Authors:
Taher Biala
1
;
Fernando Schlindwein
2
;
Michael Wailoo
2
and
Michael Bankart
2
Affiliations:
1
Univeristy of Leicester, United Kingdom
;
2
University of Leicester, United Kingdom
Keyword(s):
Respiratory sinus arrhythmia, Frequency domain analysis, Autoregressive model, Hypertension, Barker theory.
Related
Ontology
Subjects/Areas/Topics:
Applications and Services
;
Biomedical Engineering
;
Biomedical Signal Processing
;
Computer Vision, Visualization and Computer Graphics
;
Medical Image Detection, Acquisition, Analysis and Processing
Abstract:
Frequency domain analysis of RR has been determined by three methods, autoregressive model (AR), Fast Fourier Transform (FFT) and Lomb periodogram for 10 min segments. The first two methods were done after resampling and the third method without resampling RR series of all 75 children. AR was used in this work, and RSA was identified at night time during sleep. The area of the RSA was calculated for every 10 min interval and compared to the overall area of the 10 min segment, then the average RSA of all segments was calculated, as well as the overall percentage of the RSA energy to the total area for the whole period of sleeping. This was done firstly for a sample of Normal and IUGR 10 year olds. Secondly for all the children under study, an independent t-test concluded that there is no significant difference between the IUGR and Normal (p=0.7467).