Abstract
會議鏈結
Webex 會議連結
會議號（存取碼）： 2510 603 4902
會議密碼： UavRxSV6e22
Artificial intelligence (AI), combined with advanced wearable and mobile technologies, has revolutionized modern healthcare delivery. These emerging technologies demonstrate remarkable capability in extracting reliable bio-signals, enabling long-term telehealth monitoring in home environments and facilitating objective clinical diagnosis. In this presentation, I will showcase the development of practical digital health system and digital biomarkers through the integration of cutting-edge technologies, wearable sensors, and machine learning algorithms. These innovations provide comprehensive health outcome and performance monitoring, assessment, and evaluation for both patients and medical professionals. I will present our latest research findings and demonstrate successful implementations of digital health solutions in real-world applications.
Webex 會議連結
會議號（存取碼）： 2510 603 4902
會議密碼： UavRxSV6e22
Artificial intelligence (AI), combined with advanced wearable and mobile technologies, has revolutionized modern healthcare delivery. These emerging technologies demonstrate remarkable capability in extracting reliable bio-signals, enabling long-term telehealth monitoring in home environments and facilitating objective clinical diagnosis. In this presentation, I will showcase the development of practical digital health system and digital biomarkers through the integration of cutting-edge technologies, wearable sensors, and machine learning algorithms. These innovations provide comprehensive health outcome and performance monitoring, assessment, and evaluation for both patients and medical professionals. I will present our latest research findings and demonstrate successful implementations of digital health solutions in real-world applications.
Bio
Kai-Chun Liu received M.S. and Ph.D. in the Department of Biomedical Engineering at National Yang-Ming University in 2015 and 2019. He is currently a Postdoctoral Research Associate at the Advanced Human Health Analytics Laboratory (AHHA), College of Information and Computer Sciences (CICS), UMass Amherst. In 2018, he was a visiting scholar in Prof. Bjoern Eskofier's Machine Learning and Data Analytics (MaD) lab at the Friedrich-Alexander University (FAU) Erlangen-Nuernberg, Germany. From 2020 to 2023, he was a Postdoctoral Scholar at Dr. Yu Tsao's Bio-ASP Lab, Research Center for Information Technology Innovation (CITI), Academia Sinica. In 2023, he served as an Assistant Professor in the Department of Electronic Engineering at National Taipei University of Technology (NTUT), Taipei, Taiwan. He develops novel healthcare systems and builds proof-of-concept prototypes by integrating interdisciplinary skills, such as bio-signal processing, machine learning, and human-computer interaction, to support diagnosis, evaluation, monitoring, and assessment in clinical and home-based environments. His main research topics include digital health, wearable computing, machine learning, and bio-signal processing.