This study project is initiated by the sleep research center of Taipei Medical University (TMU) and started from the database of sleep examination from more than ten thousand patients.
- By the cooperation with AI and statistic researchers to create the possible prediction model of sleep disorders and the improving strategies.
- Study to analyze the relationship of physiological parameters, environmental factors and sleep quality including the in-lab sleep test results, physical activity of daily life by wearable devices, voice quality and neurocognitive function.
- The patient’s subjective and objective sleep quality will be recorded and analyzed and be integrated to develop a cognitive behavior therapy for patients with sleep disorders.
- Integrating these results to build up a home-based prediction model and treatment strategies for sleep disorders.
- Creating innovative model for medical service to provide longitudinal follow up and personalized care based on the data retrieved by wearable devices, home-based IoTs monitoring environmental factors and subjective interaction with chatting robots.
- Business models by integrating medical service between different levels of clinical units, insurance plans and healthy behaviors.
- A team with multi-disciplinary specialists for sleep medicine to conduct high quality clinical researches for patients with sleep disorders.
- Complete and continuously increasing database for data-mining to create prediction model for sleep related health technology and business.
Sleep medicine, AI, wearable devices, CBT (cognitive behavior therapy), IoTs
PI Wen-Te Liu
Associate Professor, School of Respiratory Therapy, TMU
Co-PI Chuan Yi Tang
President, Providence University
Co-PI Jyh-Shing Jang
Professor, Department of Computer Science and Information Engineering, NTU
Co-PI Yuo-Hsien Shiau
Professor, Graduate Institute of Applied Physics, NCCU
Co-PI Yu-Chuan Li
Professor, Graduate Institute of Biomedical Informatics, TMU
Co-PI Ren-Guey Lee
Distinguished Professor, Department of Electronic Engineering, NTUT
Co-PI Hui-Chun Chu
Associate Professor, Department of Computer Science and Information Management, SCU
Co-PI Che-Lun Hung
Professor, Department of Computer Science and Communication Engineering, Providence University
Co-PI Chien-Ming Yang
Professor, Department of Psychology, NCCU
Co-PI Hsin-Chien Lee
Associate Professor, Department of Psychiatry, School of Medicine, College of Medicine, TMU