Detection of activities of daily living impairment in Alzheimer's disease and mild cognitive impairment using information and communication technology

Guillaume Sacco(Université Côte d'Azur), Véronique Joumier(Institut de Chimie de Nice), Darmon(Cognition Behaviour Technology), Dechamps(Pancasila University), Alexandre Derreumaux(Cognition Behaviour Technology), J. Lee(Institut de Chimie de Nice), Piano(Institut de Chimie de Nice), Nathalie Bordone(Institut de Chimie de Nice), Alexandra Konig(Cognition Behaviour Technology), Bernard Teboul, Renaud David(Institut de Chimie de Nice), Guerin(Cognition Behaviour Technology), François Brémond(Cognition Behaviour Technology), Philippe Robert(Institut de Chimie de Nice)
Clinical Interventions in Aging
December 1, 2012
Cited by 75Open Access
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Abstract

BACKGROUND: One of the key clinical features of Alzheimer's disease (AD) is impairment in daily functioning. Patients with mild cognitive impairment (MCI) also commonly have mild problems performing complex tasks. Information and communication technology (ICT), particularly techniques involving imaging and video processing, is of interest in order to improve assessment. The overall aim of this study is to demonstrate that it is possible using a video monitoring system to obtain a quantifiable assessment of instrumental activities of daily living (IADLs) in AD and in MCI. METHODS: The aim of the study is to propose a daily activity scenario (DAS) score that detects functional impairment using ICTs in AD and MCI compared with normal control group (NC). Sixty-four participants over 65 years old were included: 16 AD matched with 10 NC for protocol 1 (P1) and 19 MCI matched with 19 NC for protocol 2 (P2). Each participant was asked to undertake a set of daily tasks in the setting of a "smart home" equipped with two video cameras and everyday objects for use in activities of daily living (8 IADLs for P1 and 11 for P2, plus 4 temporal execution constraints). The DAS score was then computed from quantitative and qualitative parameters collected from video recordings. RESULTS: In P1, the DAS score differentiated AD (DAS(AD,P1) = 0.47, 95% confidence interval [CI] 0.38-0.56) from NC (DAS(NC,P1) = 0.71, 95% CI 0.68-0.74). In P2, the DAS score differentiated MCI (DAS(MCI,P2) = 0.11, 95% CI 0.05-0.16) and NC (DAS(NC,P2) = 0.36, 95% CI 0.26-0.45). CONCLUSION: In conclusion, this study outlines the interest of a novel tool coming from the ICT world for the assessment of functional impairment in AD and MCI. The derived DAS scores provide a pragmatic, ecological, objective measurement which may improve the prediction of future dementia, be used as an outcome measurement in clinical trials and lead to earlier therapeutic intervention.


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