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Functional magnetic resonance imaging (fMRI) can generate brain images that show neuronal activity due to sensory, cognitive or motor tasks. Haemodynamic response function (HRF) may be considered as a biomarker to discriminate the Alzheimer disease (AD) from healthy ageing. As blood-oxygenation-level-dependent fMRI signal is much weak and noisy, particularly for the elderly subjects, a robust method...
We have investigated functional connectivity of the default mode network (DMN) in normal aging and Alzheimer's disease (AD) using resting state fMRI at 3T. Images from young and elderly controls, and patients with AD were processed using spatial independent component analysis to identify the DMN. Functional connectivity was quantified using integration and indices derived from graph theory. Four DMN...
Populations of healthy older individuals are often highly heterogeneous, as prevalence of various underlying pathologies increases with age. Finding coherent groups of normal older adults may allow to identify subpopulations that are at risk of developing Alzheimer's disease (AD). In this paper, we propose an approach that utilizes longitudinal magnetic resonance imaging (MRI) data to obtain natural...
This paper aims to present a novel architecture for the indoors Ambient Assisted Living domain. This domain synthesizes features from the home-based e-health and ambient intelligence scientific areas. The HERA system addresses mainly the needs of elderly in the early stages of the Alzheimer disease aiming to improve the quality of their home life and extend its duration. Other user categories are...
As the number of older people living worldwide and average life expectancy increases, the prevalence of chronic disease and age related impairments is also rising. Alzheimer's disease (AD) is one of the most common chronic diseases later in life. In order to help assist persons with AD (PwAD) on a daily basis the current work has considered the design and evaluation of a number of smartphone based...
Alzheimer's disease (AD) is considered to be a fatal neurodegenerative disease affecting many people over the age of 65. As life expectancies increase around the world, the incidence of AD also grows with it. Current research reports no effective treatment or definitive antemortem diagnostic test for AD. In recent years, a number of biomarkers have been identified for early and accurate diagnosis...
In this study, the functional magnetic resonance imaging data from Alzheimer's patients and nondemented older adults are investigated using graph theory. Voxel-based graphs were built on the data obtained from an international data center and their clustering coefficients and characteristic path lengths were calculated. No significant differences were found between the two groups in these two parameters...
Supporting ageing in place and staying at home, delaying institutionalization, lightening the caregivers' burden, improving the elderly quality of life are as many expectations that TeleHealthCare aims at coming up to. This paper proposes a method for Telemonitoring to detect abnormal changes in behavior which may lead to an early entrance in dependency. This method allows to detect and quantify a...
Alzheimer's disease (AD) is the most common cause of dementia in the elderly and affects approximately 30 million individuals worldwide. With the growth of the older population in developed nations, the prevalence of AD is expected to triple over the next 50 years while its early diagnosis remains being a difficult task. Functional imaging modalities including singlephoton emission computed tomography...
The integration of RFID sensors into everyday products has become a widespread solution for increasing efficiency in supply chain management. This has also led to a way of being able to monitor everyday activities in the home based on when and how these products are used, which is less intrusive than other monitoring approaches such as visual based systems. Monitoring activities in a home environment...
Assistive technology in smart homes for elderly people with Alzheimer's disease is needed to support 'aging in place'. In this paper, we propose a probabilistic learning approach to characterise behavioural patterns for multi-inhabitants in smart homes. Decision support is then provided to monitor and assist patients to complete activities of daily living (ADL). Reasoning is based on the learned profiles...
We developed and validated a new method to create automated 3D parametric surface models of the lateral ventricles, designed for monitoring degenerative disease effects in clinical neuroscience studies and drug trials. First we used a set of parameterized surfaces to represent the ventricles in a manually labeled set of 9 subjects' MRIs (atlases). We fluidly registered each of these atlases and mesh...
Our societies are currently facing the increase of aged in the population. More and more elderly people suffer from the Alzheimer's disease. In order to reduce the cost for caring these elders, to let these elders foster automatically, smart home (intelligent health home) is proposed as a recency solution. This paper presents that EpiTalk advisor system assists the cognitive impaired elder to complete...
With the number of the elderly population affected by Alzheimer's disease (AD) rising, the need to find an accurate, inexpensive and non-intrusive procedure that can be made available to community healthcare providers for early diagnosis of Alzheimer's disease is becoming more and more urgent as a major health concern. Several recent studies have looked at analyzing electroencephalogram signals through...
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