The objective of this paper is to present the state of-the-art relating to automatic speech and
voice analysis techniques as applied to the monitoring of patients suffering from Alzheimer's …

Background: The field of voice and speech analysis has become increasingly popular over
the last 10 years, and articles on its use in detecting neurodegenerative diseases have …

Objective: Nowadays proper detection of cognitive impairment has become a challenge for
the scientific community. Alzheimer's Disease (AD), the most common cause of dementia …

Background: Alzheimer's disease (AD) has paramount importance due to its rising
prevalence, the impact on the patient and society, and the related healthcare costs …

Alzheimer's disease (AD) is a neurodegenerative disorder that develops for years before
clinical manifestation, while mild cognitive impairment is clinically considered as a …

Abstract According to the World Health Organization, the number of people suffering from
dementia worldwide will grow to 150 million by mid-century, and Alzheimer's disease is the …

This paper describes a study of a protocol and a system for automatic detection and status
tracking of early-stage dementia and Mild Cognitive Impairment (MCI), from speech and …

Alzheimer's disease (AD) is the most prevalent form of progressive degenerative dementia; it
has a high socioeconomic impact in Western countries. Therefore, it is one of the most active …

Almost 50 million people are living with dementia in 2018 worldwide, and the number will
double every 20 years. The effectiveness of existing pharmacologic treatments for the …

Background: Various types of dementia and Mild Cognitive Impairment (MCI) are manifested
as irregularities in human speech and language, which have proven to be strong predictors …