Medical Imaging and NeruoEngineering Laboratory
 Laboratory Director: Po-Lei Lee (李柏磊)
office: Engineering Building 5B, Room 418.  (TEL: +886-3-4227151 ext 35132)
MINE Lab develops advanced biosensing and biosignal processing technologies, in order to explore new biomarkers for diagnoses of neurological diseases. Our research covers a wide range of topics, from development of biomedical sensing devices, image analysis/reconstruction (such as EEG, MEG, CT, MRI, PET, fNIRS), and posture analysis. Especially, we focus on exploring new techniques to comprehend brain function, treat brain disorders, and ultimately to interface directly with the brain. Further step of our research goal is to combine machine learning, signal processing methods, and computational neuroscience to achieve machines controlled by human brain, i.e., brain computer interface (BCI). 

Po-Lei Lee, Ph.D., is a professor in Department of Electrical Engineering, National Central University, Taiwan.  Dr. Lee received his B.S. degree from Department of electrical engineering, National Cheng-Kung University, Taiwan, and he got his Ph.D. degree from the Institute of Biomedical Engineering, National Yang-Ming University, Taiwan.  After obtaining his Ph.D. degree, he was a Postdoctoral Fellow in the Taipei Veterans General Hospital, engaging himself in the signal/image-analysis on electroencephalography and magnetoencephalography signals. He then joined the Department of Electrical Engineering, National Central University, Taiwan, in 2005. His research interests include signal and image processing of EEG and MEG signals as well as designing the EEG–based brain–computer interfaces. Now, he has a tight cooperation link with Prof. Yuri Shelepin in Pavlov Institute of Physiology, Russian Academic of Science, and Dr. Narisa Chu in International CW Lab, USA. 

Recent News: 2018.12.13

Prof. Po-Lei Lee cooperated with Dr. Chung-Dann Kan and Dr. Wei-Ling Chen from medical center, National Cheng-Kung University and has developed a new system which combines photoplethysmography (PPG) and sound sensor to detect arteriovenous stenosis. The research has won the award of 15th National Innovation Award (2018). The  PPG detects the quantity of blood flow tracing along the arteriovenous shunts, and the frequency analysis of   sound received from stethoscope rechecks the stenosis region in the vessels.