May 28, 2024

Conference Acceptance!

• Our lab paper has been accepted to the 2024 한국컴퓨터종합학술대회(KCC2024). 
  - 김래이, 허예림, 구자형, 이광노, 김윤관, 이민지, “Grad-CAM을 활용한 다중 채널 신호 기반의 해석 가능한 수면 단계 분류,” 2024 한국컴퓨터종합학술대회(KCC2024), 2024년 6월 26일(수)~28일(금), 제주국제컨벤션센터(ICC 제주). 

April 29, 2024

Journal Publication!

• M. Lee's paper has been published in IEEE Transactions on Neural Systems and Rehabilitation Engineering.   
  - M. Lee, H.-Y. Park, W. Park, K.-T. Kim, Y.-H. Kim*, and J.-H. Jeong*, "Multi-task Heterogeneous Ensemble Learning-based Cross-Subject EEG Classification under Stroke Patients," IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol. 32, No. 1, 2024, pp. 1767-1778. (2022-JCR-IF: 4.900, Top 5.10% in Rehabilitation)      

April 04, 2024

Conference Acceptance!

• Our lab paper has been accepted to the 4th edition of the International Conference on Pattern Recognition and Artificial Intelligence (ICPRAI 2024). 
  - S. Kim†, Y. Jang†, J.-H. Jeong, Y.-H. Kim, and M. Lee, “Prognostic EEG-Biomarkers in Sub-acute Stroke Patients for Upper-Limb Motor Rehabilitation,” Proc. 4th edition of the International Conference on Pattern Recognition and Artificial Intelligence, Jeju, Korea, July 03-06, 2024. 

January 23, 2024

Conference Acceptance!

• Our lab paper has been accepted to the Organization for Human Brain Mapping’s (OHBM) 2024 Annual Meeting. 
  - S. Kim†, Y. Jang†, Y.-H. Kim, and M. Lee, “Predicting upper limb motor prognosis in stroke patients with a graph embedding model using EEG signals,” Proc. 30th Annual Meeting of the Organization for Human Brain Mapping (OHBM 2024), Seoul, Korea, Jun. 23-27, 2024. 

December 31, 2023

Conference Acceptance!

• Our lab paper has been accepted to the 2024 12th IEEE International Winter Conference on Brain-Computer Interface. 
  - Y. Huh†, R. Kim†, J. H. Koo, Y. K. Kim, K.-N. Lee, and M. Lee*, “Automatic Sleep Stage Classification Based on Deep Learning for Multi-channel Signals,” Proc. IEEE 12th International Winter Conference on Brain-Computer Interface, Gangwon, South Korea, Feb. 26-28, 2024.

December 27, 2023

Congratulations on winning the award!

• 김래이, 허예림 학생이 제 2회 가톨릭대학교 인공지능 콜로키움에서 'Using smart wearable ECG devices to develop deep learning-based multi-channel sleep classification technology' 라는 주제로  Excellence in Undergraduate Research Award을 받았습니다.        

December 22, 2023

Journal Publication!

• M. Lee's paper has been published in Journal of Medical Internet Research.   
  - Y. K. Kim, J. H. Koo, S. J. Lee, H. S. Song*, and M. Lee*, "Explainable Artificial Intelligence Warning Model Using an Ensemble Approach for In-Hospital Cardiac Arrest Prediction: Retrospective Cohort Study," Journal of Medical Internet Research, Vol. 25, No. 1, 2023, pp. e48244.      

December 21, 2023

Congratulations on the academic research scholarship!

• 허예림, 김래이 / 김서연,장윤정 두 팀이 2023학년도 학술연구 장학생 [바이오메디컬-의료인공지능] 영역에서 최종 선발되었습니다.
  - 수면 단계 분류에 적합한 심전도 특징 추출 방법 개발 및 딥러닝 모델 개발 / 허예림, 김래이
  - 뇌졸중 환자의 운동 기능 예후 예측 / 김서연, 장윤정 

November 23, 2023

Congratulations on winning the award!

• 송대성 학생이 생명공학과 20주년 기념 학술제 [생명인의 밤] 행사에서 'Gut microbiota & Brain: health care using EEG' 라는 주제로  특별상을 받았습니다.                                                          

August 28, 2023

Journal Publication!

• M. Lee's paper has been published in Frontiers in Physiology.          
  - M. Lee, H.-G. Kwak, H.-J. Kim, D.-O. Won and S.-W. Lee, "SeriesSleepNet: An EEG Time Series Model with Partial Data Augmentation for Automatic Sleep Stage Scoring," Frontiers in Physiology, Vol. 14, No. 1, 2023, pp. 1188678.