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1.
Comput Methods Biomech Biomed Engin ; 26(11): 1237-1249, 2023 Sep.
Artigo em Inglês | MEDLINE | ID: mdl-35983784

RESUMO

Electroencephalography (EEG) is a complex signal that may require several years of training, advanced signal processing, and feature extraction methodologies to interpret correctly. Recently, many methods have been used to extract and classify EEG data. This study reviews 62 papers that used EEG signals to detect driver drowsiness, published between January 2018 and 2022. We extract trends and highlight interesting approaches from this large body of literature to inform future research and formulate recommendations. To find relevant papers published in scientific journals, conferences, and electronic preprint repositories, researchers searched major databases covering the domains of science and engineering. For each investigation, many data items about (1) the data, (2) the channels used, (3) the extraction and classification procedure, and (4) the outcomes were extracted. These items were then analyzed one by one to uncover trends. Our analysis reveals that the amount of EEG data used across studies varies. We saw that more than half the studies used simulation driving experimental. About 21% of the studies used support vector machine (SVM), while 19% used convolutional neural networks (CNN). Overall, we can conclude that drowsiness and fatigue impair driving performance, resulting in drivers who are more exposed to risky situations.


Assuntos
Eletroencefalografia , Processamento de Sinais Assistido por Computador , Eletroencefalografia/métodos , Redes Neurais de Computação , Simulação por Computador , Máquina de Vetores de Suporte
2.
J Infect Public Health ; 12(3): 445-447, 2019.
Artigo em Inglês | MEDLINE | ID: mdl-31079702

RESUMO

BACKGROUND: Rabies is a fatal viral disease that continues to threaten human and animal health in endemic countries. Rabies is endemic in animals in the Arabian Peninsula. Although Saudi Arabia is the largest country on the Peninsula, little has been reported in the country about rabies situation. METHODS: A total of 199 animals suspected of rabies from 2010 to 2017, were examined for rabies infection using the Direct Fluorescent Antibody Test (DFAT). RESULTS: There were 158 (79.4%) positive cases of rabies of the examined animals, Most positive cases were found in Al-Qassim (63), Eastern region (48), Riyadh (25) and Al-Madina (10). Rabies was diagnosed in Procavia capensis and monkeys (Papio hamadryas hamadryas) in Saudi Arabia for the first time. In addition, infected livestock, especially camels, sheep and goat that pose a risk to veterinarians and farmers which increases the risk of potential zoonosis of rabies in Saudi Arabia. CONCLUSION: These findings indicate that Rabies in Saudi Arabia remain a public health problem and dogs and camels are the main reservoir and continue to present health risks for both human and animals throughout the country, underscoring the importance of applying rabies control measures to animals and humans.


Assuntos
Reservatórios de Doenças/veterinária , Doenças Endêmicas/veterinária , Raiva/veterinária , Zoonoses/epidemiologia , Zoonoses/virologia , Animais , Camelus/virologia , Reservatórios de Doenças/virologia , Cães/virologia , Cabras/virologia , Humanos , Gado/virologia , Papio/virologia , Saúde Pública , Raiva/epidemiologia , Arábia Saudita/epidemiologia , Ovinos/virologia
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