Journal

1. Basal ganglia components have distinct computational roles in decision-making dynamics under conflict and uncertainty
   Nadja R. Ging-JehliI, James F. Cavanagh, Minkyu Ahn, David J. Segar, Wael F. Asaad, Michael J. Frank
   PLoS biology, 23(1), e3002978. - link
   
   

2. Editorial: Advances in hybrid and application-driven BCI systems
   Minkyu Ahn, Bradley Jay Edelman, Bin He, Gernot R. Müller-Putz, Florian RhrbeinFlorian Röhrbein
   Frontiers in Human Neuroscience, 18, pp. 1498196. - link

3. Motor task-to-task transfer learning for motor imagery brain-computer interfaces
   Daeun Gwon and Minkyu Ahn
   NeuroImage, 302, p. 120906, 2024 - link

4. Evaluation of consumer-grade wireless EEG systems for brain-computer interface applications
   Seungchan Lee, Misung Kim, Minkyu Ahn
   Biomedical Engineering Letters, 14(6), pp.1433-1443., 2024 - link
   
   

5. Resting‐state frontal electroencephalography (EEG) biomarkers for detecting the severity of chronic neuropathic pain
   Seungjun Ryu, DaeunGwon, Chanki Park, Yoon Ha, MinkyuAhn
   Scientific reports, 14(1), p. 20188., 2024 - link

6. Signal alignment for cross-datasets in P300 brain-computer interfaces
   Minseok Song, Daeun Gwon, Sung Chan Jun and Minkyu Ahn
   Journal of Neural Engineering, 21(3), pp. 036007, 2024 - link

7. Effect of Dynamic Binaural Beats on Sleep Quality: A Proof-of-Concept Study with Questionnaire and Biosignals
   Hwa-Ah-Ni Lee, Woo-Jin Lee, Seong-Uk Kim, Hyunji Kim, Minkyu Ahn, Jeong-Hee Kim, Do-Won Kim, Chang-Ho Yun, Han-Jeong Hwang
   Sleep, pp. zsae097, 2024 - link

8. Comparison of recognition methods for an asynchronous (un-cued) BCI system: an investigation with 40-class SSVEP dataset
   Heegyu Kim, Kyungho Won, Minkyu Ahn, Sung Chan Jun,
   Biomedical Engineering Letters, 14(3), pp. 617-630, 2024 - link

9. Can vibrotactile stimulation and tDCS help inefficient BCI users?
   Kyungho Won, Heegyu Kim, Daeun Gwon, Minkyu Ahn, Chang S. Nam, Sung Chan Jun
   Journal of NeuroEngineering and Rehabilitation, 20(1), pp. 60, 2023 - link

10. Quantification of Movement Error from Spiral Drawing Test

Hyunjin Yoon and Minkyu Ahn,

Sensors, 23(6), 3043, 2023 - link

11. A Review of Public Motor Imagery and Execution Datasets in Brain-Computer Interfaces

Daeun Gwon, Kyungho Won, Minseok Song, Chang S. Nam, Sung C. Jun and Minkyu Ahn

Frontiers in Human Neuroscience, 17, pp. 1134869, 2023 - link

12. EEG Dataset for RSVP and P300 Speller Brain-Computer Interfaces

Kyungho Won, Moonyoung Kwon, Minkyu Ahn, Sung Chan Jun

Scientific data, 9(1), pp. 388, 2022 - link

13. Editorial: Deep Learning in Brain-Computer Interface

Minkyu Ahn, Sung Chan Jun, Hong Gi Yeom, Hohyun Cho

Frontiers in Human Neuroscience, 16, pp. 927567, 2022. - link 

14. A comparison of brain segmentation methods Freesurfer and AQUA for detecting Alzheimer's disease using MRI

Sunghwan Park, Hyochan Lee, Minseok Song, Donghyeon Kim, Minkyu Ahn

ASIA-PACIFIC PSYCHIATRY. Vol. 13. 111 RIVER ST, HOBOKEN 07030-5774, NJ USA: WILEY, 2021.

15. P300 Brain-Computer Interface-Based Drone Control in Virtual and Augmented Reality

Soram Kim, Seungyun Lee, Hyunsuk Kang, Sion Kim, Minkyu Ahn

Sensors, 21(17), pp. 576, 2021- link

16. Selective Subject Pooling Strategy to Improve Model Generalization for a Motor Imagery BCI

Kyungho Won, Moonyoung Kwon, Minkyu Ahn, Sungchan Jun

Sensors, 21(16), pp. 5436, 2021- link

17. An Open Source-Based BCI Application for Virtual World Tour and Its Usability Evaluation

Sanghum Woo, Jongmin Lee, Hyunji Kim, Sungwoo Chun, Daehyung Lee, Daeun Gwon, Minkyu Ahn

Frontiers in Human Neuroscience, 15, pp. 647839, 2021 - link

18. Alpha and high gamma phase amplitude coupling during motor imagery and weighted cross-frequency coupling to extract discriminative cross-frequency patterns

Daeun Gwon, Minkyu Ahn

NeuroImage, 240, pp. 118403, 2021 - link

19. Diagnostic Classification and Biomarker Identification of Alzheimer's Disease with Random Forest Algorithm

Minseok Song, Hyeyoom Jung, Seungyong Lee, Donghyeon Kim, Minky Ahn

Brain Sciences, 11(4), pp. 453, 2021 - link

20. Rapid Motor Fluctuations Reveal Short-Timescale Neurophysiological Biomarkers of Parkinson's Disease.

Minkyu Ahn, Shane Lee, Peter M Lauro, Erin L Schaeffer, Umer Akbar, Wael F Asaad

Journal of Neural Engineering, 17(4), pp.046042, 2020- link

21. Use of Both Eye-Open and Eye-Closed Resting States May Yield a More Robust Predictor of Motor Imagery BCI Performance

Moonyoung Kwon, Hohyun Cho, Kyungho Won, Minkyu Ahn, Sungchan Jun

Electronics,9(4), pp. 690, 2020 - link

22. CNN with large data achieves true zero-training in online P300 Brain-Computer Interface

Jongmin Lee, Kyungho Won, Moonyoung Kwon, Sungchan Jun, Minkyu Ahn

IEEE Access, 8, pp. 74385-74400, 2020 - link

23. Ergonomic Issues in Brain-Computer Interface Technologies: Current Status, Challenges, and Future Direction

Hyunjae Baek, Hyunseok Kim, Minkyu Ahn, Hohyun Cho, Sangtae Ahn  

Computational Intelligence and Neuroscience, 2020, 4876397, 2020  - link

24. Improving Attention level through interactive neurofeedback game

Hyunji Kim, Sooyong Kim, Eunmin Lee, Kyungho Won, Sungchan Jun, Minkyu Ahn

IBRO Reports, 6, pp. S439, 2019. - link

25. P300 Speller Performance Predictor based on RSVP Multi-feature

Kyungho Won, Moonyoung Kwon, Sehyeon Jang, Minkyu Ahn and Sung C. Jun

Frontiers in Human Neuroscience, 13, pp. 261, 2019 - link

26. A low-cost solution for quantification of movement during DBS surgery 

Erin L. Schaeffer, Daniel Y. Liu, Julie Guerin, Minkyu Ahn, Shane Lee, Wael F. Asaad

Journal of Neuroscience Methods, 303, pp. 136-145, 2018 - link

27. User’s Self-Prediction of Performance in Motor Imagery Brain–Computer Interface

Minkyu Ahn, Hohyun Cho, Sangtae Ahn, Sung Chan Jun

Frontiers in Human Neuroscience, 12, pp. 59, 2018 - link

28. DBStar: An Open-Source Tool Kit for Imaging Analysis with Patient-Customized Deep Brain Stimulation Platforms

Peter Lauro, Shane Lee, Minkyu Ahn, Andrei Barborica, Wael Asaad

Stereotactic and Functional Neurosurgery, 96(1), pp. 13-21, 2018 - link

29. EEG datasets for motor imagery brain–computer interface

Hohyun Cho, Minkyu Ahn, Sangtae Ahn, Moonyoung Kwon and Sung Chan Jun

Giga Science, 6(7), pp. 1-8, 2017 - link

30. Increasing Session-to-Session Transfer in Brain Computer Interface with On-site Background Noise Acquisition

Hohyun Cho, Minkyu Ahn, Kiwoong Kim and Sung Chan Jun

Journal of Neural Engineering, 12(6), pp. 066009, 2015 - link

31. Simple adaptive sparse representation based classification schemes for EEG based brain-computer interface applications

Younghak Shin, Seungchan Lee, Minkyu Ahn, Hohyun Cho, Sung Chan Jun, Heung-No Lee

Computers in Biology and Medicine, 66, pp. 29-38, 2015 - link

32. Noise robustness analysis of sparse representation based classification method for non-stationary EEG signal classification

Younghak Shin, Seungchan Lee, Minkyu Ahn, Hohyun Cho, Sung Chan Jun, Heung-No Lee

Biomedical Signal Processing and Control, 21, pp. 8-18, 2015 - link

33. Performance Variation in Motor Imagery Brain-Computer Interface: A Brief Review

Minkyu Ahn and Sung Chan Jun

Journal of Neuroscience Methods, 213 (30), pp. 103-110, 2015 - link

34. Achieving hybrid brain-computer interface with tactile selective attention and motor imagery

Sangtae Ahn, Minkyu Ahn, Hohyun Cho and Sung Chan Jun

Journal of Neural Engineering, 11(6), pp. 066004, 2014 - link

35. A Review of Brain-Computer Interface Games and an Opinion Survey from Researchers, Developers and Users

Minkyu Ahn, Mijin Lee, Jinyoung Choi and Sung Chan Jun

Sensors, 14 (8), pp. 14601-14633, 2014 - link

36. High Theta and Low Alpha Powers may be Indicative of BCI-Illiteracy in Motor Imagery

Minkyu Ahn, Hohyeon Cho, Sangtae Ahn and Sung Chan Jun

PLoS ONE, 8(11), pp. e80886, 2013 - link

37. Gamma band activity associated with BCI performance - Simultaneous MEG/EEG study

Minkyu Ahn, Sangtae Ahn, Jun Hee Hong, Ho hyun Cho, Kiwoong Kim, Bong Soo Kim, Jin Woo Chang and Sung Chan Jun

Frontiers in Human Neuroscience, 7, pp. 848, 2013 - link

38. Localization of coherent sources by simultaneous MEG and EEG beamformer

Jun Hee Hong, Minkyu Ahn, Kiwoong Kim and Sung Chan Jun

Medical and Biological Engineering and Computing, 51, pp. 1121-1135, 2013 - link

39. Feasibility of Approaches Combining Sensor and Source Features in Brain Computer Interface

Minkyu Ahn, Jun Hee Hong and Sung Chan Jun

Journal of Neuroscience Methods, 204(1), pp. 168-178, 2012 - link

40. Information Extraction from the Source Space for Brain Computer Interface

Minkyu Ahn, Hohyeon Cho and Sung Chan Jun

International Journal of Bioelectromagnetism, 13, pp. 7-8, 2011 - link

1. A Brief Review of Non-Invasive Blood Pressure Estimation Techniques Using Photoplethysmographic Signals
   Yujin Cho, Gahyeon Kim, Yeeun Kim, Seongvin Ju and Minkyu Ahn

Journal of Biomedical Engineering Research, 45, pp. 364-378, 2024 - link

2. A Comparative Analysis of Motor Imagery, Execution, and Observation for Motor Imagery-based Brain-Computer Interface

Daeun Gwon, Minjoo Hwang, Jihyun Kwon, Yeeun Shin, Minkyu Ahn

Journal of Biomedical Engineering Research, 43(6), pp. 375-381, 2022 - link

3. Survey of EEG Neurofeedback methods for Attention Improvement

Hyunji Kim, Daeun Gwon, Kyungho Won, Sungchan Jun, Minkyu Ahn

Journal of KIISE, 48(10), pp. 1105, 2021 - link

4. An Open Source Based Assistive Clinical Application Development for Movement Disorder

Jeakyung Ha, Hyojeong Hwangbo, Suhan Bae, Daeun Yun, Hyojeong Gwon, Jihyun Jang,  Yeonsu Kim, Hyunkin Yun, Yein Lee, Young Goo Kim, Minkyu Ahn
Journal of KIISE, 58(5), pp. 518-526, 2021 - link

5. A Digital Device-Based Method for Quantifying Motor Impairment in Movement Disorders

Suhan Bae, Daeun Yun, Jaekyung Ha, Daeun Gwon, Young Goo Kim, Minkyu Ahn

 Journal of Biomedical Engineering Research, 41(6), pp. 247-255, 2020 - link

6. An open source based Neurofeedback Game MindCar and usability evaluation by conducting demonstration and survey

Eunmin Lee, Hyunji Kim, Sooyong Kim, Sungjoon Jeong, Kyungho Won, Sungchan Jun, Minkyu Ahn

Journal of the HCI Society of Korea, 4(4), pp. 59-65, 2019 - link

7. OpenViBE2Unity: Open Source API for Brain-Computer Interface and Unity3D Application

Sooyong Kim, Seongjoon Jeong, Eunmin Lee, Sunghan Lee, Sungchan Jun, Minkyu Ahn

Journal of KIISE, 46(11), pp. 1157-1164, 2019 - link

8. A Survey of Movement Symptom and Quantification Method in Parkinson’s Disease

Daeun Gwon, Yoseop Kim, Sangjun Kim, Myeonghu Song and Minkyu Ahn

 Journal of KIISE, 46(4), pp. 308-320, 2019 - link

9. A Review of Brain Computer Interface (BCI) Games

Minkyu Ahn, Jinyoung Choi, Mijin Lee, Jeong-Gu Lee and Sung Chan Jun

Communications of KIISE, 31(7), 26-34, 2013 - link

10. Brain Game-Application of Brain Computer Interface: Usability Test through the Demonstration

Minkyu Ahn, Sung Chan Jun, Hohyun Cho and Sangtae Ahn

Journal of KIISE: Computing Practices and Letters, 18(9), pp. 660-667, 2012 - link

11. Current Trends on Brain Computer Interface Research

Minkyu Ahn and Sung Chan Jun

Communications of KIISE, 29(4), pp. 42-53, 2011 - link

12. Comparative Study on Motor Imagery Feature Extraction Algorithms for EEG (Electroencephalograph) based Brain-Computer Interface

Hohyun Cho, Minkyu Ahn, Sangtae Ahn and Sung Chan Jun

Journal of KIISE: software and application, 38(11), pp. 599-605, 2011 - link