Offaxis neuromuscular training of knee injuries using an offaxis robotic elliptical trainer. - Song Joo Lee; Yupeng Ren; Francois Geiger; Alison H. Chang; Joel M. Press; Li-Qun Zhang (EMBC, 2011)

Development of an elliptical trainer with real-time knee adduction moment feedback. - Sang Hoon Kang; Song Joo Lee; Yupeng Ren; Li-Qun Zhang (ICORR, 2013)

A pivoting elliptical training system for prevention and rehabilitation of musculoskeletal injuries. - Yupeng Ren; Song Joo Lee; Hyung Soon Park; Li-Qun Zhang (ICORR, 2013)

Detecting voluntary gait initiation/termination intention using EEG. - Junhyuk Choi; Song Joo Lee; Seung-Jong Kim; Jong Min Lee; Hyungmin Kim 001 (BCI, 2018)

Steady-State Somatosensory Evoked Potential based Brain-Computer Interface for Sit-to-Stand Movement Intention. - Kabmun Cha; Jaehyung Lee; Hyungmin Kim 001; Choong Hyun Kim; Song Joo Lee (BCI, 2019)

Learning Patterns of Pivoting Neuromuscular Control Training-Toward a Learning Model for Therapy Scheduling. - Song Joo Lee; Li-Qun Zhang (IEEE Trans. Biomed. Eng., 2019)

Robust Semi-synchronous BCI Controller for Brain-Actuated Exoskeleton System. - Junhyuk Choi; Keun-Tae Kim; Jaehyung Lee; Song Joo Lee; Hyungmin Kim 001 (BCI, 2020)

Classification of Selective Attention based on Steady-State Somatosensory Evoked Potentials using High-Frequency Vibration Stimuli. - Keun-Tae Kim; Jaehyung Lee; Hyungmin Kim 001; Song Joo Lee (BCI, 2020)

Classification of Selective Attention Within Steady-State Somatosensory Evoked Potentials From Dry Electrodes Using Mutual Information-Based Spatio-Spectral Feature Selection. - Keun-Tae Kim; Jaehyung Lee; Hyungmin Kim 001; Choong Hyun Kim; Song Joo Lee (IEEE Access, 2020)

Stability of a robust interaction control for single-degree-of-freedom robots with unstructured environments. - Hyunah Kang; Song Joo Lee; Sang Hoon Kang (Intell. Serv. Robotics, 2020)

Developing a Motor Imagery-Based Real-Time Asynchronous Hybrid BCI Controller for a Lower-Limb Exoskeleton. - Junhyuk Choi; Keun-Tae Kim; Ji Hyeok Jeong; Laehyun Kim; Song Joo Lee; Hyungmin Kim 001 (Sensors, 2020)

Subject-Transfer Approach based on Convolutional Neural Network for the SSSEP-BCIs. - Keun-Tae Kim; Junhyuk Choi; Hyungmin Kim 001; Song Joo Lee (BCI, 2021)

CNN-based Subject-Transfer Approach for Training Minimized Lower-Limb MI-BCIs. - Ji Hyeok Jeong; Keun-Tae Kim; Song Joo Lee; Dong-Joo Kim; Hyungmin Kim 001 (BCI, 2022)

Subject-Transfer Decoding using the Convolutional Neural Network for Motor Imagery-based Brain-Computer Interface. - Ji Hyeok Jeong; Keun-Tae Kim; Dong-Joo Kim; Song Joo Lee; Hyungmin Kim 001 (EMBC, 2022)

Classification of Stroke Severity Using Clinically Relevant Symmetric Gait Features Based on Recursive Feature Elimination With Cross-Validation. - Joohwan Sung; Sungmin Han; Heesu Park; Soree Hwang; Song Joo Lee; Jong Woong Park; Inchan Youn (IEEE Access, 2022)

Subject-Transfer with Subject-Specific Fine-Tuning Based on Multi-Model CNN for Motor Imagery Brain-Computer Interface. - Ji Hyeok Jeong; Dong-Jin Sung; Keun-Tae Kim; Song Joo Lee; Dong-Joo Kim; Hyungmin Kim 001 (BCI, 2023)

Convolutional neural network approach for motor imagery and steady-state somatosensory evoked potential-based hybrid brain-computer interface using dry electrodes. - Keun-Tae Kim; Jaehyung Lee; Song Joo Lee (Biomed. Signal Process. Control., 2025)