Systems and Usability Engineering

Systems and Usability Engineering

Digital Health Technologies

Digital Health 1

Digital health technologies offer many new opportunities for improved patient monitoring and care, and for supporting individuals self-manage their conditions or improve their general well-being.

We research, design, evaluate and prototype systems digital health technologies together with clinical collaborators, physiotherapists and health researchers, engineers and enterprise partners.  Our projects include:

(i) evaluations of wearables for epilepsy seizure monitoring,

(ii) assessments of consumer-grade wearable health technologies including studies on heart rate reliability and device updates,

(ii) prototypes of wearable systems with clinical collaborators for 24-hour patient monitoring. The prototypes perform multi-modal patient sensing, including physiological sensing, actigraphy and ambient sensing. This data is combined with quantified subjective reports for data analysis and visualization.

(iii) smart injection sensing systems with clinical collaborators.  Designing smartphone apps and wireless sensing systems that supports individuals practice injections with real-time autoinjector training feedback.

Selected Publications:

Evaluation of Wearable Electronics for Epilepsy, A Systematic Review, Rukasha, T., Woolley, S. I., Kyriacou, T. and Collins, T., 2020, Electronics 9 (6), 968

Investigation of Wearable Health Tracker Version Updates, Woolley, S., Collins, T., Mitchell, J. and Fredericks, D., 2019, BMJ Health & Care Informatics, 26.

Version Reporting and Assessment Approaches for New and Updated Activity and Heart Rate Monitors, Collins, T., Woolley, S.I., Oniani, S., Pires, I.M., Garcia, N.M., Ledger, S.J. and Pandyan, A., 2019. Sensors19(7), p.1705.

The Quantified Outpatient-Challenges and Opportunities in 24hr Patient Monitoring, Infante Sanchez, D., Woolley, S., Collins, T., Pemberton, P., Veenith, T., Hume, D., Laver, K. and Small, C., 2017. EFMI Medical Informatics Europe, Manchester, 2017 (best poster award).

Evaluation of AllergiSense Smartphone Tools for Adrenaline Injection Training, Hernandez-Munoz, L.U., Woolley, S.I., Luyt, D., Stiefel, G., Kirk, K., Makwana, N., Melchior, C., Dawson, T.C., Wong, G., Collins, T. and Diwakar, L., 2017.  IEEE Journal of Biomedical and Health Informatics, 21(1), pp.272-282.


We research in the potential uses of Social Media tools for Learning and Teaching. Related to this research, we are part of the Greenwich Connect Project and chaired a group that produced a Social Media policy for lecturers at the University of Greenwich. We also investigate methods for teaching programming at all levels of education and the potential of Learning Analytics within HE.

Athena Swan