Study Objectives: Complex sleep apnea is defined as sleep disordered breathing secondary to simultaneous upper airway obstruction and respiratory control *** objective of this study was to assess the utility of an ele...
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Study Objectives: Complex sleep apnea is defined as sleep disordered breathing secondary to simultaneous upper airway obstruction and respiratory control *** objective of this study was to assess the utility of an electrocardiogram (ECG)-based cardiopulmonany coupling technique to distinguish obstructive from central or complex sleep ***: Analysis of archived polysomnographic ***: A laboratory for computational signal ***: *** and Results: The PhysioNet Sleep Apnea Database, consisting of 70 polysomnograms including single-lead ECG signals of approximately 8 hours duration, was used to train an ECG-based measure of autonomic and respiratory interactions (cardiopulmonary coupling)to detect periods of apnea and hypopnea, based on the presence of elevated low-frequency coupling (e-LFC).In the PhysioNet BIDMC Congestive Heart Failure Database (ECGs of 15 subjects), a pattern of "narrow spectral band" e-LFC was especially *** algorithm was then applied to the Sleep Heart Health Study-Ⅰ dataset, to select the 15 records with the highest amounts of broad and narrow spectral band *** latter spectral characteristic seemed to detect not only periods of central apnea, but also obstructive hypopneas with a periodic breathing *** the algorithm to 77 sleep laboratory split-night studies showed that the presence of narrow band e-LFC predicted an increased sensitivity to induction of central apneas by positive airway ***: ECG-based spectral analysis allows automated, operator-independent characterization of probable interactions between respiratory dyscontrol and upper airway anatomical *** clinical utility of spectrographic phenotyping, especially in predicting failure of positive airway pressure therapy, remains to be more thoroughly tested.
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