RT info:eu-repo/semantics/conferenceObject
T1 Usefulness of Spectral Analysis of Respiratory Rate Variability to Help in Pediatric Sleep Apnea-Hypopnea Syndrome Diagnosis
A1 Barroso García, Verónica
A1 Gutiérrez Tobal, Gonzalo César
A1 Kheirandish Gozal, Leila
A1 Álvarez, Daniel
A1 Vaquerizo Villar, Fernando
A1 Campo Matias, Félix del
A1 Gozal, David
A1 Hornero Sánchez, Roberto
AB The sleep apnea-hypopnea syndrome (SAHS) is achronic respiratory disorder of high prevalence among children(up to 4%). Nocturnal polysomnography (PSG) is the goldstandard method to diagnose SAHS, which is a complex,expensive, and time-consuming test. Consequently, alternativesimplified methods are demanded. We propose the analysis ofthe respiratory rate variability (RRV) signal, directly obtainedfrom the airflow (AF) signals. The aim of our study is toevaluate the usefulness of the spectral information obtainedfrom RRV in the diagnosis of pediatric SAHS. A databasecomposed of 946 AF and blood oxygen saturation (SpO2)recordings from children between 0 and 13 years old was used.Our database was divided into four severity groups accordingto the apnea-hipopnea index (AHI): no-SAHS (AHI < 1events/h), mild (1 events/h ≤ AHI < 5 events/h), moderate (5events/h ≤ AHI < 10 events/h), and severe SAHS (AHI ≥ 10events/h). RRV and 3% oxygen desaturation index (ODI3) wereobtained from AF and SpO2 recordings, respectively. Aspectral band of interest was determined (0.09–0.20 Hz.) and atotal of 12 spectral features were extracted. Nine of thesefeatures showed statistically significant differences (p-value <0.05) among the four severity groups. The spectral featuresfrom RRV along with ODI3 were used as inputs to binarylogistic regression (LR) classifiers. The diagnostic performanceof LR models were evaluated for the AHI cut-off points of 1, 5,and 10 e/h, achieving 66.5%, 84.0%, and 88.5% accuracy,respectively. These results outperformed those obtained bysingle ODI3. The joint use of the spectral information fromRRV and ODI3 achieved a high diagnostic capability in themost severely-affected children, thus showing theircomplementarity. These results suggest that the informationcontained in RRV spectrum together with ODI3 is useful to helpidentify moderate-to-severe SAHS.
SN 978-1-5386-1311-5
YR 2019
FD 2019
LK http://uvadoc.uva.es/handle/10324/38000
UL http://uvadoc.uva.es/handle/10324/38000
LA eng
NO Producción Científica
DS UVaDOC
RD 12-nov-2024