Improved Parkinsonian tremor quantification based on automatic label modification and SVM with RBF kernel.

Li, Yumin; Wang, Zengwei; Dai, Houde

Li, Yumin; Wang, Zengwei; Dai, Houde.

Afiliación

Li Y; Lanzhou Jiaotong University, Lanzhou 730070, People's Republic of China.
Wang Z; Quanzhou Institute of Equipment Manufacturing, Fujian Institute of Research on the Structure of Matter, Chinese Academy of Sciences, Jinjiang 362216, People's Republic of China.
Dai H; Quanzhou Institute of Equipment Manufacturing, Fujian Institute of Research on the Structure of Matter, Chinese Academy of Sciences, Jinjiang 362216, People's Republic of China.

Physiol Meas ; 44(2)2023 02 20.

Article en En | MEDLINE | ID: mdl-36735971

Asunto(s)

Enfermedad de Parkinson; Temblor; Humanos; Temblor/diagnóstico; Máquina de Vectores de Soporte; Enfermedad de Parkinson/diagnóstico; Algoritmos; Aprendizaje Automático

Palabras clave

Parkinson's disease; accelerometer; interquartile range; motor symptom; support vector machine; tremor quantification

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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Enfermedad de Parkinson / Temblor Tipo de estudio: Diagnostic_studies / Guideline / Prognostic_studies Límite: Humans Idioma: En Revista: Physiol Meas Asunto de la revista: BIOFISICA / ENGENHARIA BIOMEDICA / FISIOLOGIA Año: 2023 Tipo del documento: Article

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