JOSE RAMON
VILLAR FLECHA
Catedrático de Universidad
Complejo Asistencial Universitario de Burgos
Burgos, EspañaPublicaciones en colaboración con investigadores/as de Complejo Asistencial Universitario de Burgos (13)
2023
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Analysis of Frequency Bands in Electroencephalograms for Automatic Detection of Photoparoxysmal Responses
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
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Data Augmentation Effects on Highly Imbalanced EEG Datasets for Automatic Detection of Photoparoxysmal Responses
Sensors, Vol. 23, Núm. 4
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Virtual reality and machine learning in the automatic photoparoxysmal response detection
Neural Computing and Applications, Vol. 35, Núm. 8, pp. 5643-5659
2022
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A Comparison of Machine Learning Techniques for the Detection of Type-4 PhotoParoxysmal Responses in Electroencephalographic Signals
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2021
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A Comparison of Blink Removal Techniques in EEG Signals
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2019
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Preliminary Study on the Detection of Apnea Episodes Through the Use of Dictionaries
Journal of Multiple-Valued Logic and Soft Computing, Vol. 32, Núm. 3-4, pp. 257-276
2016
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Rehabilitation of hemineglect of the left arm using movement detection bracelets activating a visual and acoustic alarm
Journal of NeuroEngineering and Rehabilitation, Vol. 13, Núm. 1
2015
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A hybrid intelligent recognition system for the early detection of strokes
Integrated Computer-Aided Engineering, Vol. 22, Núm. 3, pp. 215-227
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Heuristics for apnea episodes recognition
Advances in Intelligent Systems and Computing
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Improving human activity recognition and its application in early stroke diagnosis
International Journal of Neural Systems, Vol. 25, Núm. 4
2014
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Data analysis for detecting a temporary breath inability episode
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
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Hybrid systems for analyzing the movements during a temporary breath inability episode
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2013
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Human activity recognition and feature selection for stroke early diagnosis
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)