[HTML][HTML] Artificial intelligence, speech, and language processing approaches to monitoring Alzheimer's disease: a systematic review

S De la Fuente Garcia, CW Ritchie… - Journal of Alzheimer's …, 2020 - content.iospress.com
Background: Language is a valuable source of clinical information in Alzheimer's disease,
as it declines concurrently with neurodegeneration. Consequently, speech and language …

Dementia care frameworks and assistive technologies for their implementation: a review

L Koumakis, C Chatzaki, E Kazantzaki… - IEEE reviews in …, 2019 - ieeexplore.ieee.org
In this review, we focus on the various integrated care models that have been applied for the
management of dementia patients. We explore the different types of assistive technologies …

Development of digital voice biomarkers and associations with cognition, cerebrospinal biomarkers, and neural representation in early Alzheimer's disease

I Hajjar, M Okafor, JD Choi, E Moore… - Alzheimer's & …, 2023 - Wiley Online Library
Introduction Advances in natural language processing (NLP), speech recognition, and
machine learning (ML) allow the exploration of linguistic and acoustic changes previously …

Natural language processing techniques for studying language in pathological ageing: A scoping review

G Gagliardi - … Journal of Language & Communication Disorders, 2024 - Wiley Online Library
Background In the past few years there has been a growing interest in the employment of
verbal productions as digital biomarkers, namely objective, quantifiable behavioural data …

[HTML][HTML] Talk2Me: Automated linguistic data collection for personal assessment

M Komeili, C Pou-Prom, D Liaqat, KC Fraser… - PloS one, 2019 - journals.plos.org
Language is one the earliest capacities affected by cognitive change. To monitor that
change longitudinally, we have developed a web portal for remote linguistic data …

[HTML][HTML] Machine Learning Approaches for Dementia Detection Through Speech and Gait Analysis: A Systematic Literature Review

M Al-Hammadi, H Fleyeh, AC Åberg… - Journal of …, 2024 - content.iospress.com
Background: Dementia is a general term for several progressive neurodegenerative
disorders including Alzheimer's disease. Timely and accurate detection is crucial for early …

[HTML][HTML] Mild cognitive impairment prediction based on multi-stream convolutional neural networks

CC Lee, HHH Chau, HL Wang… - BMC …, 2021 - bmcbioinformatics.biomedcentral …
Mild cognitive impairment (MCI) is the transition stage between the cognitive decline
expected in normal aging and more severe cognitive decline such as dementia. The early …

Audio Analysis for Early Diagnosis of Alzheimer's Disease: A Study on Fisher's Linear Discriminant and Mel-Frequency Cepstral Coefficients

AK Sahwal, M Singh, N Kumari, K Murari… - … Conference on Recent …, 2023 - Springer
Millions of people throughout the world are afflicted by the widespread neurodegenerative
ailment known as Alzheimer's disease. Effective treatment and management of the condition …

Using Machine Learning to Detect Speech Characteristics of People with ALS

R Jansson, L Johnson - 2024 - diva-portal.org
Denna studie använder maskininlärning (ML) för att analysera talet hos personer
diagnostiserade med Amyotrofisk Lateralskleros (ALS) och lyfter de socio-ekonomiska …

Generalizable Depression Detection and Severity Prediction Using Articulatory Representations of Speech

N Seneviratne - 2022 - search.proquest.com
Abstract Major Depressive Disorder (MDD) is a mental health disorder that has taken a
massive toll on society both socially and financially. Timely diagnosis of MDD is extremely …