We aim to develop wearable and ambient sensing device technologies and personalized AI/ML algorithms for continuous, longitudinal assessment of older adults' health conditions during their daily living activities (ADL). Such longitudinal health dataset will enable early detection and personalized management of chronic and neurodegenerative diseases.

Smart IPS Study
McMaster Smart Home for Aging-in-PlacE
Smart Diet & Nutrition Monitoring

Publications:

• Brenda Vrkljan, Marla K. Beauchamp, Paula Gardner, Qiyin Fang, Ayse Kuspinar, Paul D. McNicholas, K. Bruce Newbold, Julie Richardson, Darren Scott, Manaf Zargoush and Vincenza Gruppuso, “Re-engaging in Aging and Mobility Research in the COVID-19 Era: Early Lessons from Pivoting a Large-Scale, Interdisciplinary Study amidst a Pandemic,” Canadian Journal on Aging / La Revue Canadienne Du Vieillissement, 1-7, 2021, doi:10.1017/S0714980821000374 (Open Access)
• Sinead Dufour, Donna Fedorkow, Jessica Kun, Shirley S.X. Deng, & Qiyin Fang, “Exploring the Impact of a Mobile Health Solution for Postpartum Pelvic Floor Muscle Training: Pilot Randomized Controlled Feasibility Study.” JMIR MHealth and UHealth, 7(7): e12587, 2019, doi.org/10.2196/12587 (Open Access)
• Eric Mahoney, Colleen Chau, Qiyin Fang, “Experiential learning of data acquisition and sensor networks with a cloud computing platform,” Proc. SPIE 11143, Fifteenth Conference on Education and Training in Optics and Photonics: ETOP 2019, 111433X, 2 July 2019, doi.org/10.1117/12.2535399 (Open Access);
• Henry Y.-H. Siu, B. Delleman, J. Langevin, Dee Mangin, Michelle Howard, Qiyin Fang, David Price, David Chan, “Demonstrating a Technology-Mediated Intervention to Support Medication Adherence in Community-Dwelling Older Adults in Primary Care: A Feasibility Study.” Gerontology and Geriatric Medicine, 5:1-11, 2019, doi.org/10.1177/2333721419845179 (online)