New era of artificial intelligence and machine learning-based detection, diagnosis, and therapeutics in Parkinson's disease

R Gupta, S Kumari, A Senapati, RK Ambasta… - Ageing research …, 2023 - Elsevier
Parkinson's disease (PD) is characterized by the loss of neuronal cells, which leads to
synaptic dysfunction and cognitive defects. Despite the advancements in treatment …

[HTML][HTML] Applied machine learning techniques to diagnose voice-affecting conditions and disorders: Systematic literature review

A Idrisoglu, AL Dallora, P Anderberg… - Journal of Medical Internet …, 2023 - jmir.org
Background Normal voice production depends on the synchronized cooperation of multiple
physiological systems, which makes the voice sensitive to changes. Any systematic …

Computerized analysis of speech and voice for Parkinson's disease: A systematic review

QC Ngo, MA Motin, ND Pah, P Drotár… - Computer Methods and …, 2022 - Elsevier
Background and objective Speech impairment is an early symptom of Parkinson's disease
(PD). This study has summarized the literature related to speech and voice in detecting PD …

A voice feature extraction method based on fractional attribute topology for Parkinson's disease detection

T Zhang, L Lin, Z Xue - Expert systems with applications, 2023 - Elsevier
Parkinson's disease (PD) is a common neurodegenerative disease that seriously affects the
health and daily life of patients. Dysphonia is one of the early symptoms of PD and extracting …

Machine learning-and statistical-based voice analysis of Parkinson's disease patients: A survey

F Amato, G Saggio, V Cesarini, G Olmo… - Expert Systems with …, 2023 - Elsevier
The preliminary diagnosis and evaluation of the presence and/or severity of Parkinson's
disease is crucial in controlling the progress of the disease. Real-time, non-invasive …

Machine-learning classification with additivity and diverse multifractal pathways in multiplicativity

M Mangalam, H Seckler, DG Kelty-Stephen - Physical Review Research, 2024 - APS
Evidence of multifractal structures has spread to a wider set of physiological time series
supporting the intricate interplay of biological and psychological functioning. These …

Assessment tasks and virtual exergames for remote monitoring of Parkinson's disease: An integrated approach based on Azure Kinect

G Amprimo, G Masi, L Priano, C Azzaro, F Galli… - Sensors, 2022 - mdpi.com
Motor impairments are among the most relevant, evident, and disabling symptoms of
Parkinson's disease that adversely affect quality of life, resulting in limited autonomy …

Voice feature description of Parkinson's disease based on co-occurrence direction attribute topology

T Zhang, L Lin, J Tian, Z Xue, X Guo - Engineering Applications of Artificial …, 2023 - Elsevier
The incipient diagnosis of Parkinson's disease (PD) helps to control the disease as early as
possible and dysphonia is one of the early symptoms of PD. Therefore, the construction of …

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 …

Innovative Speech-Based Deep Learning Approaches for Parkinson's Disease Classification: A Systematic Review

L van Gelderen, C Tejedor-García - arXiv preprint arXiv:2407.17844, 2024 - arxiv.org
Parkinson's disease (PD), the second most prevalent neurodegenerative disorder
worldwide, frequently presents with early-stage speech impairments. Recent advancements …