Title :
Using chaotic attractors as a means of discriminating neonatal heart rate variability
Author :
Mitchell, Robert H. ; Taylor, Keith P. ; Jenkins, John G.
Author_Institution :
Ulster Univ., Jordanstown, UK
Abstract :
A method is presented which distinguishes between normal premature infants and those diagnosed as having Respiratory Distress Syndrome (RDS). The method uses Heart Rate Variability (MRV) data which is derived from the time-series of consecutive R-R intervals, and exploits aspects of Chaos Theory, without requiring large data records. The data does not require pre-filtering, and the computational time is minimal
Keywords :
chaos; electrocardiography; medical signal processing; time series; chaotic attractors; computational time; consecutive R-R intervals time series; neonatal heart rate variability discrimination; normal premature infants; pre-filtering; respiratory distress syndrome; Aging; Chaos; Delay effects; Fractals; Heart rate; Heart rate variability; Hospitals; Pediatrics; Spectral analysis; Testing;
Conference_Titel :
Engineering in Medicine and Biology Society, 1995., IEEE 17th Annual Conference
Conference_Location :
Montreal, Que.
Print_ISBN :
0-7803-2475-7
DOI :
10.1109/IEMBS.1995.579376
