Recently, National Yang Ming Chiao Tung University (NYCU) has been integrating the resource from the NYCU Office of Research and Development and the GLORIA project by the Ministry of Science and Technology, Taiwan, fostering the industry-academia collaboration. NYCU provides a wide range of assistance for the collaboration, including application for patterns, promotion of technology licensing, and legal consultancy for the professors to secure intellectual property rights. Furthermore, NYCU provides a one-stop coaching service for startups, encouraging entrepreneurship on the campus.

Prof. Paul C.-P. Chao and his Sensors IC Lab in the Department of ECE, NYCU, invents the world''s first flexible Photoplethysmography (PPG) sensor patch, which won the Futuretech Award in FUTEX hosted by the Ministry of Science and Technology in 2019. The flexible PPG sensor is attached to the skin over the radial artery on arms to measure various biological signals, such as pulsations of blood vessels, blood pressure, blood oxygen, and heart rate. Moreover, the sensor patch can estimate atrial fibrillation, which cannot be measured by other wearable devices. It also has more accurate measurements than smart bracelets or smartwatches because the patch design effectively overcomes the sensing degradation caused by the motion artifacts of the wrists when users exercise.

Prof. Paul C.-P. Chao shared that the development of the flexible PPG sensor patch takes four years since the idea came up. In 2019, he received a fund of 30-million NTD from the TRUST-U project by the Ministry of Science and Technology. He successfully made the prototype of the sensor patch, leading to further capital infusion from the industry. Prof. Paul C.-P. Chao expresses gratitude to the NYCU Office of Research and Development for connecting the school, the Ministry of Science and Technology, the industry, and the professors, and for the success of entrepreneurship after the TRUST-U project. The current version of the sensor patch can accurately monitor blood pleasure in real-time and effectively analyze users'' biological status with the help of Big Data and Deep Learning. The sensor patch can also forward warnings to smartphones or cloud systems to urge users to go to hospitals for preventive healthcare. In the future, when the sensor patch becomes commercially available, it can provide massive accurate biological information to the healthcare industry, facilitating medical Big Data Analysis.