Electroencephalogram-Driven Machine-Learning Scenario for Assessing Impulse Control Disorder Comorbidity in Parkinson's Disease Using a Low-Cost, Custom LEGO-Like Headset.

Lin, Wei-Che; Chen, Wei-Jen; Chen, Yueh-Sheng; Liang, Hsing-Yi; Lu, Cheng-Hsien; Lin, Yuan-Pin

Lin, Wei-Che; Chen, Wei-Jen; Chen, Yueh-Sheng; Liang, Hsing-Yi; Lu, Cheng-Hsien; Lin, Yuan-Pin.

IEEE Trans Neural Syst Rehabil Eng ; 31: 4106-4114, 2023.

Article in En | MEDLINE | ID: mdl-37819826

Subject(s)

Disruptive, Impulse Control, and Conduct Disorders; Parkinson Disease; Humans; Parkinson Disease/complications; Parkinson Disease/diagnosis; Parkinson Disease/epidemiology; Disruptive, Impulse Control, and Conduct Disorders/diagnosis; Disruptive, Impulse Control, and Conduct Disorders/epidemiology; Dopamine Agonists/therapeutic use; Machine Learning; Electroencephalography

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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Parkinson Disease / Disruptive, Impulse Control, and Conduct Disorders Type of study: Health_economic_evaluation Limits: Humans Language: En Journal: IEEE Trans Neural Syst Rehabil Eng Journal subject: ENGENHARIA BIOMEDICA / REABILITACAO Year: 2023 Type: Article

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