Intelligent approach for analysis of respiratory signals and oxygen saturation in the sleep apnea/hypopnea syndrome
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http://hdl.handle.net/2183/16120
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Intelligent approach for analysis of respiratory signals and oxygen saturation in the sleep apnea/hypopnea syndromeAutor(es)
Fecha
2014-06-13Cita bibliográfica
Moret-Bonillo, Vicente and Alvarez-Estévez, Diego and Fernández-Leal, Ángel and Hernández-Pereira, Elena. Intelligent Approach for Analysis of Respiratory Signals and Oxygen Saturation in the Sleep Apnea/Hypopnea Syndrome}, The open medical informatics journal, vol. 8,p.1-19, 2014.
Resumen
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 arterial blood, SaO2. In order to accomplish the task the proposed approach makes use of different artificial intelligence techniques and reasoning processes being able to deal with imprecise data. These reasoning processes are based on fuzzy logic and on temporal analysis of the information. The developed approach also takes into account the possibility of artifacts in the monitored signals. Detection and characterization of signal artifacts allows detection of false positives. Identification of relevant diagnostic patterns and temporal correlation of events is performed through the implementation of temporal constraints.
Palabras clave
Artificial intelligence in medicine
Decision support systems
Fuzzy logic
Intelligent monitoring
Signal processing
Sleep apneas
Temporal reasoning
Decision support systems
Fuzzy logic
Intelligent monitoring
Signal processing
Sleep apneas
Temporal reasoning
Descripción
doi: 10.2174/1874431101408010001
Versión del editor
Derechos
Reconocimiento-NoComercial 4.0 Internacional
ISSN
1874-4311