Often physiological data comes in a table and users have trust the information as it is. This is still acceptable if data driven decisions do not immediately impact the user's health and safety, but I see a trend towards such important applications as wearable technology advances. PPG is a non-invasive measurement of heart activities used in intensive care unit patient monitoring and is also widespread in wearable devices. I propose and study a regression framework to leverage user's heart activity phenomenon to reassure dataset. Experimental data were collected via Empatica's E4 wristbands. Data convergence was observed and potential application areas in vitals monitoring explored in clinical and construction settings.
Yan Hao graduated from Nanyang Technological University (NTU) Singapore with a First Class honours in Mechanical Engineering and Singapore's Temasek Polytechnic with a Diploma with Merit in Mechatronics. Being the top echelon of his cohort, he was awarded the NTU Graduate Research Officer Scholarship to pursue his PhD in human automation and AI implementation. Prior to joining NTU, Yan Hao worked for the Singapore Defence Science and Technology Agency as Defence Engineer and subsequently he was head hunted to lead an engineering team in a local small medium enterprise for crane manufacturing. His research interest is in human automation and AI implementation.
Nanyang Technological University, Singapore (NTU Singapore), under QS's 2019 Top 50 under 50, is the world's No. 1 young university for the sixth consecutive year. Being a research-intensive public university in Singapore, it has 33,000 undergraduate and postgraduate students in engineering, business, science, humanities, arts, social sciences, education and medicine.