Publication

BCI LAB

Journal Paper

  1. Minkyu Ahn, Sung Chan Jun, Hong Gi Yeom, Hohyun Cho, "Editorial: Deep Learning in Brain-Computer Interface", Frontiers in Human Neuroscience, 16:927567, 2022 - link

  2. Hyunji Kim, Daeun Gwon, Kyungho Won, Sungchan Jun, Minkyu Ahn, "Survey of EEG Neurofeedback methods for Attention Improvement", Journal of KIISE, 48(10), 1105, 2021 - link

  3. Soram Kim, Seungyun Lee, Hyunsuk Kang, Sion Kim, Minkyu Ahn, "P300 Brain-Computer Interface-Based Drone Control in Virtual and Augmented Reality", Sensors 2021, 21(17), 5765. - link

  4. Kyungho Won, Moonyoung Kwon, Minkyu Ahn, Sungchan Jun, "Selective Subject Pooling Strategy to Improve Model Generalization for a Motor Imagery BCI", Sensors 2021, 21(16), 5436. - link

  5. Sanghum Woo, Jongmin Lee, Hyunji Kim, Sungwoo Chun, Daehyung Lee, Daeun Gwon, Minkyu Ahn, "An Open Source-Based BCI Application for Virtual World Tour and Its Usability Evaluation", Frontiers in Human Neuroscience, 15: 388, 2021. - link

  6. Daeun Gwon, Minkyu Ahn, "Alpha and high gamma phase amplitude coupling during motor imagery and weighted cross-frequency coupling to extract discriminative cross-frequency patterns", NeuroImage, 118403, 2021. - link

  7. Minseok Song, Hyeyoom Jung, Seungyong Lee, Donghyeon Kim, Minky Ahn, "Diagnostic Classification and Biomarker Identification of Alzheimer's Disease with Random Forest Algorithm", Brain Sciences, 11(4), 453, 2021. - link

  8. Jeakyung Ha, Hyojeong Hwangbo, Suhan Bae, Daeun Yun, Hyojeong Gwon, Jihyun Jang, Yeonsu Kim, Hyunkin Yun, Yein Lee, Young Goo Kim, Minkyu Ahn, "An Open Source Based Assistive Clinical Application Development for Movement Disorder", Journal of KIISE, Vol 58, No. 5, 518-526, 2021. - link

  9. Suhan Bae, Daeun Yun, Jaekyung Ha, Daeun Gwon, Young Goo Kim, Minkyu Ahn, "A Digital Device-Based Method for Quantifying Motor Impairment in Movement Disorders", Journal of Biomedical Engineering Research, 41: 247-255, 2020 - link

  10. Minkyu Ahn, Shane Lee, Peter M Lauro, Erin L Schaeffer, Umer Akbar, Wael F Asaad, "Rapid Motor Fluctuations Reveal Short-Timescale Neurophysiological Biomarkers of Parkinson's Disease." Journal of Neural Engineering, 17(4), 2020- link

  11. Moonyoung Kwon, Hohyun Cho, Kyungho Won, Minkyu Ahn, Sungchan Jun, "Use of Both Eye-Open and Eye-Closed Resting States May Yield a More Robust Predictor of Motor Imagery BCI Performance", Electronics,9(4), 690, 2020. - link

  12. Jongmin Lee, Kyungho Won, Moonyoung Kwon, Sungchan Jun, Minkyu Ahn, "CNN with large data achieves true zero-training in online P300 Brain-Computer Interface", IEEE Access 8 (2020): 74385-74400. - link

  13. Hyunjae Baek, Hyunseok Kim, Minkyu Ahn, Hohyun Cho, Sangtae Ahn, "Ergonomic Issues in Brain-Computer Interface Technologies: Current Status, Challenges, and Future Direction", Computational Intelligence and Neuroscience, vol. 2020, Article ID 4876397, 2 pages, 2020 - link

  14. Hyunji Kim, Sooyong Kim, Eunmin Lee, Kyungho Won, Sungchan Jun, Minkyu Ahn, "Improving Attention level through interactive neurofeedback game", IBRO Reports, 6, S439, 2019. - link

  15. Eunmin Lee, Hyunji Kim, Sooyong Kim, Sungjoon Jeong, Kyungho Won, Sungchan Jun, Minkyu Ahn, "An open source based Neurofeedback Game MindCar and usability evaluation by conducting demonstration and survey", Journal of the HCI Society of Korea, Vol. 14, No. 4, pp. 59-65, 2019. - link

  16. Sooyong Kim, Seongjoon Jeong, Eunmin Lee, Sunghan Lee, Sungchan Jun, Minkyu Ahn, "OpenViBE2Unity: Open Source API for Brain-Computer Interface and Unity3D Application", Journal of KIISE, Vol. 46, No. 11, pp. 1157-1164, 2019. - link

  17. Kyungho Won, Moonyoung Kwon, Sehyeon Jang, Minkyu Ahn and Sung C. Jun, "P300 Speller Performance Predictor based on RSVP Multi-feature", Frontiers in Human Neuroscience, 2019. - link

  18. Daeun Gwon, Yoseop Kim, Sangjun Kim, Myeonghu Song and Minkyu Ahn, “A Survey of Movement Symptom and Quantification Method in Parkinson’s Disease”, Journal of KIISE, Vol. 46, No. 4, pp. 308-320, 2019. - link

  19. Erin L. Schaeffer, Daniel Y. Liu, Julie Guerin, Minkyu Ahn, Shane Lee, Wael F. Asaad, “A low-cost solution for quantification of movement during DBS surgery”, Journal of Neuroscience Methods, 2018. - link

  20. Minkyu Ahn, Hohyun Cho, Sangtae Ahn, Sung Chan Jun, "User’s Self-Prediction of Performance in Motor Imagery Brain–Computer Interface", Frontiers in Human Neuroscience, 2018. - link

  21. Peter Lauro, Shane Lee, Minkyu Ahn, Andrei Barborica, Wael Asaad, "DBStar: An Open-Source Tool Kit for Imaging Analysis with Patient-Customized Deep Brain Stimulation Platforms", Stereotactic and Functional Neurosurgery, 2018. - link

  22. Hohyun Cho, Minkyu Ahn, Sangtae Ahn, Moonyoung Kwon and Sung Chan Jun, "EEG datasets for motor imagery brain–computer interface", Giga Science, 6, 1-8, 2017. - link

  23. Hohyun Cho, Minkyu Ahn, Kiwoong Kim and Sung Chan Jun, "Increasing Session-to-Session Transfer in Brain Computer Interface with On-site Background Noise Acquisition", Journal of Neural Engineering, 12, 066009, 2015. - link

  24. Younghak Shin, Seungchan Lee, Minkyu Ahn, Hohyun Cho, Sung Chan Jun, Heung-No Lee, “Simple adaptive sparse representation based classification schemes for EEG based brain-computer interface applications”, Computers in Biology and Medicine, 66, pp. 29-38, 2015. - link

  25. Younghak Shin, Seungchan Lee, Minkyu Ahn, Hohyun Cho, Sung Chan Jun, Heung-No Lee, "Noise robustness analysis of sparse representation based classification method for non-stationary EEG signal classification", Biomedical Signal Processing and Control, 21, pp. 8-18, 2015. - link

  26. Minkyu Ahn and Sung Chan Jun, "Performance Variation in Motor Imagery Brain-Computer Interface: A Brief Review", Journal of Neuroscience Methods, 213 (30), pp. 103-110, 2015. - link

  27. Sangtae Ahn, Minkyu Ahn, Hohyun Cho and Sung Chan Jun, “Achieving hybrid brain-computer interface with tactile selective attention and motor imagery”, Journal of Neural Engineering, 2014. - link

  28. Minkyu Ahn, Mijin Lee, Jinyoung Choi and Sung Chan Jun, "A Review of Brain-Computer Interface Games and an Opinion Survey from Researchers, Developers and Users", Sensors, 14 (8), 14601-14633, 2014. - link

  29. Minkyu Ahn, Hohyeon Cho, Sangtae Ahn and Sung Chan Jun, “High Theta and Low Alpha Powers may be Indicative of BCI-Illiteracy in Motor Imagery”, PLoS ONE 8, e80886, 2013. - link

  30. Minkyu Ahn, Sangtae Ahn, Jun Hee Hong, Ho hyun Cho, Kiwoong Kim, Bong Soo Kim, Jin Woo Chang and Sung Chan Jun, “Gamma band activity associated with BCI performance - Simultaneous MEG/EEG study”, Frontiers in Human Neuroscience, 7, 848, 2013. - link

  31. Jun Hee Hong, Minkyu Ahn, Kiwoong Kim and Sung Chan Jun, “Localization of coherent sources by simultaneous MEG and EEG beamformer”, Medical and Biological Engineering and Computing, 51, 1121-1135, 2013 - link

  32. Minkyu Ahn, Jinyoung Choi, Mijin Lee, Jeong-Gu Lee and Sung Chan Jun, “A Review of Brain Computer Interface (BCI) Games”, Communications of KIISE 31(7), 26-34, 2013 - link

  33. Minkyu Ahn, Jun Hee Hong and Sung Chan Jun, “Feasibility of Approaches Combining Sensor and Source Features in Brain Computer Interface” Journal of Neuroscience Methods, 204, 168-178, 2012 - link

  34. Minkyu Ahn, Sung Chan Jun, Hohyun Cho and Sangtae Ahn, “Brain Game-Application of Brain Computer Interface: Usability Test through the Demonstration”, Journal of KIISE: Computing Practices and Letters, 660-667, 2012 - link

  35. Minkyu Ahn, Hohyeon Cho and Sung Chan Jun, “Information Extraction from the Source Space for Brain Computer Interface,” International Journal of Bioelectromagnetism, 13, 7-8, 2011 - link

  36. Minkyu Ahn and Sung Chan Jun, “Current Trends on Brain Computer Interface Research”, Communications of KIISE 29(4), 42-53, 2011

  37. Hohyun Cho, Minkyu Ahn, Sangtae Ahn and Sung Chan Jun, “Comparative Study on Motor Imagery Feature Extraction Algorithms for EEG (Electroencephalograph) based Brain-Computer Interface”, Journal of KIISE: software and application, 599-605, 2011 - link

International Conference

  1. Daeun Gwon, Minkyu Ahn, "A hybrid approach for ERP and ERDS in motor imagery BCI", Society for Neuroscience, 2021.

  2. Hyunji Kim, Kyungho Won, Sungchan Jun, Minkyu Ahn, "A neurofeedback game for attention improvement and its evaluation", Society for Neuroscience, 2021.

  3. Sunghwan Park, Hyochan Lee, Minseok Song, Donghyeon Kim, Minkyu Ahn, "A comparison of brian segmentation methods Freesurfer and AQUA for detecting Alzheimer's disease using MRI.", 19th International Congress of the Pacific Rim College of Psychiatrists, 2021. - pdf

  4. Kyungho Won, Moonyoung Kwon, Sunghan Lee, Minkyu Ahn, Sungchan Jun, "May Alpha Neurofeedback Affect Motor Imagery BCI Performance?", Neuroadaptive Technology Conference, 2019. - pdf

  5. David Liu, Minkyu Ahn, Shane Lee, Peter Lauro, Erin Schaeffer, Daniel Amaya, Umer Akbar, Wael Asaad, "Convolution Neural Networks for Detection of Parkinsonian Motor Impairment", AANS 2019 Annual Scientific Meeting, 2019. - pdf

  6. Hyunji Kim, Sooyong Kim, Eunmin Lee, Kyungho Won, Sungchan Jun, Minkyu Ahn, "Improving Attention Level through Interactive Neurofeedback Game", 10th IBRO World Congress of Neuroscience, 2019. - pdf

  7. Daeun Gwon, Minkyu Ahn, "A novel method for multi-frequency components of a single channel in brain state classification", Neuroscience 2019. - pdf

  8. Jongmin Lee, Moonyoung Kwon, Daeun Kyungho Won, Sung Chan Jun, Minkyu Ahn, "Calibration-less p300 speller system using massive data and convolutional neural network", Neuroscience 2019. - pdf

  9. D. E. AMAYA, P. M. LAURO, J. YU, D. D. LIU, E. L. SCHAEFFER, M. AHN, U. AKBAR, S. LEE, W. F. ASAAD, "Circuit Mechanisms of Motor Dysfunction in Parkinson's Disease", Neuroscience 2019. - pdf

  10. Daeun Gwon, Minseok Song, Young Goo Kim and Minkyu Ahn, “Tablet-based Application for Quantification of Tremor in Movement Disorder”, SMIT2018-IBEC2018 Joint Conference, 2018. - pdf

  11. Jongmin Lee, Jiwoong Kim, Moonyoung Kwon, Kyungho Won, Sung Chan Jun, Minkyu Ahn, “Zero-Training based on Deep Learning and Big Data in P300 Brain-Computer Interface”, SMIT2018-IBEC2018 Joint Conference, 2018. - pdf

  12. Moonyoung Kwon, Hohyun Cho, Sunghan Lee, Kyungho Won, Jongmin Lee, Minkyu Ahn and Sung Chan Jun, “New Correlates of Motor imagery BCI performance - eye-open and eye-closed states”, Seventh International BCI Meeting, 2018. - pdf

  13. Kyungho Won, Moonyoung Kwon, Sunghan Lee, Jongmin Lee, Minkyu Ahn and Sung Chan Jun, “Association between RSVP task ERP and P300 speller performance”, Seventh International BCI Meeting, 2018. - pdf

  14. Kyungho Won, Moonyoung Kwon, Sunghan Lee, Sehyeon Jang, Jongmin Lee, Minkyu Ahn and Sung Chan Jun, “ERP variation may be negatively correlated with P300 speller performance”, 2nd International Neuroergonomics Conference, 2018. - pdf

  15. Kyungho Won, Moonyoung Kwon, Sunghan Lee, Sehyeon Jang, Jongmin Lee, Minkyu Ahn and Sung Chan Jun, “Seeking RSVP Task Features Correlated with P300 Speller Performance”, Proceedings of IEEE International Conference on Systems, Man, and Cybernetics, pp. 1129-1133, 2018.

  16. Moonyoung Kwon, Hohyun Cho, Kyungho Won, Minkyu Ahn and Sung Chan Jun, “Event-related desynchronization (ERD) may not be correlated with motor imagery BCI performance”, Proceedings of IEEE International Conference on Systems, Man, and Cybernetics, pp. 1129-1133, 2018.

  17. Moonyoung Kwon, Hohyun Cho, Sunghan Lee, Kyungho Won, Minkyu Ahn and Sung Chan Jun, “Correlation between event-related desynchronization and motor imagery brain-computer interface performance”, Neuroscience Annual Meeting, 2018.

  18. Kyungho Won, Moonyoung Kwon, Sehyeon Jang, Minkyu Ahn and Sung Chan Jun, “Relationship between RSVP task EEG features and P300 speller performance”, Neuroscience Annual Meeting, 2018. - pdf

  19. J. Y. Yu, S. Lee, D. D. Liu, M. Ahn, P. M. Lauro, W. F. Asaad, “Quantifying Parkinsonian motor symptoms using tablet-based behavioral biomarkers”, Neuroscience Annual Meeting, 2018. - pdf

  20. James Y.H. Yu, Shane Lee, Erin Schaeffer, Minkyu Ahn, Peter M. Lauro, Daniel E. Amaya, Wael Asaad, “Assessment of Rapid Fluctuations in Parkinsonian Symptoms using a Continuous Motor Assay”, American Society for Stereotactic and Functional Neurosurgery biennial meeting, 2018. - pdf

  21. Peter Lauro, Shane Lee, Minkyu Ahn, Andrei Barborica, Wael Asaad, “DBStar: an open-source toolkit for reconstructing targets from deep brain stimulation procedures performed with patient-customized stereotactic platforms”, Neuroscience Annual Meeting, 2017.

  22. Minkyu Ahn, Shane Lee, Julie Guerin, David Segar, Tina Sankhla, Wael Asaad, “Rapid prediction of movement states from ongoing neural activity in Parkinson’s Disease”, Neuroscience Annual Meeting, 2016.

  23. Julie Guerin, Shane Lee, Minkyu Ahn, Stephanie Jones, Wael Asaad, “Investigating motor adaptation in essential tremor and the influence of VIM thalamic deep brain stimulation”, Neuroscience Annual Meeting, 2016.

  24. Erin Schaeffer, Daniel Liu, Minkyu Ahn, Julie Guerin, Shane Lee, Wael Asaad, “A low-cost, intraoperative movement quantification system for DBS surgery and neurophysiology”, Neuroscience Annual Meeting, 2016.

  25. Hohyun Cho, Minkyu Ahn and Sung Chan Jun, “Comparison of session-to-session transfer between old and recent session data in motor imagery BCI”, Proceedings of the sixth international brain-computer interface meeting, 2016.

  26. Minkyu Ahn, Shane Lee, Julie Guerin, David Segar, Tina Sankhla, Wael Asaad, “Short-time prediction of motor performance using Local Field Potential in Parkinson’s Disease”, Proceedings of ASSFN2016, 2016.

  27. Minkyu Ahn, Shane Lee, Julie Guerin, David Segar, Tina Sankhla, Wael Asaad, “Rapid prediction of movement states from neuronal activity in Parkinson’s disease”, Proceedings of COSYNE2016, III-44, 2016.

  28. Minkyu Ahn, Hohyun Cho, Sangtae Ahn and Sung Chan Jun, “Multi-state driven decoding for brain-computer interfacing”, Graz BCI Conference, Article ID 010-1, 2014.

  29. Moonyoung Kwon, Minkyu Ahn, Jun Hee Hong, Soodam Park, Taejin Park and Sung Chan Jun, “Valence Detection for Image Stimulated EEG Data”, 6th International IEEE EMBS Conference on Neural Engineering, 2013

  30. Hohyun Cho, Minkyu Ahn, Santae Ahn, Sung Chan Jun, “Strategy for Reducing Calibration Time With Invariant Common Spatio-Spectral Patterns”, Proceedings of the fifth international brain-computer interface meeting, ID 123, 2013

  31. Minkyu Ahn, Hohyun Cho, Santae Ahn, Sung Chan Jun, “Performance prediction in motor imagery BCI”, Proceedings of the fifth international brain-computer interface meeting, ID 143, 2013

  32. Minkyu Ahn, Jun Hee Hong, Hohyun Cho, Sangtae Ahn and Sung Chan Jun, “Neuro-physiological difference of default mode network (DMN) between BCI able and illiteracy subject groups”, Neuroscience, 891.15/NN3, 2012

  33. Minkyu Ahn, Jun Hee Hong, Hohyun Cho and Sung Chan Jun, “Single Trial Classification by Simultaneous MEG/EEG Source Imaging”, Proceedings of BIOMAG conference, 301-302, 2012

  34. Hohyun Cho, Minkyu Ahn, Sung Chan Jun, “Online Brain-Computer Interface - Performance Comparison among Various Feature Extraction Methods”, Proceedings of BIOMAG conference, 303-304, 2012

  35. Minkyu Ahn, Hohyun Cho, Santae Ahn, Sung Chan Jun, “Single Imaging Modalities and Multimodality in Brain Computer Interface - MEG, EEG, and Simultaneous MEG/EEG”, Proceedings of TOBI 3rd workshop, 49-50, 2012

  36. Hohyun Cho, Minkyu Ahn, Santae Ahn, Sung Chan Jun, “Invariant Common Spatio-Spectral Patterns”, Proceedings of TOBI 3rd workshop, 31-32, 2012

  37. Sangtae Ahn, Minkyu Ahn, Hohyun Cho, Sung Chan Jun, “Correlation between BCI accuracy and Information Distribution”, Proceedings of TOBI 3rd workshop, 43-44, 2012

  38. Sangtae Ahn, Minkyu Ahn, Hohyun Cho, Sung Chan Jun, “COMPARISON BETWEEN ERD BASED BCI AND SSSEP BASED BCI - FEASIBILITY STUDY FOR HYBRID BCI”, Proceedings of DECODER 1st Workshop, 2012

  39. Woongbin Kim, Minkyu Ahn, Hyunmin Moon, Yoobin Koh, Hohyun Cho, Sangtae Ahn, Sung Chan Jun, “Application of Concentration or High Attention - Car Racing Biofeedback Game”, Proceedings of ICEIC, 496-497, 2012

  40. Minkyu Ahn, Sung Chan Jun, “MEG/EEG Spatiotemporal Noise Covariance Estimation in the Least Squares Sense,” Proceedings of APSIPA 2011, 1-6, 2011

  41. Minkyu Ahn, Hohyun Cho, and Sung Chan Jun, “Calibration Time Reduction through Source Imaging in Brain Computer Interface (BCI)”, Proceedings of HCII 2011, CCIS 174, 269-273, 2011

  42. Younghak Shin, Seungchan Lee, Minkyu Ahn, Sung Chan Jun and Heung-No Lee, “Motor Imagery based BCI Classification via Sparse Representation of EEG Signals”, Proceedings of NFSI & ICBEM 2011

  43. Younghak Shin, Seungchan Lee, Minkyu Ahn, Sung Chan Jun, Heung-No Lee, “A New BCI Classification Method based on EEG Sparse Representation”, Proceedings of the 5th International Brain-Computer Interface Conference, 72-75, 2011

  44. Minkyu Ahn, Jun Hee Hong, Sung Chang Jun, “Source space based Brain-Computer Interface”, BIOMAG2010, IFMBE Proceedings 28, 366-369, 2010

  45. Jun Hee Hong, Minkyu Ahn, Sung Chang Jun,”Single-Trial Analysis for Empirical MEG Data”, BIOMAG2010, IFMBE Proceedings 28, 163-166, 2010

  46. Minkyu Ahn, Sungwook Kang and Sung Chan Jun, “Effort toward Zero Training in Brain-Computer Interface using Beamforming Source Imaging”, Proceedings of the fifth international brain-computer interface meeting, F-6, 2010

  47. Minkyu Ahn, Hohyeon Cho, Sung Chan Jun, “Information Extraction from the Source Space for Brain Computer Interface”, Proceedings of TOBI 2nd workshop, 29-30, 2010

Domestic Conference

  1. 박성환, 이효찬, 김동현, 안민규, "생성적 적대 신경망과 뇌 MRI 영상을 활용한 알츠하이머병의 진행 예측", HCI Korea, 2022.

  2. 김민철, 황은진, 안민규, "뇌-컴퓨터 인터페이스 데이터 간 전이 학습을 위한 신호 정렬 기법", HCI Korea, 2022.

  3. Eunjin Hwang, Minchul Kim, Minkyu Ahn, "Unsupervised learning with signal alignment for Calibration-less P300 BCI", 대한뇌파신경생리학회 연례학술대회, 2021.

  4. 이예인, 김연수, 윤현진, 김영구, 안민규, "이상운동증 진단을 위한 나선그리기 검사의 정량화 방법", KCC, 2021. - pdf

  5. 이효찬, 박성환, 송민석, 김동현, 안민규, "뇌 MRI 기반 알츠하이머성 치매 진단을 위한 뇌 영역 분할 방법에 대한 평가", KCC, 2021. - pdf

  6. 임형빈, 권하은, 안민규, "뇌-컴퓨터 인터페이스 기반 게임 환경의 UX 개선 연구", KCC, 2021. - pdf

  7. 임형빈, 권하은, 안민규, "뇌-컴퓨터 인터페이스 기반 퍼즐 어드벤처 게임", HCI Korea, 2021. - pdf

  8. 정가현, 최시령, 안민규, "우울증을 위한 가상현실 기반 뉴로피드백 게임", HCI Korea, 2021. - pdf

  9. 이승윤, 강현석, 김소람, 김시온, 안민규, "뇌-컴퓨터 인터페이스를 이용한 가상현실 및 증강현실 드론 콘텐츠", HCI Korea, 2021. - pdf

  10. 하재경, 김연수, 윤현진, 이예인, 김영구, 안민규, "Tremor Check : 손떨림 측정을 위한 모바일 앱", HCI Korea, 2021. - pdf

  11. Sion Kim, Soram Kim, Hyun Suk Kang, Seung Yun Lee, Minkyu Ahn, "Brain-Computer Interface for Virtual and Augmented Reality-based Drone Control", 대한뇌파신경생리학회 연례학술대회, 2020. - pdf

  12. 이승윤, 강현석, 김소람, 김시온, 안민규, "뇌파 기반 컨트롤을 위한 애플리케이션", 한국소프트웨어종합학술대회, 2020. - pdf

  13. 하재경, 황보효정, 권효정, 장지현, 배수한, 윤다은, 김영구, 안민규, "이상운동증 진단을 위한 오픈소스 기반 임상 애플리케이션", 한국컴퓨터종합학술대회 2020. - pdf

  14. 배수한, 윤다은, 하재경, 황보효정, 권효정, 장지현, 권다은, 안민규, "디지털 그리기 검사를 이용한 이상운동 정량화", HCI Korea, 2020. - pdf

  15. 김희찬, 신유진, 안민규, "뇌-컴퓨터 인터페이스 기반 모바일 자동차 게임", HCI Korea, 2020. - pdf

  16. 송민석, 정혜윰, 이승용, 이종원, 김동현, 안민규, "비 뇌영상 데이터와 기계학습을 이용한 알츠하이머병 분류", HCI Korea, 2020. - pdf

  17. 권다은, 안민규, "Brain States Classification Based on Cross Frequency Coupling Using a single electrode", 대한뇌파신경생리학회, 2019. - pdf

  18. 윤다은, 배수한, 하재경, 황보효정, 권다은, 안민규, "디지털 나선그리기 검사를 이용한 이상운동 정량화", 대한의용생체공학회 추계학술대회, 2019. - pdf

  19. 김영은, 정재훈, 안민규, "상용 스마트밴드를 활용한 응급상황 감지 어플리케이션", 한국컴퓨터종합학술대회 논문집 pp.1679-1681, 2019. - pdf

  20. 권다은, 안민규, “파킨슨병 환자와 본태성 진전 환자의 극소전위장을 통한 진전 예측”, 대한의용생체공학회 춘계학술대회, 2019. - pdf

  21. 김현지, 우상흠, 이종민, 김수용, 이은민, 원경호, 전성찬, 안민규, “인터렉티브 뉴로피드백 게임을 통한 집중력 향상”, 대한의용생체공학회 춘계학술대회, 2019. - pdf

  22. 김영은, 정재훈, 안민규, “상용 스마트밴드를 활용한 낙상 감지 어플리케이션”, 한국멀티미디어학회 춘계학술대회 논문집 제22권 1호 340쪽, 2019. - pdf

  23. 김수연, 문기원, 정혜윰, 송민석, 안민규, “집중력 및 심리적 안정감 조절을 위한 뉴로피드백 어플리케이션 개발”, 한국멀티미디어학회 춘계학술대회 논문집 제22권 1호 315쪽, 2019. - pdf

  24. 이종원, 김선직, 김동현, 안민규, “뇌 영상 기반 인공지능 개발을 위한 플랫폼”, 한국멀티미디어학회 춘계학술대회 논문집 제22권 1호 363쪽, 2019. - pdf

  25. 황보효정, 윤다은, 권다은, 김영구, 안민규, “이상운동증 진단을 위한 어플리케이션”, 한국멀티미디어학회 춘계학술대회 논문집 제22권 1호 389쪽, 2019. - pdf

  26. 김수용, 이은민, 정성준, 이성한, 전성찬, 안민규, “오픈소스 뇌-컴퓨터 인터페이스 게임 : MindCar2.0”, 한국소프트웨어종합학술대회 논문집, 2018. - pdf

  27. 정재훈, 김영은, 권다은, 안민규, “상용 스마트 밴드를 이용한 노인의 건강 상태 모니터링 앱”, 한국소프트웨어종합학술대회 논문집, 2018. - pdf

  28. 천성우, 우상흠, 이대형, 김현지, 이종민, 안민규, “P300 뇌-컴퓨터 인터페이스를 이용한 세계여행 시스템”, 한국소프트웨어종합학술대회 논문집, 2018. - pdf

  29. Jongmin Lee, Jiwoong Kim, Kyungho Won, Moonyoung Kwon, Sung Chan Jun and Minkyu Ahn, “Semi-supervised learning with massive data in P300 BCI”, 대한뇌파신경생리학회 연례학술대회, 2018. - pdf

  30. E. Lee, S. Kim, S. Jeong, J. Kim, S. Eom, K. Won, S. Lee, S. Jun and M. Ahn, “Open source based a multi-purpose neurofeedback application”, 대한뇌파신경생리학회 연례학술대회, 2018. - pdf

  31. 이종민, 김지웅, 원경호, 권문영, 전성찬, 안민규, “대량의 데이터와 인공신경망을 이용한 뇌-컴퓨터 인터페이스의 학습단계 최소화”, 한국컴퓨터종합학술대회 논문집, 2018. - pdf

  32. 김요섭, 김상준, 권다은, 송명후, 안민규, “파킨슨병의 진전 모니터링 시스템”, 한국컴퓨터종합학술대회 논문집, 2018. - pdf

  33. 정성준, 김준호, 엄수상, 이성한, 전성찬, 안민규, “다목적 뇌-컴퓨터 인터페이스 게임”, 한국컴퓨터종합학술대회 논문집, 2018. - pdf

  34. 이종민, 김지웅, 원경호, 권문영, 전성찬, 안민규, “공변량 변화(Covariate Shift)로 인한 P300 뇌파 타자기의 성능변화”, 대한의용생체공학회 춘계학술대회, 2018. - pdf

  35. 정성준, 김준호, 엄수상, 이성한, 전성찬, 안민규, “오픈소스 기반 뇌파 게임: Mind Car”, 대한의용생체공학회 춘계학술대회, 2018. - pdf

  36. 혀예인, 김현지, 안진근, 김지웅, 이종민, 전성찬, 안민규, “실용적 뇌전도 기반 뇌파인증 시스템 개발”, 한국컴퓨터종합학술대회 논문집, 2018.

  37. 천성우, 이대형, 우상흠, 이종민, 안민규, “P300 뇌-컴퓨터 인터페이스를 이용한 가상현실 여행 시스템”, 한국멀티미디어학회 춘계학술발표대회 논문집 제21권 1호, 2018. - pdf

  38. 권다은, 송명후, 김요섭, 김상준, 안민규,”파킨슨병 운동증상의 정량화 방법에 대한 조사”, HCI Korea 논문집, 2018. - pdf

Book Chapter

  1. Hohyun Cho, Minkyu Ahn, Moonyoung Kwon, and Sung Chan Jun (2018). “23 A Step-by-Step Tutorial for a Motor Imagery–Based BCI,” in Brain–Computer Interfaces Handbook: Technological and Theoretical Advances, eds. C. S. Nam, A. Nijholt, and F. Lotte (CRC Press), 445–460.

Awards

  1. Apr, 2021 Best Presentation Award at PRCP 2021 Seoul "A comparison of brain segmentation methods Freesurfer and AQUA for detecting Alzheimer's disease using MRI."

  2. Feb, 2021 Encouragement Award at KSC 2020 "Applications for EEG-based drone control"

  3. Nov, 2019 Grand Prize at Handong Global Unversity 2019 Fall Capstone Festival "Diagnostic Application for Movement Disorder"

  4. Nov, 2019 Excellence Prize at Handong Global Unversity 2019 Fall Capstone Festival "Medical AI Software Development Using Medical Image"

  5. Nov, 2019 Excellence Prize at 2019 Korea Society of Medical and Biological Engineering Fall Conference "Quantification of Movement Disorder through digital spiral drawing task"

  6. Aug, 2019 First Prize at Korean Institute of Information Scientist and Engineers 2019 KCC Spring Conference "Emergency Detection App using a Commercial Smart Band"

  7. May, 2019 Second Prize at Handong Global University 2019 Spring Capstone Festival "Emergency Detection App using a Commercial Smart Band"

  8. May, 2019 Outstanding Paper Award at Korea Multimedia Society 2019 Spring Conference "Develop Apps for Hand Shaking Diagnostics"

  9. Dec, 2018 Outstanding Paper Award at Korean Society for EEG and Neurophysiology 2018 Conference "Semi-supervised learning with massive data in P300 BCI"

  10. Nov, 2018 First Prize at KNU Software Convergence Design Project Performance Presentation "Development of Degenerative Brain Disease Health data Collection and Monitoring System using IoT"

  11. Jul, 2018 Excellence Prize at Korean Institute of Information Scientist and Engineers 2018 KCC Spring Conference "Multipurpose Brain-Computer Interface Game"

Software

  1. P300 뇌-컴퓨터 인터페이스를 이용한 세계여행 시스템 (등록일 2019-01-09)

  2. MindCar(마인드카)2.0 (등록일 2019-01-02)

  3. Tremor Quantifier(정량화 애플리케이션) version 1.0 (등록일 2018-12-20)

  4. MindCar1.0(마인드카) (등록일 2018-08-21)

  5. 파킨슨병 환자를 위한 진전 모니터링 시스템 (등록일 2018-07-25)

  6. EmoDecoder (등록일 2013-03-27)

  7. BCI2000BinoKitM (뇌-컴퓨터 인터페이스 휴니모 연동 모듈) (등록일 2013-03-20)

  8. BCICarRacing1.0 (등록일 2011-12-16)

  9. GBrainGameCarRacing1.0 (등록일 2011-03-03)

  10. BCI2000Laxtha (등록일 2010-11-01)

  11. GDigitizer 1.0 (등록일 2010-03-12)

  12. GSigProC1.0 (등록일 2009-10-07)

  13. GLoC1.0 (등록일 2009-10-07)

Patent

  1. 나선그리기 오차거리 계산을 통한 이상운동증 진단 방법 및 시스템 (출원번호 10-2021-0082179)

  2. 뇌전도데이터의 가중치 교차 주파수 결합정보 기반의 뇌상태 분류 방법 (출원번호 10-2021-0031372)

  3. 멀티쓰레드를 활용한 뇌-컴퓨터 인터페이스(BCI) 시스템 기반 게임 구현 방법 (출원번호 10-2021-0027459)

  4. 이상운동증상 진단을 위한 정량화 방법 및 시스템 (출원번호 10-2019-0157183)

  5. BCI 시스템의 신뢰성 향상 방법 (등록번호 10-2094936, 등록일 2020-03-24)

  6. 휴지상태의 뇌전도 데이터에 기반한 뇌파 인증 장치 및 뇌파 인증 방법 (특허번호 10-2072030, 등록일 2020-01-23)

  7. BCI 시스템의 신뢰성 향상 방법 (특허번호 10-1553256, 등록일 2015-09-09)

  8. 정보 통합 뇌파 분석방법 및 장치와 이를 수록한 기록매체 (특허번호 10-1330712, 등록일 2013-11-12)