Validity of the Polar S810 to Measure R-R Intervals in Children

Intervals between two consecutive cardiac beats (R-R intervals) and the subsequent analysis of heart rate variability (HRV) obtained simultaneously from the Polar S810 heart rate monitor (HRM) and an electrocardiogram (ECG) in a supine position were compared in twelve children (age 9.6 +/- 0.9 years) before and after protocol correction. R-R intervals were significantly different between the ECG and the HRM uncorrected and corrected signal (p < 0.001, effect size [ES] = 0.005, and 0.005, respectively). However, the bias (95 % confidence interval) was 0.80 (- 124.76 - 123.16) ms and 0.80 (- 12.76 - 11.16) ms, respectively. HRV parameters derived from both signals were not different (p > 0.05) and well correlated (r > 0.99, p < 0.05), except SD2 (p < 0.05, ES = 0.000; r = 0.99). These data support the validity of the Polar S810 HRM to measure R-R intervals and make the subsequent HRV analysis in a supine position in children.

[1]  P. Bjerregaard,et al.  Attenuated 24-h heart rate variability in apparently healthy subjects, subsequently suffering sudden cardiac death , 1991, Clinical Autonomic Research.

[2]  M. Litaker,et al.  Heart rate variability in obese children: relations to total body and visceral adiposity, and changes with physical training and detraining. , 2000, Obesity research.

[3]  Yoshio Nakamura,et al.  Heart rate variability, trait anxiety, and perceived stress among physically fit men and women. , 2000, International journal of psychophysiology : official journal of the International Organization of Psychophysiology.

[4]  N. Armstrong,et al.  Reliability of heart rate variability measures at rest and during light exercise in children , 2003, British journal of sports medicine.

[5]  Stéphane Perrey,et al.  Quantitative Poincaré plot analysis of heart rate variability: effect of endurance training , 2003, European Journal of Applied Physiology.

[6]  M Kingsley,et al.  Comparison of Polar 810s and an ambulatory ECG system for RR interval measurement during progressive exercise. , 2005, International journal of sports medicine.

[7]  G. von Bernuth,et al.  Clinical and haemodynamic correlates of heart rate variability in children with congenital heart disease , 1998, European Journal of Pediatrics.

[8]  Marimuthu Palaniswami,et al.  Do existing measures of Poincare plot geometry reflect nonlinear features of heart rate variability? , 2001, IEEE Transactions on Biomedical Engineering.

[9]  J F Thayer,et al.  Autonomic balance revisited: panic anxiety and heart rate variability. , 1998, Journal of psychosomatic research.

[10]  T. M. Wood,et al.  Measurement Concepts in Physical Education and Exercise Science , 1989 .

[11]  J. K. Nelson,et al.  Research Methods in Physical Activity , 1990 .

[12]  J. N. Marchant-Forde,et al.  Validation of a cardiac monitor for measuring heart rate variability in adult female pigs: accuracy, artefacts and editing , 2004, Physiology & Behavior.

[13]  A. Ruha,et al.  A real-time microprocessor QRS detector system with a 1-ms timing accuracy for the measurement of ambulatory HRV , 1997, IEEE Transactions on Biomedical Engineering.

[14]  T. Seppänen,et al.  Quantitative beat-to-beat analysis of heart rate dynamics during exercise. , 1996, The American journal of physiology.

[15]  James M. Tanner,et al.  Growth at Adolescence , 1956 .

[16]  Jacob Cohen Statistical Power Analysis for the Behavioral Sciences , 1969, The SAGE Encyclopedia of Research Design.

[17]  Michal Javorka,et al.  Heart rate variability in young patients with diabetes mellitus and healthy subjects explored by Poincaré and sequence plots , 2005, Clinical physiology and functional imaging.

[18]  Martin Radespiel-Tröger,et al.  Agreement of two different methods for measurement of heart rate variability , 2003, Clinical Autonomic Research.

[19]  Ferdinand J. Venditti,et al.  Reduced Heart Rate Variability and Mortalit Risk in an Elderly Cohort: The Framingham Heart Study , 1994, Circulation.