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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)

E-mail: pllee@ee.ncu.edu.tw

MINE Lab develops advanced biosensing and biosignal processing technologies to explore new biomarkers for diagnosing neurological diseases. Our research covers a wide range of topics, from the development of biomedical sensing devices and image analysis/reconstruction (such as EEG, MEG, CT, MRI, PET, fNIRS), to posture analysis, assistive device development, the application of biomedical signals in robotics, remote robot control, and VR scene applications.

Especially, we focus on exploring new techniques to understand brain functions and developing biomedical electromagnetic stimulation technologies to treat central and peripheral nervous system diseases. The research directions of MINE Lab include at least the following four areas:

Brain-Computer Interface: We develop long-term dry-electrode EEG measurement techniques to understand the mechanisms of brain diseases by detecting brainwaves and use brainwave measurements to control external devices.
Wearable Devices: We develop ECG and PPG equipment to non-invasively measure blood pressure and blood glucose levels in subjects.
Posture Sensing and Human-Machine Interaction: We detect users' speech, movements, and eye movements to control external devices or robots.
Development of Bioelectromagnetic Stimulation: We develop non-invasive transcranial electrical stimulation, transcranial magnetic stimulation, and functional electrical stimulation techniques for muscle stimulation. By combining brain intentions or physiological states with biological stimulation, we aim to achieve feedback-based neural activity modulation for driving nerves, therapeutic rehabilitation, and the treatment of neurological diseases.

Lab Director

Po-Lei Lee, Ph.D., is currently a distinguished 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 Biomedical signals, inculding electroencephalography (EEG), magnetoencephalography(MEG), electrocardiography (ECG), photoplethysmography (PPG), inertial measurement units (IMU), posture analysis, brain computer interface (BCI), human machine interface (HMI), as well as biostimulation technologies. He has won several academic prize, such as the 2024 National Science and Technology Council (NSTC) Outstanding Research Award, the 2018 Distinguished Engineering Professor Award from the Chinese Institute of Electrical Engineering, the 2018 Luo Jia-Lun Outstanding Young Researcher Award from National Central University, the 2009 Young Automation Engineer Award from the Chinese Automatic Control Society, the 2009 Outstanding Young Engineer Award from the Chinese Institute of Electrical Engineering, the the National Science Council Wu Ta-You Memorial Award, etc. Professor Lee's research has received the 'Future Technology Award' from the National Science Council twice (in 2018 and 2021), and the National Innovation Award from the National Biotechnology and Medical Care Promotion Association three times (in 2010, 2018, and 2022).

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.