Analyzing heart rate variability in infants using non-linear Poincaré techniques

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...

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Bibliographic Details
Published in2009 36th Annual Computers in Cardiology Conference (CinC) pp. 673 - 676
Main Authors Smith, R L, Wathen, E R, Abaci, P Cetin, Von Bergen, N H, Law, I H, Dick, M D, Connor, C, Dove, E L
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.09.2009
Subjects
Birth disorders
Blood
Cardiology
Electrocardiography
Frequency domain analysis
Frequency measurement
Heart rate
Heart rate variability
Pediatrics
Resonant frequency
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Summary: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 five-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.
ISBN:9781424472819
1424472814
ISSN:0276-6574
2325-8853