Advances in Parkinson's disease detection and assessment using voice and speech: A review of the articulatory and phonatory aspects

L Moro-Velazquez, JA Gomez-Garcia… - … Signal Processing and …, 2021 - Elsevier
Parkinson's Disease (PD) affects speech in the form of dysphonia and hypokinetic
dysarthria. Multiple studies have evaluated PD's influence on different aspects of speech …

Parkinson's disease: Cause factors, measurable indicators, and early diagnosis

S Bhat, UR Acharya, Y Hagiwara, N Dadmehr… - Computers in biology …, 2018 - Elsevier
Parkinson's disease (PD) is a neurodegenerative disease of the central nervous system
caused due to the loss of dopaminergic neurons. It is classified under movement disorder as …

Detecting Parkinson's disease with sustained phonation and speech signals using machine learning techniques

JS Almeida, PP Rebouças Filho, T Carneiro… - Pattern Recognition …, 2019 - Elsevier
This study investigates the processing of voice signals for detecting Parkinson's disease.
This disease is one of the neurological disorders that affect people in the world most. The …

Multimodal assessment of Parkinson's disease: a deep learning approach

JC Vásquez-Correa, T Arias-Vergara… - IEEE journal of …, 2018 - ieeexplore.ieee.org
Parkinson's disease is a neurodegenerative disorder characterized by a variety of motor
symptoms. Particularly, difficulties to start/stop movements have been observed in patients …

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 …

Cognitive determinants of dysarthria in Parkinson's disease: an automated machine learning approach

AM García, T Arias‐Vergara… - Movement …, 2021 - Wiley Online Library
ABSTRACT Background Dysarthric symptoms in Parkinson's disease (PD) vary greatly
across cohorts. Abundant research suggests that such heterogeneity could reflect subject …

Non-negative matrix factorization-based time-frequency feature extraction of voice signal for Parkinson's disease prediction

B Karan, SS Sahu, JR Orozco-Arroyave… - Computer Speech & …, 2021 - Elsevier
Parkinson's disease (PD) is a neuron related disorder that affects the people in old age. The
majority of people suffering from PD develop several voice impairments mainly related to …

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 …

[HTML][HTML] Use of radiomic features and support vector machine to distinguish Parkinson's disease cases from normal controls

Y Wu, JH Jiang, L Chen, JY Lu, JJ Ge… - Annals of …, 2019 - ncbi.nlm.nih.gov
Background Parkinson's disease (PD) is an irreversible neurodegenerative disease. The
diagnosis of PD based on neuroimaging is usually with low-level or deep learning features …

Hilbert spectrum analysis for automatic detection and evaluation of Parkinson's speech

B Karan, SS Sahu, JR Orozco-Arroyave… - … Signal Processing and …, 2020 - Elsevier
Parkinson's disease (PD) is a progressive neurological disorder that mainly affects people in
old age. Abnormality in the speech signals has been reported as a biomarker to detect PD …