| Sparse representation-based classification scheme for motor imagery-based brain–computer interface systems Y Shin, S Lee, J Lee, HN Lee Journal of neural engineering 9 (5), 056002, 2012 | 103 | 2012 |
| Review of wireless brain-computer interface systems S Lee, Y Shin, S Woo, K Kim, HN Lee Brain-computer interface systems-recent progress and future prospects, 215-238, 2013 | 78 | 2013 |
| Noise robustness analysis of sparse representation based classification method for non-stationary EEG signal classification Y Shin, S Lee, M Ahn, H Cho, SC Jun, HN Lee Biomedical Signal Processing and Control 21, 8-18, 2015 | 75 | 2015 |
| Dry electrode-based fully isolated EEG/fNIRS hybrid brain-monitoring system S Lee, Y Shin, A Kumar, M Kim, HN Lee IEEE Transactions on Biomedical Engineering 66 (4), 1055-1068, 2018 | 40 | 2018 |
| Simple adaptive sparse representation based classification schemes for EEG based brain–computer interface applications Y Shin, S Lee, M Ahn, H Cho, SC Jun, HN Lee Computers in biology and medicine 66, 29-38, 2015 | 40 | 2015 |
| Two-wired active spring-loaded dry electrodes for EEG measurements S Lee, Y Shin, A Kumar, K Kim, HN Lee Sensors 19 (20), 4572, 2019 | 21 | 2019 |
| Hilbert transform design based on fractional derivatives and swarm optimization A Kumar, N Agrawal, I Sharma, S Lee, HN Lee IEEE Transactions on Cybernetics 50 (5), 2311-2320, 2018 | 20 | 2018 |
| Dry electrode design and performance evaluation for EEG based BCI systems S Lee, Y Shin, S Woo, K Kim, HN Lee 2013 International Winter Workshop on Brain-Computer Interface (BCI), 52-53, 2013 | 14 | 2013 |
| Motor imagery based BCI classification via sparse representation of EEG signals Y Shin, S Lee, M Ahn, SC Jun, HN Lee 2011 8th International Symposium on Noninvasive Functional Source Imaging of …, 2011 | 13 | 2011 |
| Performance increase by using a EEG sparse representation based classification method Y Shin, S Lee, S Woo, HN Lee 2013 IEEE International Conference on Consumer Electronics (ICCE), 201-203, 2013 | 9 | 2013 |
| Design of active dry electrodes and its evaluation for EEG acquisition S Lee, Y Shin, HN Lee 2015 International Conference on Information and Communication Technology …, 2015 | 6 | 2015 |
| Dictionary update based adaptive EEG classification for real time brain-computer interface applications Y Shin, S Lee, HN Lee 2015 International Conference on Information and Communication Technology …, 2015 | 2 | 2015 |
| Review of applications for wireless brain-computer interface systems S Woo, Y Shin, S Lee, HN Lee Emerging Theory and Practice in Neuroprosthetics, 128-152, 2014 | 2 | 2014 |
| Design of portable functional near-infrared spectroscopy-based brain monitoring system S Lee, HN Lee 2019 International Conference on Electronics, Information, and Communication …, 2019 | 1 | 2019 |
| Issues and Resolution Efforts Pertaining to TV Whitespace Usage MA Raza, Z Iqbal, S Lee, H Choi, HN Lee 한국통신학회 학술대회논문집, 77-79, 2014 | 1 | 2014 |
| Design of Dry Electrodes for Wireless BCI Systems S Lee, Y Shin, S Woo, K Kim, HN Lee Transactions of Japanese Society for Medical and Biological Engineering 51 …, 2013 | 1 | 2013 |
| Evaluation of consumer-grade wireless EEG systems for braincomputer interface applications MA Seungchan Lee, Misung Kim Biomedical Engineering Letters, 2024 | | 2024 |
| An Improved Design Technique of Digital Finite Impulse Response Filter for Notch Filtering A Kumar, K Baderia, GK Singh, S Lee, HN Lee Advances in Signal Processing and Communication: Select Proceedings of ICSC …, 2019 | | 2019 |
| High-Resolution Image Reconstruction from Old Video Recordings via Sparse Representation PS Ni, S Park, H Jang, S Lee, J Kang, HN Lee 한국통신학회 학술대회논문집, 852-853, 2015 | | 2015 |
| Dry Electrodes-based Fully Integrated EEG/fNIRS Hybrid Brain-monitoring System S Lee, Y Shin, A Kumar, M Kim, HN Lee | | |
Heung-No LeeGwangju Institute of Science and TechnologyVerified email at gist.ac.kr
