Although heart rate variability (HRV) decreasing has been usually described in obstructive sleep apnea syndrome (OSAS), some studies have recently questioned the validity of spectral HRV analysis in presence of respiratory and arrhythmic disorders. Fractal analysis of HRV is an emerging nonlinear technique overcoming these limitations and allowing short term HRV assessment during hypo/apnea phases. The aim of this study is to analyse the Fractal features in sleep apnea in order to find as these characteristics could change during abnormal respiration patterns in OSAS. We studied 30 polysomnographic recordings of severe OSAS (AHl30) pts. (age 55±9) and 10 PR of normal subjects (age 46±4). Hypo/apnea phases and related beat-to-beat time series have been detected and classified by automated algorithms and manually verified by expert technicians. Fractal analysis was performed by the Higuchi algorithm (FD). Results showed that while FD does not significantly differ between Normals (l.6J±0.09) and normal breath epochs in OSAS, it significantly (p<0.005) tends to a less fractal structure from normal breath (l.60±0.15) to hypopneas (l.52±0.13), obstructive (l.50±0.12) and mixed apneas (l.48±0.1l) epochs, with a significant Dunn's multiple comparisons post test only between normal breath vs. obstructive and mixed apneas.

Fractal behaviour of heart rate variability reflects abnormal respiration patterns in OSAS patients

ACCARDO, AGOSTINO;FORNASA, ELISA;
2013

Abstract

Although heart rate variability (HRV) decreasing has been usually described in obstructive sleep apnea syndrome (OSAS), some studies have recently questioned the validity of spectral HRV analysis in presence of respiratory and arrhythmic disorders. Fractal analysis of HRV is an emerging nonlinear technique overcoming these limitations and allowing short term HRV assessment during hypo/apnea phases. The aim of this study is to analyse the Fractal features in sleep apnea in order to find as these characteristics could change during abnormal respiration patterns in OSAS. We studied 30 polysomnographic recordings of severe OSAS (AHl30) pts. (age 55±9) and 10 PR of normal subjects (age 46±4). Hypo/apnea phases and related beat-to-beat time series have been detected and classified by automated algorithms and manually verified by expert technicians. Fractal analysis was performed by the Higuchi algorithm (FD). Results showed that while FD does not significantly differ between Normals (l.6J±0.09) and normal breath epochs in OSAS, it significantly (p<0.005) tends to a less fractal structure from normal breath (l.60±0.15) to hypopneas (l.52±0.13), obstructive (l.50±0.12) and mixed apneas (l.48±0.1l) epochs, with a significant Dunn's multiple comparisons post test only between normal breath vs. obstructive and mixed apneas.
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11368/2763257
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