Hybrid Feature Extraction for Detection of Degree of Motor Fluctuation Severity in Parkinson's Disease Patients.

Hssayeni, Murtadha D; Jimenez-Shahed, Joohi; Ghoraani, Behnaz

Hssayeni, Murtadha D; Jimenez-Shahed, Joohi; Ghoraani, Behnaz.

Afiliação

Hssayeni MD; Department of Computer and Electrical Engineering and Computer Science, Florida Atlantic University, Boca Raton, FL 33431, USA.
Jimenez-Shahed J; Department of Neurology, Baylor College of Medicine, Houston, TX 77030, USA.
Ghoraani B; Department of Computer and Electrical Engineering and Computer Science, Florida Atlantic University, Boca Raton, FL 33431, USA.

Entropy (Basel) ; 21(2)2019 Feb 01.

Article em En | MEDLINE | ID: mdl-33266853

Palavras-chave

Parkinson's disease; hybrid feature extraction; machine learning; motor fluctuation; random forest decision trees; self-organizing tree map; wearable sensors

Texto completo

Imprimir

XML

PubMed Links

Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies / Prognostic_studies Idioma: En Ano de publicação: 2019 Tipo de documento: Article

Texto completo

Imprimir

XML

PubMed Links

Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies / Prognostic_studies Idioma: En Ano de publicação: 2019 Tipo de documento: Article