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    Detalhes

    Detalhes

    • Nome

      Bruno Fonseca Coelho

    • Cargo

      Assistente de Investigação

    • Desde

      15 maio 2023
    Publicações
    Ler todas as publicações

    2024

    On the feasibility of Vis–NIR spectroscopy and machine learning for real time SARS-CoV-2 detection

    Autores
    Coelho, BFO; Nunes, SLP; de França, CA; Costa, DdS; do Carmo, RF; Prates, RM; Filho, EFS; Ramos, RP;

    Publicação
    Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy

    Abstract

    2024

    Feature Extraction from EEG signals for detection of Parkinsons Disease

    Autores
    Souza, C; Viana, G; Coelho, B; Massaranduba, AB; Ramos, R;

    Publicação
    Anais do XVI Congresso Brasileiro de Inteligência Computacional

    Abstract
    The Electroencephalogram (EEG) is a medical tool that captures, in a non-invasive way, electrical signals from the brain activities performed by neurons. EEG signals have been the target of study as a biomarker of Parkinsons disease (PD), where several methods of analysis are applied. The present work aims to evaluate features extracted from EEG signals, through methodologies such as HOS, Haralick descriptors, and Fractal Features, as new biomarkers for PD identification. Data from 50 individuals, available at the Open Neuro repository, who underwent an attentional cognitive task were analyzed. RF and SVM algorithms were employed for the classification of the extracted features. The best accuracy achieved was 79.49% in differentiating between Parkinsons subjects and control subjects using Haralick descriptors and RF classifier, suggesting that these features can identify activations in brain areas caused by dopaminergic medication.

    FecharLer Abstract

    2023

    Discrete Representation of Photovoltaic Modules

    Autores
    Massaranduba, AB; Coelho, B; Machado, E; Silva, E; Pinto, A;

    Publicação
    IEEE Latin America Transactions

    Abstract

    2023

    Parkinson’s disease effective biomarkers based on Hjorth features improved by machine learning

    Autores
    Coelho, BFO; Massaranduba, ABR; Souza, CAdS; Viana, GG; Brys, I; Ramos, RP;

    Publicação
    Expert Systems with Applications

    Abstract

    2023

    Artifact removal for emotion recognition using mutual information and Epanechnikov kernel

    Autores
    Grilo, M; Moraes, CP; Oliveira Coelho, BF; Massaranduba, ABR; Fantinato, D; Ramos, RP; Neves, A;

    Publicação
    Biomedical Signal Processing and Control

    Abstract