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Universidade Federal de Uberlândia: Repositório Institucional UFU
Thesis . 2017
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Doctoral thesis
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Presentation . 2019
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Presentation . 2019
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Other literature type . 2019
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Doctoral thesis . 2020 . Peer-reviewed
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Visualização e classificação de características para a discriminação entre indivíduos com a doença de Parkinson submetidos a tratamento com Levodopa e estimulação profunda do cérebro

descriptionPublicationkeyboard_double_arrow_right Doctoral thesis , Presentation , Other literature type , Thesis 28 May 2020 Brazil Publisher:EDUFU - Editora da Universidade Federal de Uberlandia
Authors: Machado, Alessandro Ribeiro de Pádua;

doi: 10.14393/ufu.te.2017.49 , 10.5281/zenodo.3560214 , 10.5281/zenodo.3560215

Visualização e classificação de características para a discriminação entre indivíduos com a doença de Parkinson submetidos a tratamento com Levodopa e estimulação profunda do cérebro

Abstract

Apresentação de um método que busca definir uma classificação automática entre os grupos de sujeitos com DP tratados com medicamento e com neuroestimulador e os sujeitos saudáveis.

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Brazil
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Keywords

Levodopa, Eletromiografia, Electromyography, Deep Brain Stimulation, Sensores inerciais, Parkinson’s disease, CNPQ::ENGENHARIAS::ENGENHARIA ELETRICA, Parkinson, Inertial sensors, Doença de, Estimulação Profunda do Cérebro, Engenharia elétrica

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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