DocumentCode :
2512460
Title :
Assessment of heart rate variability by short-time Fourier transform and data analysis
Author :
Clairambault, J. ; Curzi-Dascalova, L. ; Kauffmann, F. ; Médigue, C. ; Leffler, C.
Author_Institution :
INRIA-Rocquencourt, France
fYear :
1991
fDate :
23-26 Sep 1991
Firstpage :
421
Lastpage :
424
Abstract :
Heart rate variability (HRV) analysis of 24 healthy newborn sleeping babies was performed by a short-time Fourier transform in three frequency bands, reflecting the activity of both branches of the autonomic nervous system (ANS), vagal and sympathetic. The means of the three extracted time signals, computed over records of 512 heartbeats, were used as a material for principal component analysis, and for discriminant factor analyses, to separate sleep states and conceptional age (CA) groups. This study suggests that sleep state discrimination, on the basis of an opposition between high (purely vagal in its origin) and low (vagal and sympathetic) frequency HRV, is regularly improved from 31 to 41 weeks CA; and a strong increase in ANS activity, mainly vagal, as reflected by high-frequency HRV, occurs precociously, not later than 38 weeks CA
Keywords :
Fourier transforms; electrocardiography; waveform analysis; 31 to 41 wk; autonomic nervous system; conceptional age; data analysis; healthy newborn sleeping babies; heart rate variability; heartbeats; principal component analysis; short-time Fourier transform; sleep state discrimination; sympathetic branch; vagal branch; Data analysis; Electrocardiography; Fourier transforms; Frequency conversion; Hafnium; Heart rate variability; Pediatrics; Resonant frequency; Signal analysis; Sleep;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computers in Cardiology 1991, Proceedings.
Conference_Location :
Venice
Print_ISBN :
0-8186-2485-X
Type :
conf
DOI :
10.1109/CIC.1991.169133
Filename :
169133
Link To Document :
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