Ulster University Logo

Ulster Institutional Repository

Knowledge Discovery from Activity Monitoring to Support Independent Living of People with Early Dementia

Biomedical Sciences Research Institute Computer Science Research Institute Environmental Sciences Research Institute Nanotechnology & Advanced Materials Research Institute

Nikamalfard, Hoda, Zheng, Huiru, Wang, Haiying, Jeffers, Paul, Mulvenna, Maurice, McCullagh, PJ, Suzanne, Mathieu, Wallace, Jonathan, Augusto, Juan Carlos, Carswell, William, Taylor, Barbara and McSorley, Kevin (2012) Knowledge Discovery from Activity Monitoring to Support Independent Living of People with Early Dementia. In: the IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI 2012) in conjunction with the 8th International Symposium on Medical Devices and Biosensors and the 7th International Symposium on Biomedical and Health Engineering, Hong Kong and Shenzhen, China. IEEE Engineering in Medicine and Biology Society. 4 pp. [Conference contribution]

Full text not available from this repository.

Abstract

Altered activity patterns are often the general symptoms experienced by people with dementia. The quantity and quality of patient’s daily activities such as their sleeping may be a reflection of their dementia condition and affect their quality of life. Monitoring patient’s activity patterns over different periods of time may help healthcare professionals with determining the patient’s cognitive impairment stage. In this research, we describe an activity pattern detection and visualization system developed to support the monitoring and assessment of activity patterns for people diagnosed with dementia, at the early stages of the disease. Analysis shows that rich information embedded in sensory data can provide useful knowledge for understanding patients’ activity patterns, detect unusual events and may also be useful for examining cognitive status.

Item Type:Conference contribution (Paper)
Faculties and Schools:Faculty of Art, Design and the Built Environment
Faculty of Computing & Engineering
Faculty of Art, Design and the Built Environment > School of the Built Environment
Faculty of Computing & Engineering > School of Computing and Mathematics
Faculty of Computing & Engineering > School of Engineering
Research Institutes and Groups:Computer Science Research Institute
Computer Science Research Institute > Artificial Intelligence and Applications
Computer Science Research Institute > Smart Environments
ID Code:21028
Deposited By:Dr Huiru Zheng
Deposited On:15 Feb 2012 11:28
Last Modified:15 Feb 2012 11:28

Repository Staff Only: item control page