Year |
Citation |
Score |
2023 |
Won K, Kim H, Gwon D, Ahn M, Nam CS, Jun SC. Can vibrotactile stimulation and tDCS help inefficient BCI users? Journal of Neuroengineering and Rehabilitation. 20: 60. PMID 37143057 DOI: 10.1186/s12984-023-01181-0 |
0.343 |
|
2023 |
Gwon D, Won K, Song M, Nam CS, Jun SC, Ahn M. Review of public motor imagery and execution datasets in brain-computer interfaces. Frontiers in Human Neuroscience. 17: 1134869. PMID 37063105 DOI: 10.3389/fnhum.2023.1134869 |
0.319 |
|
2020 |
Ahn M, Lee S, Lauro P, Schaeffer E, Akbar U, Asaad W. Rapid motor fluctuations reveal short-timescale neurophysiological biomarkers of Parkinson's disease. Journal of Neural Engineering. PMID 32756018 DOI: 10.1088/1741-2552/Abaca3 |
0.609 |
|
2020 |
Baek HJ, Kim HS, Ahn M, Cho H, Ahn S. Ergonomic Issues in Brain-Computer Interface Technologies: Current Status, Challenges, and Future Direction. Computational Intelligence and Neuroscience. 2020: 4876397. PMID 32089668 DOI: 10.1155/2020/4876397 |
0.33 |
|
2020 |
Kwon M, Cho H, Won K, Ahn M, Jun SC. Use of Both Eyes-Open and Eyes-Closed Resting States May Yield a More Robust Predictor of Motor Imagery BCI Performance Electronics. 9: 690. DOI: 10.3390/Electronics9040690 |
0.396 |
|
2020 |
Lee J, Won K, Kwon M, Jun SC, Ahn M. CNN With Large Data Achieves True Zero-Training in Online P300 Brain-Computer Interface Ieee Access. 8: 74385-74400. DOI: 10.1109/Access.2020.2988057 |
0.33 |
|
2019 |
Won K, Kwon M, Jang S, Ahn M, Jun SC. P300 Speller Performance Predictor Based on RSVP Multi-feature. Frontiers in Human Neuroscience. 13: 261. PMID 31417382 DOI: 10.3389/Fnhum.2019.00261 |
0.323 |
|
2019 |
Kim S, Jeong S, Lee E, Lee S, Jun SC, Ahn M. OpenViBE2Unity: Open Source API for Brain-Computer Interface and Unity3D Application Journal of Kiise. 46: 1157-1164. DOI: 10.5626/jok.2019.46.11.1157 |
0.316 |
|
2018 |
Schaeffer EL, Liu DY, Guerin J, Ahn M, Lee S, Asaad WF. A Low-Cost Solution for Quantification of Movement during DBS Surgery. Journal of Neuroscience Methods. PMID 29605668 DOI: 10.1016/J.Jneumeth.2018.03.013 |
0.636 |
|
2018 |
Ahn M, Cho H, Ahn S, Jun SC. User's Self-Prediction of Performance in Motor Imagery Brain-Computer Interface. Frontiers in Human Neuroscience. 12: 59. PMID 29497370 DOI: 10.3389/Fnhum.2018.00059 |
0.374 |
|
2018 |
Lauro PM, Lee S, Ahn M, Barborica A, Asaad WF. DBStar: An Open-Source Tool Kit for Imaging Analysis with Patient-Customized Deep Brain Stimulation Platforms. Stereotactic and Functional Neurosurgery. PMID 29414819 DOI: 10.1159/000486645 |
0.609 |
|
2017 |
Cho H, Ahn M, Ahn S, Kwon M, Jun SC. EEG datasets for motor imagery brain computer interface. Gigascience. PMID 28472337 DOI: 10.1093/Gigascience/Gix034 |
0.443 |
|
2015 |
Cho H, Ahn M, Kim K, Chan Jun S. Increasing session-to-session transfer in a brain-computer interface with on-site background noise acquisition. Journal of Neural Engineering. 12: 066009. PMID 26447843 DOI: 10.1088/1741-2560/12/6/066009 |
0.37 |
|
2015 |
Shin Y, Lee S, Ahn M, Cho H, Jun SC, Lee HN. Simple adaptive sparse representation based classification schemes for EEG based brain-computer interface applications. Computers in Biology and Medicine. 66: 29-38. PMID 26378500 DOI: 10.1016/J.Compbiomed.2015.08.017 |
0.319 |
|
2015 |
Ahn M, Jun SC. Performance variation in motor imagery brain-computer interface: a brief review. Journal of Neuroscience Methods. 243: 103-10. PMID 25668430 DOI: 10.1016/J.Jneumeth.2015.01.033 |
0.418 |
|
2015 |
Shin Y, Lee S, Ahn M, Cho H, Jun SC, Lee HN. Noise robustness analysis of sparse representation based classification method for non-stationary EEG signal classification Biomedical Signal Processing and Control. 21: 8-18. DOI: 10.1016/J.Bspc.2015.05.007 |
0.357 |
|
2014 |
Ahn S, Ahn M, Cho H, Chan Jun S. Achieving a hybrid brain-computer interface with tactile selective attention and motor imagery. Journal of Neural Engineering. 11: 066004. PMID 25307730 DOI: 10.1088/1741-2560/11/6/066004 |
0.402 |
|
2014 |
Ahn M, Lee M, Choi J, Jun SC. A review of brain-computer interface games and an opinion survey from researchers, developers and users. Sensors (Basel, Switzerland). 14: 14601-33. PMID 25116904 DOI: 10.3390/S140814601 |
0.313 |
|
2013 |
Ahn M, Ahn S, Hong JH, Cho H, Kim K, Kim BS, Chang JW, Jun SC. Gamma band activity associated with BCI performance: simultaneous MEG/EEG study. Frontiers in Human Neuroscience. 7: 848. PMID 24367322 DOI: 10.3389/Fnhum.2013.00848 |
0.376 |
|
2013 |
Ahn M, Cho H, Ahn S, Jun SC. High theta and low alpha powers may be indicative of BCI-illiteracy in motor imagery. Plos One. 8: e80886. PMID 24278339 DOI: 10.1371/Journal.Pone.0080886 |
0.335 |
|
2013 |
Hong JH, Ahn M, Kim K, Jun SC. Localization of coherent sources by simultaneous MEG and EEG beamformer. Medical & Biological Engineering & Computing. 51: 1121-35. PMID 23793511 DOI: 10.1007/S11517-013-1092-Z |
0.363 |
|
2012 |
Ahn M, Hong JH, Jun SC. Feasibility of approaches combining sensor and source features in brain-computer interface. Journal of Neuroscience Methods. 204: 168-78. PMID 22108142 DOI: 10.1016/J.Jneumeth.2011.11.002 |
0.366 |
|
2010 |
Ahn M, Hong JH, Jun SC. Source Space Based Brain Computer Interface Frontiers in Neuroscience. 4: 366-369. DOI: 10.1007/978-3-642-12197-5_86 |
0.395 |
|
2010 |
Hong JH, Ahn M, Jun SC. Single-Trial Analysis for Empirical MEG Data Frontiers in Neuroscience. 4: 163-166. DOI: 10.1007/978-3-642-12197-5_35 |
0.352 |
|
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