Entropy-Based Machine Learning Model for Fast Diagnosis and Monitoring of Parkinson's Disease.

Belyaev, Maksim; Murugappan, Murugappan; Velichko, Andrei; Korzun, Dmitry

Belyaev, Maksim; Murugappan, Murugappan; Velichko, Andrei; Korzun, Dmitry.

Afiliación

Belyaev M; Institute of Physics and Technology, Petrozavodsk State University, 185910 Petrozavodsk, Russia.
Murugappan M; Intelligent Signal Processing (ISP) Research Lab, Department of Electronics and Communication Engineering, Kuwait College of Science and Technology, Block 4, Kuwait City 13133, Kuwait.
Velichko A; Department of Electronics and Communication Engineering, Faculty of Engineering, Vels Institute of Sciences, Technology, and Advanced Studies, Chennai 600117, India.
Korzun D; Centre of Excellence for Unmanned Aerial Systems (CoEUAS), Universiti Malaysia Perlis, Arau 02600, Perlis, Malaysia.

Sensors (Basel) ; 23(20)2023 Oct 20.

Article en En | MEDLINE | ID: mdl-37896703

Asunto(s)

Enfermedad de Parkinson; Humanos; Enfermedad de Parkinson/diagnóstico; Entropía; Electroencefalografía/métodos; Aprendizaje Automático; Máquina de Vectores de Soporte

Palabras clave

EEG; Parkinson's disease; diagnosis; edge device; entropy; human resilience; machine learning; monitoring; smart IoT environment

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Enfermedad de Parkinson Límite: Humans Idioma: En Revista: Sensors (Basel) Año: 2023 Tipo del documento: Article País de afiliación: Rusia Pais de publicación: Suiza

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