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Título
Regularity analysis of nocturnal oximetry recordings to assist in the diagnosis of sleep apnoea syndrome
Autor
Año del Documento
2016
Editorial
Elsevier
Descripción
Producción Científica
Documento Fuente
Medical Engineering and Physics 38 (2016) 216–224
Abstract
The relationship between sleep apnoea–hypopnoea syndrome (SAHS) severity and the regularity of noctur- nal oxygen saturation (SaO 2 ) recordings was analysed. Three different methods were proposed to quantify regularity: approximate entropy (AEn), sample entropy (SEn) and kernel entropy (KEn). A total of 240 sub- jects suspected of suffering from SAHS took part in the study. They were randomly divided into a training set (96 subjects) and a test set (144 subjects) for the adjustment and assessment of the proposed methods, respectively. According to the measurements provided by AEn, SEn and KEn, higher irregularity of oximetry signals is associated with SAHS-positive patients. Receiver operating characteristic (ROC) and Pearson corre- lation analyses showed that KEn was the most reliable predictor of SAHS. It provided an area under the ROC curve of 0.91 in two-class classification of subjects as SAHS-negative or SAHS-positive. Moreover, KEn mea- surements from oximetry data exhibited a linear dependence on the apnoea–hypopnoea index, as shown by a correlation coefficient of 0.87. Therefore, these measurements could be used for the development of simplified diagnostic techniques in order to reduce the demand for polysomnographies. Furthermore, KEn represents a convincing alternative to AEn and SEn for the diagnostic analysis of noisy biomedical signals.
Materias (normalizadas)
Oxygen saturation
ISSN
1350-4533
Revisión por pares
SI
Patrocinador
Junta de Castilla y León (project VA059U13)
Ministerio de Economía y Competitividad (project TEC 2011–22987)
Ministerio de Economía y Competitividad (project TEC 2011–22987)
Version del Editor
Idioma
eng
Derechos
openAccess
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