Use este identificador para citar ou linkar para este item:
http://repositorio.ufc.br/handle/riufc/73454
Tipo: | Artigo de Periódico |
Título: | Intelligent sensory pen for aiding in the diagnosis of parkinson’s disease from dynamic handwriting analysis |
Autor(es): | Peixoto Júnior, Eugênio Delmiro, Italo Lucena Duarte Magaia, Naercio Maia, Fernanda Martins Hassan, Mohammad Mehedi Albuquerque, Victor Hugo Costa de Fortino, Giancarlo |
Palavras-chave: | Parkinson’s disease;Machine learning;Handwritten dynamics;Mal de Parkinson;Aprendizado de máquina;Dinâmica manuscrita |
Data do documento: | 2020 |
Instituição/Editor/Publicador: | Sensors |
Citação: | PEIXOTO JÚNIOR, Eugênio; DELMIRO, Italo Lucena Duarte; MAGAIA, Naercio; MAIA, Fernanda Martins; HASSAN, Mohammad Mehedi; ALBUQUERQUE, Victor Hugo Costa de; FORTINO, Giancarlo. Intelligent sensory pen for aiding in the diagnosis of parkinson’s disease from dynamic handwriting analysis. Sensors, [s.l.], v. 20, n. 20, p. 5840, 2020. |
Abstract: | In this paper, we propose a pen device capable of detecting specific features from dynamic handwriting tests for aiding on automatic Parkinson’s disease identification. The method used in this work uses machine learning to compare the raw signals from different sensors in the device coupled to a pen and extract relevant information such as tremors and hand acceleration to diagnose the patient clinically. Additionally, the datasets composed of raw signals from healthy and Parkinson’s disease patients acquired here are made available to further contribute to research related to this topic |
URI: | http://www.repositorio.ufc.br/handle/riufc/73454 |
ISSN: | 1424-8220 |
Tipo de Acesso: | Acesso Aberto |
Aparece nas coleções: | DEEL - Artigos publicados em revista científica |
Arquivos associados a este item:
Arquivo | Descrição | Tamanho | Formato | |
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2020_art_epeixotojunior.pdf | 3,26 MB | Adobe PDF | Visualizar/Abrir |
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