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

 

 Buy Article Permissions and Reprints

Abstract

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.

References

• 1 Baugmarter T A. Norm-referenced measurment: reliability. Safrit MJ, Wood TM Measurement Concepts in Physical Education and Exercise Science. Champaign, IL; Human Kinetics 1989: 45-72
  Google Scholar
• 2 Brennan M, Palaniswami M, Kamen P. Do existing measures of Poincare plot geometry reflect nonlinear features of heart rate variability?.  IEEE Trans Biomed Eng. 2001;  48 1342-1347
  CrossrefPubMedGoogle Scholar
• 3 Cohen (ed) J. Statistical Power Analysis for the Behavioral Sciences. Hillsdale; Lawrence Erlbaum Associates 1988
  Google Scholar
• 4 Dishman R K, Nakamura Y, Garcia M E, Thompson R W, Dunn A L, Blair S N. Heart rate variability, trait anxiety, and perceived stress among physically fit men and women.  Int J Psychophysiol. 2000;  37 121-133
  CrossrefPubMedGoogle Scholar
• 5 Friedman B H, Thayer J F. Autonomic balance revisited: panic anxiety and heart rate variability.  J Psychosom Res. 1998;  44 133-151
  CrossrefPubMedGoogle Scholar
• 6 Gutin B, Barbeau P, Litaker M S, Ferguson M, Owens S. Heart rate variability in obese children: relations to total body and visceral adiposity, and changes with physical training and detraining.  Obes Res. 2000;  8 12-19
  CrossrefPubMedGoogle Scholar
• 7 Javorka M, Javorkova J, Tonhajzerova I, Calkovska A, Javorka K. Heart rate variability in young patients with diabetes mellitus and healthy subjects explored by Poincare and sequence plots.  Clin Physiol Funct Imaging. 2005;  25 119-127
  CrossrefPubMedGoogle Scholar
• 8 Kingsley M, Lewis M J, Marson R E. Comparison of Polar 810 s and an ambulatory ECG system for RR Interval measurement during progressive exercise.  Int J Sports Med. 2005;  26 39-44
  Google Scholar
• 9 Kinnunen H, Heikkila I. The timing accuracy of the Polar Vantage NV heart rate monitor.  J Sports Sci. 1998;  16 (Suppl) S107-S110
  PubMedGoogle Scholar
• 10 Marchant-Forde R M, Marlin D J, Marchant-Forde J N. Validation of a cardiac monitor for measuring heart rate variability in adult female pigs: accuracy, artefacts and editing.  Physiol Behav. 2004;  80 449-458
  CrossrefPubMedGoogle Scholar
• 11 Massin M, von Bernuth G. Clinical and haemodynamic correlates of heart rate variability in children with congenital heart disease.  Eur J Pediatr. 1998;  157 967-971
  CrossrefPubMedGoogle Scholar
• 12 Molgaard H, Sorensen K E, Bjerregaard P. Attenuated 24-h heart rate variability in apparently healthy subjects, subsequently suffering sudden cardiac death.  Clin Auton Res. 1991;  1 233-237
  PubMedGoogle Scholar
• 13 Mourot L, Bouhaddi M, Perrey S, Rouillon J D, Regnard J. Quantitative Poincare plot analysis of heart rate variability: effect of endurance training.  Eur J Appl Physiol. 2004;  91 79-87
  CrossrefPubMedGoogle Scholar
• 14 Radespiel-Troger M, Rauh R, Mahlke C, Gottschalk T, Muck-Weymann M. Agreement of two different methods for measurement of heart rate variability.  Clin Auton Res. 2003;  13 99-102
  CrossrefPubMedGoogle Scholar
• 15 Ruha A, Sallinen S, Nissila S. A real-time microprocessor QRS detector system with a 1-ms timing accuracy for the measurement of ambulatory HRV.  IEEE Trans Biomed Eng. 1997;  44 159-167
  CrossrefPubMedGoogle Scholar
• 16 Tanner J M. Growth at Adolescence. 2nd edn. Oxford; Blackwell Scientific Publications 1962: 325
  Google Scholar
• 17 Task Force of the European Society of Cardiology and the North American Society of Pacing and Electrophysiology . Heart rate variability: standards of measurement, physiological interpretation and clinical use.  Circulation. 1996;  93 1043-1065
  Google Scholar
• 18 Thomas J R, Nelson J K. Research Methods in Physical Activity. Champaign, IL; Human Kinetics 2001
  Google Scholar
• 19 Tsuji H, Venditti Jr F J, Manders E S, Evans J C, Larson M G, Feldman C L, Levy D. Reduced heart rate variability and mortality risk in an elderly cohort. The Framingham Heart Study.  Circulation. 1994;  90 878-883
  CrossrefPubMedGoogle Scholar
• 20 Tulppo M P, Makikallio T H, Takala T E, Seppanen T, Huikuri H V. Quantitative beat-to-beat analysis of heart rate dynamics during exercise.  Am J Physiol. 1996;  271 H244-H252
  PubMedGoogle Scholar
• 21 Winsley R J, Armstrong N, Bywater K, Fawkner S G. Reliability of heart rate variability measures at rest and during light exercise in children.  Br J Sports Med. 2003;  37 550-552
  CrossrefPubMedGoogle Scholar

François-Xavier Gamelin

Laboratoire d'Etudes de la Motricité Humaine
Faculté des Sciences du Sport et de l'Education Physique
Université de Lille 2

9 rue de l'Université

59790 Ronchin

France

Phone: + 33 3 20 88 73 54

Fax: + 33 3 20 88 73 63

Email: francois-xavier.gamelin@etu.univ-lille2.fr