[HTML][HTML] Applied machine learning techniques to diagnose voice-affecting conditions and disorders: Systematic literature review
Background Normal voice production depends on the synchronized cooperation of multiple
physiological systems, which makes the voice sensitive to changes. Any systematic …
physiological systems, which makes the voice sensitive to changes. Any systematic …
Machine learning techniques for develo** remotely monitored central nervous system biomarkers using wearable sensors: a narrative literature review
Background: Central nervous system (CNS) disorders benefit from ongoing monitoring to
assess disease progression and treatment efficacy. Mobile health (mHealth) technologies …
assess disease progression and treatment efficacy. Mobile health (mHealth) technologies …
[HTML][HTML] Clinical Decision Support Using Speech Signal Analysis: Systematic Sco** Review of Neurological Disorders
Background Digital biomarkers are increasingly used in clinical decision support for various
health conditions. Speech features as digital biomarkers can offer insights into underlying …
health conditions. Speech features as digital biomarkers can offer insights into underlying …
Leveraging Deep Learning for Fine-Grained Categorization of Parkinson's Disease Progression Levels through Analysis of Vocal Acoustic Patterns
Speech impairments often emerge as one of the primary indicators of Parkinson's disease
(PD), albeit not readily apparent in its early stages. While previous studies focused …
(PD), albeit not readily apparent in its early stages. While previous studies focused …
A pilot study for speech assessment to detect the severity of Parkinson's disease: An ensemble approach
Background: Changes in voice are a symptom of Parkinson's disease and used to assess
the progression of the condition. However, natural differences in the voices of people can …
the progression of the condition. However, natural differences in the voices of people can …
Voice-based SVM Model Reliability for Identifying Parkinson's Disease
One of the possibilities for develo** non-invasive computerized diagnostic tools for
Parkinson's disease (PD) is to detect changes in the voice, known as Parkinsonian …
Parkinson's disease (PD) is to detect changes in the voice, known as Parkinsonian …
Classification of Hand-Movement Disabilities in Parkinson's Disease Using a Motion-Capture Device and Machine Learning
Parkinson's disease (PD) is a neurological disorder caused by degeneration of
dopaminergic neurons in the midbrain. PD patients mainly suffer from motor symptoms …
dopaminergic neurons in the midbrain. PD patients mainly suffer from motor symptoms …
The Effectiveness of Acoustic Voice Quality Index to Identify People With Parkinson's Disease
Develo** portable computerized diagnostic tools for Parkinson's disease (PD) based on
Parkinsonian dysarthria requires identifying the voice features most sensitive to PD …
Parkinsonian dysarthria requires identifying the voice features most sensitive to PD …
[HTML][HTML] Survey of neurocognitive disorder detection methods based on speech, visual, and virtual reality technologies
T ZHENG, W **nheng, P **aolan, SU Ning… - Virtual Reality & …, 2024 - Elsevier
The global trend of population aging poses significant challenges to society and healthcare
systems, particularly because of neurocognitive disorders (NCDs) such as Parkinson's …
systems, particularly because of neurocognitive disorders (NCDs) such as Parkinson's …
Applicability of Artificial Intelligence in Smart Healthcare Systems for Automatic Detection of Parkinson's Disease
Parkinson's disease is associated with memory loss, anxiety, and depression in the brain.
Problems such as poor balance and difficulty during walking can be observed in addition to …
Problems such as poor balance and difficulty during walking can be observed in addition to …