Abstract
Dementia is a growing healthcare problem, and it has become necessary to find a way to reduce the prevalence of this disease. Mild cognitive impairment is a risk factor for dementia, and being able to detect the onset of mild cognitive impairment gives healthcare professionals the chance to reduce the effect of dementia on the society. In this paper, we propose a system that seeks to detect mild cognitive impairment in otherwise healthy persons. We are particularly interested in being able to gather data for monitoring without interfering with the subject's daily living.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the 7th International Conference on PErvasive Technologies Related to Assistive Environments, PETRA 2014 |
| Publisher | Association for Computing Machinery |
| ISBN (Electronic) | 9781450327466 |
| DOIs | |
| Publication status | Published - 27 May 2014 |
| Externally published | Yes |
| Event | 7th ACM International Conference on Pervasive Technologies Related to Assistive Environments, PETRA 2014 - Rhodes, Greece Duration: 27 May 2014 → 30 May 2014 |
Publication series
| Name | ACM International Conference Proceeding Series |
|---|---|
| Volume | 2014-May |
Conference
| Conference | 7th ACM International Conference on Pervasive Technologies Related to Assistive Environments, PETRA 2014 |
|---|---|
| Country/Territory | Greece |
| City | Rhodes |
| Period | 27/05/14 → 30/05/14 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
Keywords
- Cognitive behavior analysis
- Health monitoring
- Mild cognitive impairment
- Opportunistic sensing
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