Paper Info
Title
Methods for heart rate variability analysis during sleep.
Abstract
In the last years we have witnessed the growing interest in the heart rate variability (HRV) signal analysis during sleep. The study of the autonomic regulation during sleep allowed developing methods for automatic detection and classification of some sleep characteristics, both in physiological and pathological conditions. The main problems which require to be faced are the presence of frequent non-stationarities in the signal and the need of dealing with long term analysis, in order to provide reliable indices able to describe the whole night of sleep. In the present paper we are presenting some of the methodologies we recently employed in the study of the heart rate variability during sleep, ranging from time-frequency analysis to long time correlation. Some results are also presented, related to different applications, dealing with both physiological and pathological conditions.
Year
DOI
Venue
2013
10.1109/EMBC.2013.6611063
EMBC
Keywords
Field
DocType
autonomic control,cardiology,bioelectric potentials,medical signal detection,neurophysiology,pathological condition,electroencephalography,sleep,medical signal processing,sleep characteristic detection,heart rate variability,respiration,hrv signal analysis,sleep characteristic classification,physiological condition,time-frequency analysis,time frequency analysis,time series analysis,entropy
Computer vision,Heart rate variability,Anesthesia,Psychology,Correlation,Artificial intelligence,Audiology,Electroencephalography
Conference
Volume
ISSN
Citations 
2013
1557-170X
1
PageRank 
References 
Authors
0.37
2
2
Name
Order
Citations
PageRank
Anna Maria Bianchi111915.44
Martin O Mendez210.37