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Improving detection of apneic events by learning from examples and treatment of missing data
(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 ...
A comparison of performance of K-complex classification methods using feature selection
(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 ...
Spectral Heart Rate Variability analysis using the heart timing signal for the screening of the Sleep Apnea–Hypopnea Syndrome
(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 ...
Automatic classification of respiratory patterns involving missing data imputation techniques
(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 ...
Intelligent approach for analysis of respiratory signals and oxygen saturation in the sleep apnea/hypopnea syndrome
(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 ...
Computer-Assisted Diagnosis of the Sleep Apnea-Hypopnea Syndrome: A Review
(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 ...
Computer-assisted analysis of polysomnographic recordings improves interscorer associated agreement and scoring times
(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 ...
Inter-database validation of a deep learning approach for automatic sleep scoring
(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
(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
(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 ...