DocumentCode :
140236
Title :
Characterization of the autonomic system during the cyclic alternating pattern of sleep
Author :
Gonzalez-Salazar, J.S. ; Alba, A. ; Mendez, M.O. ; Luna-Rivera, J.M. ; Parrino, L. ; Grassi, A. ; Terzano, M. ; Milioli, G.
Author_Institution :
Fac. de Cienc., Univ. Autonoma de San Luis Potosi, San Luis Potosí, Mexico
fYear :
2014
fDate :
26-30 Aug. 2014
Firstpage :
3805
Lastpage :
3808
Abstract :
Evaluation of the RR variability was carried out during the Cyclic Alternating Pattern (CAP) in sleep. CAP is a central phenomenon formed by short events called A-phases that break basal electroencephalogram (EEG) oscillations of the sleep stages. A-phases are classified in three types (A1, A2 and A3) based on the EEG desynchronization during A-phase. However, the relation of A-phases with other systems, such as cardiovascular system, is unclear and a deep analysis is required. For the study, six patients with Nocturnal Front Lobe Epilepsy (NFLE) and other six healthy controls patients underwent whole night polysomnographic recordings with CAP and hypnogram annotations. Amplitude reduction and time delay of the RR intervals minimum with respect to A-phases onset were computed. In addition, the same process was computed over randomly chosen RR interval segments during the NREM sleep for further comparison. The results suggest that the onset of the A-phases is correlated with a significative increase of the heart rate that peaks at around 4s after the Aphase onset, independently of the A-phase subtype.
Keywords :
bioelectric potentials; cardiovascular system; delays; electroencephalography; medical disorders; medical signal processing; neurophysiology; signal classification; sleep; synchronisation; EEG desynchronization; RR variability evaluation; amplitude reduction; autonomic system characterization; basal electroencephalogram oscillations; cardiovascular system; hypnogram annotations; nocturnal front lobe epilepsy; polysomnographic recordings; sleep cyclic alternating pattern; time delay; Autonomic systems; Electroencephalography; Feature extraction; Heart rate; Histograms; Sleep; CAP; EEG; Heart Rate Variability; NFLE; Sleep;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society (EMBC), 2014 36th Annual International Conference of the IEEE
Conference_Location :
Chicago, IL
ISSN :
1557-170X
Type :
conf
DOI :
10.1109/EMBC.2014.6944452
Filename :
6944452
Link To Document :
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