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Roberto Hornero
Researcher at University of Valladolid
Publications - 359
Citations - 9858
Roberto Hornero is an academic researcher from University of Valladolid. The author has contributed to research in topics: Electroencephalography & Obstructive sleep apnea. The author has an hindex of 48, co-authored 334 publications receiving 8304 citations. Previous affiliations of Roberto Hornero include ETSI & University of Salamanca.
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Journal ArticleDOI
Retinopathy Online Challenge: Automatic Detection of Microaneurysms in Digital Color Fundus Photographs
Meindert Niemeijer,Bram van Ginneken,Michael J. Cree,Atsushi Mizutani,Gwenole Quellec,Clara I. Sánchez,Bob Zhang,Roberto Hornero,Mathieu Lamard,Chisako Muramatsu,Xiangqian Wu,Guy Cazuguel,Jane You,Agustín Mayo,Qin Li,Yuji Hatanaka,Béatrice Cochener,Christian Roux,Fakhri Karray,María García,Hiroshi Fujita,Michael D. Abràmoff +21 more
TL;DR: The overall results show that microaneurysm detection is a challenging task for both the automatic methods as well as the human expert, and there is room for improvement as the best performing system does not reach the performance of thehuman expert.
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Interpretation of the Lempel-Ziv Complexity Measure in the Context of Biomedical Signal Analysis
TL;DR: An investigation aimed at gaining a better understanding of the LZ complexity itself and its interpretability as a biomedical signal analysis technique indicates that LZ is particularly useful as a scalar metric to estimate the bandwidth of random processes and the harmonic variability in quasi-periodic signals.
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Entropy analysis of the EEG background activity in Alzheimer's disease patients.
TL;DR: The results show an increase of EEG regularity in AD patients and suggest that nonlinear analysis of the EEG with SampEn could yield essential information and may contribute to increasing the insight into brain dysfunction in AD in ways which are not possible with more classical and conventional statistical methods.
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Analysis of EEG background activity in Alzheimer's disease patients with Lempel-Ziv complexity and central tendency measure.
TL;DR: The results show a decreased complexity of EEG patterns in AD patients, and suggest that LZ complexity may contribute to increase the insight into brain dysfunction in AD in ways which are not possible with more classical and conventional statistical methods.
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Analysis of regularity in the EEG background activity of Alzheimer's disease patients with Approximate Entropy
TL;DR: The decreased irregularity found in the EEG of AD patients in the parietal region leads us to think that EEG analysis with ApEn could be a useful tool to increase the insight into brain dysfunction in AD.