A Diadochokinesis-based expert system considering articulatory features of plosive consonants for early detection of Parkinson's disease.
Comput Methods Programs Biomed
; 154: 89-97, 2018 Feb.
Article
em En
| MEDLINE
| ID: mdl-29249350
ABSTRACT
BACKGROUND AND OBJECTIVE:
A new expert system is proposed to discriminate healthy people from people with Parkinson's Disease (PD) in early stages by using Diadochokinesis tests.METHODS:
The system is based on temporal and spectral features extracted from the Voice Onset Time (VOT) segments of /ka/ syllables, whose boundaries are delimited by a novel algorithm. For comparison purposes, the approach is applied also to /pa/ and /ta/ syllables. In order to develop and validate the system, a voice recording database composed of 27 individuals diagnosed with PD and 27 healthy controls has been collected. This database reflects an average disease stage of 1.85⯱â¯0.55 according to Hoehn and Yahr scale. System design is based on feature extraction, feature selection and Support Vector Machine learning.RESULTS:
The novel VOT algorithm, based on a simple and computationally efficient approach, demonstrates accurate estimation of VOT boundaries on /ka/ syllables for both healthy and PD-affected speakers. The PD detection approach based on /k/ plosive consonant achieves the highest discrimination capability (92.2% using 10-fold cross-validation and 94.4% in the case of leave-one-out method) in comparison to the corresponding versions based on the other two plosives (/p/ and /t/).CONCLUSION:
A high accuracy has been obtained on a database with a lower average disease stage than previous articulatory databases presented in the literature.Palavras-chave
Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Doença de Parkinson
/
Acústica da Fala
/
Voz
/
Sistemas Inteligentes
Tipo de estudo:
Diagnostic_studies
/
Observational_studies
/
Screening_studies
Limite:
Aged
/
Aged80
/
Female
/
Humans
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Male
/
Middle aged
Idioma:
En
Ano de publicação:
2018
Tipo de documento:
Article