• DocumentCode
    3395406
  • 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
  • Volume
    2
  • fYear
    1995
  • fDate
    20-23 Sep 1995
  • Firstpage
    951
  • 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;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, 1995., IEEE 17th Annual Conference
  • Conference_Location
    Montreal, Que.
  • Print_ISBN
    0-7803-2475-7
  • Type

    conf

  • DOI
    10.1109/IEMBS.1995.579376
  • Filename
    579376
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3395406