This research is a discriminative analysis of conversational dialogues involving individuals
suffering from dementia of Alzheimer's type. Several metric analyses are applied to the …

This research is a discriminative analysis of conversational dialogs involving individuals
suffering from dementia of Alzheimer's type. Several metric analyses are applied to the …

A method for detection of Alzheimers type dementia though analysis of vocalisation features
that can be easily extracted from spontaneous speech is presented. Unlike existing …

Automatic monitoring of the patients with Alzheimer's disease and diagnosis of the disease
in early stages can have a significant impact on the society. Here, we investigate an …

Alzheimer's disease (AD) is a neurodegenerative disease characterized by the insidious
onset of cognitive, emotional and language disorders. These attacks are sufficiently intense …

This Signal Processing Grand Challenge (SPGC) targets a difficult automatic prediction
problem of societal and medical relevance, namely, the detection of Alzheimer's Dementia …

This paper describes a benchmark study for a lightweight and low-cost dementia screening
tool. The tool is easy to administer, requires no additional experimentation material, and …

This study investigates the deteriorating speech signal of people suffering from Alzheimer's
disease (AD). The aim is to firstly predict a common clinical examination score used for …

In the present study, we analyzed written samples obtained from Greek native speakers
diagnosed with Alzheimer's in mild and moderate stages and from age-matched cognitively …

Mild Cognitive Impairment (MCI) is the intermediate stage between ageing and possible
dementia. 50\% of people with MCI may progress to dementia (prodromal Alzheimer's …