Voiceprints analysis using MFCC and SVM for detecting patients with Parkinson's disease
Parkinson's disease (PD) is a neurodegenerative disorder of unknown etiology. PD patients
suffer from hypokinetic dysarthria, which manifests on all aspects of voice production …
suffer from hypokinetic dysarthria, which manifests on all aspects of voice production …
A supervised machine learning approach using different feature selection techniques on voice datasets for prediction of Parkinson's disease
Among the neurological diseases, parkinson's disease is the second most common disease,
which affect the old age people over the age of 65 year. It is also mentioned that the number …
which affect the old age people over the age of 65 year. It is also mentioned that the number …
[HTML][HTML] Technologies for assessment of motor disorders in Parkinson's disease: a review
Parkinson's Disease (PD) is characterized as the commonest neurodegenerative illness that
gradually degenerates the central nervous system. The goal of this review is to come out …
gradually degenerates the central nervous system. The goal of this review is to come out …
Voice-based detection of Parkinson's disease through ensemble machine learning approach: A Performance study
INTRODUCTION: Parkinson's disease (PD) occurs due to the deficiency of dopamine that
regulates various activities of the human body. Researchers have identified that voice is an …
regulates various activities of the human body. Researchers have identified that voice is an …
Analysis of multiple types of voice recordings in cepstral domain using MFCC for discriminating between patients with Parkinson's disease and healthy people
In this study, we wanted to discriminate between two groups of people. The database used
in this study contains 20 patients with Parkinson's disease (PD) and 20 healthy people …
in this study contains 20 patients with Parkinson's disease (PD) and 20 healthy people …
Estimation of Parkinson's disease severity using speech features and extreme gradient boosting
In recent years, there is an increasing interest in building e-health systems. The systems
built to deliver the health services with the use of internet and communication technologies …
built to deliver the health services with the use of internet and communication technologies …
Advances in detecting Parkinson's disease
PF Guo, P Bhattacharya, N Kharma - … ICMB 2010, Hong Kong, China, June …, 2010 - Springer
Diagnosing disordered subjects is of considerable importance in medical biometrics. In this
study, aimed to provide medical decision boundaries for detecting Parkinson's disease (PD) …
study, aimed to provide medical decision boundaries for detecting Parkinson's disease (PD) …
Glottal source analysis of voice deficits in newly diagnosed drug-naïve patients with Parkinson's disease: correlation between acoustic speech characteristics and non …
As dysphonia is assumed to be the most prevalent feature of hypokinetic dysarthria in
Parkinson's disease (PD), several acoustic approaches have been introduced for its …
Parkinson's disease (PD), several acoustic approaches have been introduced for its …
An Efficient Diagnosis System for Parkinson's Disease Using Kernel‐Based Extreme Learning Machine with Subtractive Clustering Features Weighting Approach
C Ma, J Ouyang, HL Chen… - … mathematical methods in …, 2014 - Wiley Online Library
A novel hybrid method named SCFW‐KELM, which integrates effective subtractive
clustering features weighting and a fast classifier kernel‐based extreme learning machine …
clustering features weighting and a fast classifier kernel‐based extreme learning machine …
Machine learning approaches for detection and diagnosis of Parkinson's disease-a review
Parkinson's disease (PD) is disabling disease that affects the quality of life. It belimps due to
the death of cells that produce dopamine's in the substantia nigra part of the central nervous …
the death of cells that produce dopamine's in the substantia nigra part of the central nervous …