Towards early diagnosis of dementia using a virtual environment
Shamsuddin, Syadiah Nor Wan Ugail, Hassan Lesk, Valerie E. Walters, Elizabeth R.
Shamsuddin, Syadiah Nor Wan
Ugail, Hassan
Lesk, Valerie E.
Walters, Elizabeth R.
Publication Date
2013
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Abstract
Dementia is one of the biggest fears in the process of ageing and the most common cause is Alzheimer’s Disease(AD). Topographic disorientation is an early manifestation of AD and threatens activities of their daily lives. Finding solutions are essential in the early diagnosis of dementia if medical treatment and healthcare services to be deployed in time. Recent studies have shown that people with mild cognitive impairment (MCI) may convert to Alzheimer’s disease (AD) over time although not all MCI cases progress to dementia. The diagnosis of MCI is important to allow prompt treatment and disease management before the neurons degenerate to a stage beyond repair. Hence, the ability to obtain a method of identifying MCI is of great importance. This work presents a virtual environment which can be utilized as a quick, easy and friendly tool for early diagnosis of dementia. This tool was developed with an aim to investigate cognitive functioning in a group of healthy elderly and those with MCI. It focuses on the task of following a route, since Topographical Disorientation (TD) is common in AD. The results shows that this novel simulation was able to predict with about 90% overall accuracy using weighting function proposed to discriminate between MCI and healthy elderly.
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Shamsuddin SNW, Ugail H, Lesk VE and Walters ER (2013) Towards early diagnosis of dementia using a virtual environment. In: Gavrilova ML et al (Eds) Transactions on Computational Science XVIII. Berlin, Heidelberg: Springer: 232-247.
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Book chapter