RT Journal Article
SR Electronic
T1 Heart rate analysis using multiscale entropy in OSA patients under CPAP treatment – Pilot study
JF European Respiratory Journal
JO Eur Respir J
FD European Respiratory Society
SP p2210
VO 38
IS Suppl 55
A1 Jakub Radlinski
A1 Waldemar Tomalak
A1 Zbigniew Baran
YR 2011
UL http://erj.ersjournals.com/content/38/Suppl_55/p2210.abstract
AB One of the common effects of hypopnea/apnea events during sleep are arousals associated with heart rate change. Methods of nonlinear dynamics which analyze not only variability but also the complexity of the signal are the effective and relatively novel techniques used to analyze heart rate variability.The aim of the study was to explore the possibility of detection of complexity changes of signal constructed from R-R intervals derived from ECG during full night PSG in OSA patients (in whom apnea/hypopnea events were eliminated by CPAP therapy) using informative entropy.21 patients undergoing routine diagnostic in sleep lab were recruited for the study (15 male, 6 female; age 52±9 years; BMI 35.8±5.4kg/m2; Epworth 13±5). The full night diagnostic PSG and the titration night using auto-CPAP under PSG supervisory (both according to ASSM rules) were performed (diagnostic to titration time: 60±31 days). The CPAP therapy was well tolerated (the RDI change from 72±30 during diagnostic night to 5.9±6.9 during titration night; ODI from 61±31 to 3.8±4.1; AI from 50±26 to 6.5±4.3). The R-R intervals were detected in recorded ECG signal (250Hz), and the multiscale entropy (Goldberg's MSE) was calculated for the scales 1-20.In the low scales (up to 9) there were no significant difference between diagnostic and titration results. In the higher scales there were significant (p<0.05) differences.The elimination of respiratory events has no significant effect on beat-to-beat heart rate complexity. However, using MSE analysis the results of eliminating heart rhythm changes associated with arousals are clearly visible.