Artificial intelligence in neurodegenerative diseases: A review of available tools with a focus on machine learning techniques

AM Tăuţan, B Ionescu, E Santarnecchi - Artificial intelligence in medicine, 2021 - Elsevier
Neurodegenerative diseases have shown an increasing incidence in the older population in
recent years. A significant amount of research has been conducted to characterize these …

Clinical measures of bulbar dysfunction in ALS

Y Yunusova, EK Plowman, JR Green, C Barnett… - Frontiers in …, 2019 - frontiersin.org
Bulbar impairment represents a hallmark feature of Amyotrophic Lateral Sclerosis (ALS) that
significantly impacts survival and quality of life. Speech and swallowing dysfunction are key …

Biomedical signals and machine learning in amyotrophic lateral sclerosis: a systematic review

F Fernandes, I Barbalho, D Barros, R Valentim… - Biomedical engineering …, 2021 - Springer
Introduction The use of machine learning (ML) techniques in healthcare encompasses an
emerging concept that envisages vast contributions to the tackling of rare diseases. In this …

Voice analysis for neurological disorder recognition–a systematic review and perspective on emerging trends

P Hecker, N Steckhan, F Eyben, BW Schuller… - Frontiers in Digital …, 2022 - frontiersin.org
Quantifying neurological disorders from voice is a rapidly growing field of research and
holds promise for unobtrusive and large-scale disorder monitoring. The data recording setup …

Wearable sensors and features for diagnosis of neurodegenerative diseases: A systematic review

H Zhao, J Cao, J Xie, WH Liao, Y Lei, H Cao… - Digital …, 2023 - journals.sagepub.com
Objective Neurodegenerative diseases affect millions of families around the world, while
various wearable sensors and corresponding data analysis can be of great support for …

Body language analysis in healthcare: an overview

R Abdulghafor, S Turaev, MAH Ali - Healthcare, 2022 - mdpi.com
Given the current COVID-19 pandemic, medical research today focuses on epidemic
diseases. Innovative technology is incorporated in most medical applications, emphasizing …

[PDF][PDF] Automatic Early Detection of Amyotrophic Lateral Sclerosis from Intelligible Speech Using Convolutional Neural Networks.

KH An, MJ Kim, K Teplansky, JR Green… - Interspeech, 2018 - researchgate.net
Amyotrophic lateral sclerosis (ALS) is a rapidly progressive neurodegenerative disease of
the motor system that leads to the impairment of speech and swallowing functions. The lack …

Detection of amyotrophic lateral sclerosis (ALS) via acoustic analysis

R Norel, M Pietrowicz, C Agurto, S Rishoni, G Cecchi - bioRxiv, 2018 - biorxiv.org
ABSTRACT ALS is a fatal neurodegenerative disease with no cure. Experts typically
measure disease progression via the ALSFRS-R score, which includes measurements of …

Quantifying articulatory impairments in neurodegenerative motor diseases: A scoping review and meta-analysis of interpretable acoustic features

HP Rowe, S Shellikeri, Y Yunusova… - … Journal of Speech …, 2023 - Taylor & Francis
Abstract Purpose Neurodegenerative motor diseases (NMDs) have devastating effects on
the lives of patients and their loved ones, in part due to the impact of neurologic …

The use of speech recognition technology by people living with amyotrophic lateral sclerosis: a scoping review

R Cave, S Bloch - Disability and Rehabilitation: Assistive …, 2023 - Taylor & Francis
Background More than 80% of people living with Amyotrophic Lateral Sclerosis (plwALS)
develop difficulties with their speech, affecting communication, self-identity and quality of life …