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.
Original language | English |
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Title of host publication | Unknown Host Publication |
Publisher | IEEE Engineering in Medicine and Biology Society |
Pages | 910-913 |
Number of pages | 4 |
ISBN (Print) | 978-1-4577-2177-9 |
Publication status | Published (in print/issue) - Jan 2012 |
Event | 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 Duration: 1 Jan 2012 → … |
Conference
Conference | 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 |
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Period | 1/01/12 → … |