, 2023.

Kim, K. T. et al., “Subject-Transfer Decoding using the Convolutional Neural Network for Motor Imagery-based Brain-Computer Interface,” 44th IEEE International Conference of Engineering in Medicine and Biology Society, 2022.

Kim, K. T. et al., “Developing a Force Generation Assessment Tool: Implication for Improving Leg Function among Individuals with Stroke,” 9th IEEE RAS/EMBS International Conference for Biomedical Robotics and Biomechatronics, 2022.

Kim, K. T. et al., “CNN-based Subject-Transfer Approach for Training Minimized Lower-Limb MI-BCIs,” 10th International Winter Conference on Brain-Computer Interface, 2022.

Kim, K. T. et al., “Subject-Transfer Approach based on Convolutional Neural Network for the SSSEP-BCIs,” 9th International Winter Conference on Brain- Computer Interface, 2021.

Kim, K. T. et al., “Muscle synergies in the direction guided force control tasks,” The 11th Asian-Pacific Conference on Biomechanics, 2021.

Kim, K. T. et al., “Classification of Selective Attention based on Steady-State Somatosensory Evoked Potentials using High-Frequency Vibration Stimuli ,” 8th International Winter Conference on Brain- Computer Interface, 2020.

Kim, K. T. et al., “Design of a Brain-Controlled Robot Arm System based on Upper-Limb Movement Imagery,” 6th IEEE International Winter Conference on Brain-Computer Interface, 2018.

Kim, K. T. et al., “An Adaptive Convolutional Neural Network Framework for Multi-User Myoelectric Interfaces,” The 4th Asian Conferences on Pattern Recognition, 2017.

Kim, K. T. et al., “Towards an EEG-based Intelligent Wheelchair Driving System with Vibro-tactile Stimuli,” IEEE International Conference on Systems, Man, and Cybernetics, 2016.

Kim, K. T. et al., “Analysis of Steady State Visual Evoked Potential based on Viewing Distance Changes for Brain-Machine Interface Speller,” IEEE International Conference on Systems, Man and Cybernetics, 2016.

Kim, K. T. et al., “OpenBMI: A Real-Time Data Analysis Toolbox for Brain-Machine Interfaces,” IEEE International Conference on Systems, Man and Cybernetics, 2016.

Kim, K. T. et al., “Movement Related Cortical Potential based on Multi-Class Motor Imagery,” 6th International Brain-Computer Interface Meeting, 2016.

Kim, K. T. et al., “Steady-State Visual Evoked Potential based Brain-Computer Interface with Viewing Distance Changes,” 4th IEEE International Winter Conference on Brain-Computer Interface, 2016.

Kim, K. T. et al., “Wheelchair Control based on Steady-State Somatosensory Evoked Potentials,” IEEE International Conference on Systems, Man, and Cybernetics, 2015.

Kim, K. T. et al., “Towards a Smart TV Control System based on Steady-State Visual Evoked Potential,” 3rd IEEE International Winter Conference on Brain-Computer Interface, 2015.

Kim, K. T. et al., “Classification of Left and Right Leg Movement Intentions using EEG Signals from Subjects using a Lower Body Exoskeleton ,” International Workshop on Wearable Robotics, 2014.

Kim, K. T. et al., “Steady-State Somatosensory Evoked Potentials for Brain-Controlled Wheelchair,” 2nd IEEE International Winter Workshop on Brain-Computer Interface, 2014.

Kim, K. T. et al., “Design of a Robotic Wheelchair with a Motor Imagery based Brain-Computer Interface,” IEEE International Winter Workshop on Brain-Computer Interface, 2013.

장정우, 박도근, 주영기, 김근태, 원동옥, “뇌 신호를 이용한 전두측두엽 치매 평가 방법 제시,” 한국인지과학회 학술대회, 2024.

김근태, 강종우, 이송주, “진동 기반의 근전도를 통한 심부정맥혈전증 단계 분류: 동물 모델을 통한 사전 연구,” 대한정밀공학회 춘계학술대회, 2023.

김근태, 이송주, “뇌-기계 인터페이스를 위한 합성곱 신경망 기반의 정상 상태 체성감각 유발 전위 분류,” 대한생체역학회 학술대회, 2022.

김근태, 이송주, “Reaching-to-Grasping 동작 분류를 위한 합성곱신경망 기반의 상지 근전도 인터페이스,” 대한생체역학회 학술대회, 2021.

두구마 테숌 게메추, 서은영, 올가김, 김근태, 이송주, “Effect of direction-guided tasks on lower limb force output and EMG,” 대한생체역학회 학술대회, 2021.

김근태, 박기희, 이성환, “사용자 적응적 Convolutional Neural Network를 이용한 근전도 기반의 손동작 추정,” 뇌와 인공지능 하계 Workshop, 2017.

김근태, 이성환, “안정 상태 체성감각 유발 전위 기반의 사용자 의도 인식을 통한 전동 휠체어 제어 시스템,” 뇌인지공학 심포지엄, 2015.

김근태, 이성환, “하지 외골격 로봇을 이용한 뇌전도 기반의 다리 움직임 의도 분류,” 한국컴퓨터종합학술대회, 2015.

김근태, 이성환, 전동 휠체어 제어를 위한 안정 상태 체성감각 유발 전위 기반의 뇌-컴퓨터 인터페이스,“ 한국컴퓨터종합학술대회, 2014.

Kim et al., BIOSIGNAL-BASED AVATAR CONTROL SYSTEM AND METHOD, US 11,609,632

Kim et al., BRAIN COMPUTER INTERFACE (BCI) APPARATUS AND METHOD OF GENERATING CONTROL SIGNAL BY BCI APPARATUS, US 10,980,466

이송주, 윤인찬, 박상수, 김근태, 이종환, 김동율, 박민지, 조성만, “자기 공명 영상 장치용 하지 운동 보조 장치 및 이를 포함하는 자기 공명 영상 시스템,” 10-2444127.

이송주, 김근태, 강종우, “심부정맥혈전증 진단 장치,” 10-2416165.

이송주, 김형민, 김래현, 김근태, 최준혁, “동작 상상에 따른 뇌파를 이용하는 로봇 제어 시스템 및 제어 방법,” 10-2386359.

이송주, 윤인찬, 김근태, 박상수, 임태현, “하지 운동 능력 평가 방법 및 시스템,” 10-2377952.

이송주, 김형민, 김래현, 김근태, “생체신호 기반 아바타 제어시스템 및 방법,” 10-2313622.

이성환, 정지훈, 김근태, “로봇팔 장치를 제어하기 위한 뇌-컴퓨터 인터페이싱 방법 및 그 뇌-컴퓨터 인터페이스 장치,” 10-1962276.

김근태, 박희진, 이성환, “거리 변화를 고려한 안정 상태 시각 유발 전위 기반 뇌파 분석 장치 및 방법,” 10-1720766.

김근태, 김일화, 이성환, “기기 인터페이스 제어 방법,” 10-1549325