Browsing GI-LIDIA - Artigos by Author "Álvarez-Estévez, Diego"
Now showing items 1-11 of 11
-
A comparison of performance of K-complex classification methods using feature selection
Hernández-Pereira, Elena; Bolón-Canedo, Verónica; Sánchez-Maroño, Noelia; Álvarez-Estévez, Diego; Moret-Bonillo, Vicente; Alonso-Betanzos, Amparo (2016-01-20)[Abstract] The main objective of this work is to obtain a method that achieves the best accuracy results with a low false positive rate in the classification of K-complexes, a kind of transient waveform found in the ... -
A systematic approach to API usability: Taxonomy-derived criteria and a case study
Mosqueira-Rey, E.; Alonso Ríos, David; Moret-Bonillo, Vicente; Fernández-Varela, Isaac; Álvarez-Estévez, Diego (Elsevier B.V., 2018-05)[Abstract]: CONTEXT. The currently existing literature about Application Program Interface (API) usability is heterogeneous in terms of goals, scope, and audience; and its connection to accepted definitions of usability ... -
Automatic classification of respiratory patterns involving missing data imputation techniques
Hernández-Pereira, Elena; Álvarez-Estévez, Diego; Moret-Bonillo, Vicente (Academic Press, 2015-10)[Abstract] A comparative study of the respiratory pattern classification task, involving five missing data imputation techniques and several machine learning algorithms is presented in this paper. The main goal was to ... -
Computer-assisted analysis of polysomnographic recordings improves interscorer associated agreement and scoring times
Álvarez-Estévez, Diego; Rijsman, Roselyne M. (Public Library of Science, 2022-09)[Abstract]: Study objectives To investigate inter-scorer agreement and scoring time differences associated with visual and computer-assisted analysis of polysomnographic (PSG) recordings. Methods A group of 12 expert scorers ... -
Computer-Assisted Diagnosis of the Sleep Apnea-Hypopnea Syndrome: A Review
Moret-Bonillo, Vicente; Álvarez-Estévez, Diego (Hindawi Publishing Corporation, 2015)Automatic diagnosis of the Sleep Apnea-Hypopnea Syndrome (SAHS) has become an important area of research due to the growing interest in the field of sleep medicine and the costs associated with its manual diagnosis. The ... -
Improving detection of apneic events by learning from examples and treatment of missing data
Hernández-Pereira, Elena; Álvarez-Estévez, Diego; Moret-Bonillo, Vicente (I O S Press, 2014)[Abstract] This paper presents a comparative study over the respiratory pattern classification task involving three missing data imputation techniques, and four different machine learning algorithms. The main goal was to ... -
Intelligent approach for analysis of respiratory signals and oxygen saturation in the sleep apnea/hypopnea syndrome
Moret-Bonillo, Vicente; Álvarez-Estévez, Diego; Fernández-Leal, Ángel; Hernández-Pereira, Elena (Bentham Open, 2014-06-13)This work deals with the development of an intelligent approach for clinical decision making in the diagnosis of the Sleep Apnea/Hypopnea Syndrome, SAHS, from the analysis of respiratory signals and oxygen saturation in ... -
Inter-database validation of a deep learning approach for automatic sleep scoring
Álvarez-Estévez, Diego; Rijsman, Roselyne M. (PLOS, 2021)[Abstract] Study objectives Development of inter-database generalizable sleep staging algorithms represents a challenge due to increased data variability across different datasets. Sharing data between different centers ... -
Quality of sleep data validation from the Xiaomi Mi Band 5 against polysomnography: comparison study
Concheiro-Moscoso, Patricia; Groba, Betania; Álvarez-Estévez, Diego; Miranda-Duro, María del Carmen; Pousada, Thais; Nieto-Riveiro, Laura; Mejuto Muiño, Francisco Javier; Pereira-Loureiro, Javier (JMIR Publications, 2023-05)[Abstract] Background: Polysomnography is the gold standard for measuring and detecting sleep patterns. In recent years, activity wristbands have become popular because they record continuous data in real time. Hence, ... -
Revisiting the Wang–Mendel algorithm for fuzzy classification
Álvarez-Estévez, Diego; Moret-Bonillo, Vicente (John Wiley & Sons Ltd, 2018-02-06)[Abstract]: In this paper, we review the Wang–Mendel algorithm for the induction of fuzzy IF-THEN rules in the context of classification problems. A general fuzzy inference architecture for classification is proposed with ... -
Spectral Heart Rate Variability analysis using the heart timing signal for the screening of the Sleep Apnea–Hypopnea Syndrome
Álvarez-Estévez, Diego; Moret-Bonillo, Vicente (Pergamon Press, 2016-04-01)[Abstract] Some approaches have been published in the past using Heart Rate Variability (HRV) spectral features for the screening of Sleep Apnea–Hypopnea Syndrome (SAHS) patients. However there is a big variability among ...
