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.

Afiliación

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 en En | MEDLINE | ID: mdl-33266853

Palabras clave

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

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Diagnostic_studies / Prognostic_studies Idioma: En Revista: Entropy (Basel) Año: 2019 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Suiza

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