Title :
HRV complexity as a diagnostic tool for late onset sepsis in sick premature infants
Author :
Wang, Yuan ; Carrault, Guy ; Beuchee, Alain ; Senhadji, Lotfi ; Shu, Huazhong
Author_Institution :
Lab. Traitement du Signal et de l´´Image(LTSI, INSERM U642), Univ. de Rennes 1, Rennes
Abstract :
In this paper, the objective was to investigate the heart rate variability in two selected groups of premature infants (sepsis vs non-sepsis). We studied the RR interval series not only by linear methods - time domain and frequency domain, but also by non-linear methods - chaos theory and information theory, in order to find the optimal parameters to distinguish sepsis premature infants from non-sepsis ones. The results show that indexes of information theory are useful parameters for the diagnosis of late neonatal infection in premature infants with recurrent apnea-bradycardia.
Keywords :
bioelectric phenomena; cardiovascular system; chaos; electrocardiography; frequency-domain analysis; medical signal processing; obstetrics; time-domain analysis; ECG signal; HRV complexity; RR interval series; chaos theory; diagnostic tool; frequency domain methods; heart rate variability; information theory; late neonatal infection diagnosis; late onset sepsis; linear methods; nonlinear methods; recurrent apnea-bradycardia; sick premature infants; time domain methods; Blood; Cardiology; Chaos; Computer science; Diseases; Frequency domain analysis; Heart rate variability; Information theory; Pediatrics; Time domain analysis;
Conference_Titel :
BioInformatics and BioEngineering, 2008. BIBE 2008. 8th IEEE International Conference on
Conference_Location :
Athens
Print_ISBN :
978-1-4244-2844-1
Electronic_ISBN :
978-1-4244-2845-8
DOI :
10.1109/BIBE.2008.4696776