Automatic and early detection of Parkinson's disease by analyzing acoustic signals using classification algorithms based on recursive feature elimination method
Parkinson's disease (PD) is a neurodegenerative condition generated by the dysfunction of
brain cells and their 60–80% inability to produce dopamine, an organic chemical …
brain cells and their 60–80% inability to produce dopamine, an organic chemical …
The detection of Parkinson disease using the genetic algorithm and SVM classifier
The speech signal is like the black box of human beings where much information is hidden.
The treatment of this signal provides us with the speaker's identity. In a way, it is similar to an …
The treatment of this signal provides us with the speaker's identity. In a way, it is similar to an …
[PDF][PDF] A novel approach for Parkinson's disease detection based on voice classification and features selection techniques
Parkinson's disease (PD) is one of the most widespread diseases that, primarily, affects the
motor system of the neural central system. In fact, PD is characterized by tremors, stiffness of …
motor system of the neural central system. In fact, PD is characterized by tremors, stiffness of …
A new hybrid intelligent system for accurate detection of Parkinson's disease
Elderly people are commonly affected by Parkinson's disease (PD) which is one of the most
common neurodegenerative disorders due to the loss of dopamine-producing brain cells …
common neurodegenerative disorders due to the loss of dopamine-producing brain cells …
Machine learning techniques for voice-based early detection of Parkinson's disease
Neurodegenerative, progressive diseases having multiple motor and non-motor
characteristics are mainly associated with Parkinson's disease (PD). A person suffering from …
characteristics are mainly associated with Parkinson's disease (PD). A person suffering from …
Automatic Parkinson's disease detection based on the combination of long-term acoustic features and Mel frequency cepstral coefficients (MFCC)
S Hawi, J Alhozami, R AlQahtani, D AlSafran… - … Signal Processing and …, 2022 - Elsevier
In recent years, acoustic signals have found increasing popularity among the scientific
community as biomarkers for detecting Parkinson's disease. Literature highlights that 90% of …
community as biomarkers for detecting Parkinson's disease. Literature highlights that 90% of …
An efficient machine learning approach for diagnosing parkinson's disease by utilizing voice features
Parkinson's disease (PD) is a neurodegenerative disease that impacts the neural,
physiological, and behavioral systems of the brain, in which mild variations in the initial …
physiological, and behavioral systems of the brain, in which mild variations in the initial …
An analysis of vocal features for Parkinson's disease classification using evolutionary algorithms
Parkinson's Disease (PD) is a brain disorder that causes uncontrollable movements.
According to estimation, roughly ten million individuals worldwide have had or are …
According to estimation, roughly ten million individuals worldwide have had or are …
Automated detection of Parkinson's disease based on multiple types of sustained phonations using linear discriminant analysis and genetically optimized neural …
Objective: Parkinson's disease (PD) is a serious neurodegenerative disorder. It is reported
that most of PD patients have voice impairments. But these voice impairments are not …
that most of PD patients have voice impairments. But these voice impairments are not …
[HTML][HTML] Speech analysis for diagnosis of Parkinson's disease using genetic algorithm and support vector machine
M Shahbakhi, DT Far, E Tahami - Journal of biomedical science and …, 2014 - scirp.org
Parkinson's disease (PD) is the most common disease of motor system degeneration that
occurs when the dopamine-producing cells are damaged in substantia nigra. To detect PD …
occurs when the dopamine-producing cells are damaged in substantia nigra. To detect PD …
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