Artificial intelligence in neurodegenerative diseases: A review of available tools with a focus on machine learning techniques
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 …
recent years. A significant amount of research has been conducted to characterize these …
Clinical measures of bulbar dysfunction in ALS
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 …
significantly impacts survival and quality of life. Speech and swallowing dysfunction are key …
Multimodal technologies for remote assessment of neurological and mental health
V Ramanarayanan - Journal of Speech, Language, and Hearing …, 2024 - pubs.asha.org
Purpose: Automated remote assessment and monitoring of patients' neurological and
mental health is increasingly becoming an essential component of the digital clinic and …
mental health is increasingly becoming an essential component of the digital clinic and …
A deep multiscale spatiotemporal network for assessing depression from facial dynamics
Recently, deep learning models have been successfully employed in many video-based
affective computing applications (eg, detecting pain, stress, and Alzheimer's disease). One …
affective computing applications (eg, detecting pain, stress, and Alzheimer's disease). One …
Decoding of facial strains via conformable piezoelectric interfaces
Devices that facilitate nonverbal communication typically require high computational loads
or have rigid and bulky form factors that are unsuitable for use on the face or on other …
or have rigid and bulky form factors that are unsuitable for use on the face or on other …
Toward an automatic system for computer-aided assessment in facial palsy
Importance: Quantitative assessment of facial function is challenging, and subjective grading
scales such as House–Brackmann, Sunnybrook, and eFACE have well-recognized …
scales such as House–Brackmann, Sunnybrook, and eFACE have well-recognized …
Multimodal speech biomarkers for remote monitoring of ALS disease progression
Amyotrophic lateral sclerosis (ALS) is a progressive neurodegenerative disease that
severely impacts affected persons' speech and motor functions, yet early detection and …
severely impacts affected persons' speech and motor functions, yet early detection and …
A new dataset for facial motion analysis in individuals with neurological disorders
We present the first public dataset with videos of oro-facial gestures performed by
individuals with oro-facial impairment due to neurological disorders, such as amyotrophic …
individuals with oro-facial impairment due to neurological disorders, such as amyotrophic …
[HTML][HTML] A store-and-forward cloud-based telemonitoring system for automatic assessing dysarthria evolution in neurological diseases from video-recording analysis
Background and objectives: Patients suffering from neurological diseases may develop
dysarthria, a motor speech disorder affecting the execution of speech. Close and …
dysarthria, a motor speech disorder affecting the execution of speech. Close and …
Algorithmic bias in clinical populations—evaluating and improving facial analysis technology in older adults with dementia
The need for the automated facial expression analysis arises in various clinical settings
involving mental and physical health assessment of older adults. However, the effect of age …
involving mental and physical health assessment of older adults. However, the effect of age …