Conference proceeding
Analyzing Heart Rate Variability in Infants Using Non-Linear Poincare Techniques
CINC: 2009 36th Annual Computers in Cardiology Conference, Vol.36, pp.673-676
Computers in Cardiology Series
01/01/2009
Abstract
Congenital heart defects, such as Hypoplastic Left Heart Syndrome, are the most prevalent type of birth defect. Palliative reconstructive procedures may interrupt autonomic cardiac function and increase infant mortality rate. Autonomic cardiac tone is classically assessed using linear, Fourier-based techniques. A non-linear Poincare technique is proposed to more completely characterize heart rate variability in terms of short-term (SD1) and long-term (SD2) variability and randomness (SD1/SD2). 24-hour ECG data was collected for 27 normal infants (Group I) and 26 infants with congenital heart defects (Group II) and analyzed in live-minute segments. At birth, Group II showed reduced SD1 and SD2 and increased SD1/SD2 (p<0.001). Post-procedure, greater SD1 and SD2 (p<0.001) was seen in Group II. Poincare analysis captures congenital differences in autonomic cardiac function and improvements over time.
Details
- Title: Subtitle
- Analyzing Heart Rate Variability in Infants Using Non-Linear Poincare Techniques
- Creators
- R. L. Smith - University of IowaE. R. Wathen - Univ Iowa, Iowa City, IA 52242 USAP. Cetin Abaci - Univ Iowa, Iowa City, IA 52242 USAN. H. Von Bergen - Univ Iowa, Iowa City, IA 52242 USAI. H. Law - Univ Iowa, Iowa City, IA 52242 USAM. D. Dick - University of Michigan–Ann ArborC. Connor - University of Michigan–Ann ArborE. L. Dove - Univ Iowa, Dept Biomed Engn, 1412 Seamans Ctr Engn Arts & Sci, Iowa City, IA 52242 USA
- Contributors
- A Murray (Editor)
- Resource Type
- Conference proceeding
- Publication Details
- CINC: 2009 36th Annual Computers in Cardiology Conference, Vol.36, pp.673-676
- Publisher
- IEEE
- Series
- Computers in Cardiology Series
- ISSN
- 0276-6574
- eISSN
- 2325-8853
- Number of pages
- 2
- Language
- English
- Date published
- 01/01/2009
- Academic Unit
- Roy J. Carver Department of Biomedical Engineering; Stead Family Department of Pediatrics; Cardiology
- Record Identifier
- 9984354040002771
Metrics
11 Record Views