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Updated: Aug 1, 2026
Measuring Cardiac Autonomic Nervous System (ANS) Activity in Children
Published on: April 29, 2013
Scalar, planar, and spatial measurements of the Frank vectorcardiogram in normal infants and children
Insights
Vectorcardiograms (VCGs) in children show minimal racial differences, with age and sex being key factors. The Frank-lead system effectively adjusts for body size in pediatric VCG analysis.
Area of Science:
- Pediatric Cardiology
- Biomedical Engineering
- Human Physiology
Background:
- Vectorcardiography (VCG) is a diagnostic tool used to assess cardiac electrical activity.
- Understanding the influence of anthropometric variables on VCG parameters in children is crucial for accurate interpretation.
Purpose of the Study:
- To investigate the correlation between anthropometric indices (height, weight, etc.) and VCG measurements in a pediatric population.
- To determine the impact of race and sex on VCG waveforms in normal infants and children.
Main Methods:
- Obtained Frank-lead vectorcardiograms from 1222 healthy infants and children.
- Utilized the Pipberger computer system to analyze 176 scaler and vector measurements.
- Correlated VCG parameters with anthropometric data, age, sex, and race, performing over 5500 statistical significance tests.
Main Results:
- Height, weight, torso length, and chest circumference correlated with QT interval, primarily due to age-related heart rate changes.
- Minimal and clinically insignificant racial differences in VCG parameters were observed.
- Sex-based differences were noted, with boys exhibiting higher VCG values in most instances.
Conclusions:
- The Frank-lead system adequately corrects for constitutional variables in pediatric VCGs.
- Age and sex are significant factors requiring stratification for accurate pediatric VCG evaluation.
- Racial variations in pediatric VCGs are statistically significant but clinically negligible.
Abstract:
Frank-lead vectorcardiograms (VCGs) were obtained from 1222 normal infants and children. By means of the Pipberger computer system, 176 different scaler and vector measurements obtained from each VCG were correlated with height, weight, race, sex, torso length, chest circumference, and chest diameters to determine the effect of anthropometric indices on the VCG wave forms. Because 5509 tests of statistical significance were performed, correlation coefficients and tests of statistical significance are reported only with p less than 0.001. Height, weight, torso length, and chest circumference show good correlation with QT interval, but these findings are reflective of the decrease in heart rate with age. The VCG does not show consistent correlations with constitutional variables when stratified by age, sex, or race. There were six instances of VCG parameters significantly greater in black children, and four instances of VCG parameters significantly greater in white children. All racial differences, while statistically significant, are small by clinical, hand measurement standards. There were 22 VCG values in boys which exceeded those in girls and only one VCG value in girls which exceeded those in boys. In the pediatric age group, racial differences in VCG wave forms are small and clinically insignificant. The Frank-lead system adequately corrects for constitutional variables in infants and children. Adequate evaluation of pediatric VCGs requires stratification of data according to age and sex.
