Int J Sports Med 2010; 31(5): 336-341
DOI: 10.1055/s-0030-1248319
Training & Testing

© Georg Thieme Verlag KG Stuttgart · New York

Comparison of Omega Wave System and Polar S810i to Detect R-R Intervals at Rest

E. Parrado1 , M. Á. García2 , J. Ramos2 , J. C. Cervantes1 , G. Rodas3 , L. Capdevila1
  • 1Universitat Autonoma de Barcelona, Laboratory of Sport Psychology, Bellaterra, Spain
  • 2Polytechnic University of Barcelona, Department of Electronic Egineering, Barcelona, Spain
  • 3F. C. Barcelona, Medical Services F. C. Barcelona, Spain
Further Information

Publication History

accepted after revision January 18, 2010

Publication Date:
23 February 2010 (online)

Abstract

The present study was performed to compare R-R interval data and heart rate variability indices obtained from the Polar S810i and the Omega Wave Sport System for a total of 96 adults in a supine position. Data were simultaneously recorded with the Polar S810i and the Omega Wave Sport System and processed by unique software. Bland-Altman analysis for the R-R intervals shows minimal bias for free and paced breathing. No significant differences were observed for heart rate variability indices derived from the signal from both devices, except for the power of the high frequency band and the acceleration changes index during either free or paced breathing. Coefficients of correlations were all above 0.96. These data suggest that both systems are valid to record R-R interval signals and to obtain a valid analysis of heart rate variability. However, Omega Wave Sport System enables data to be collected without any artifacts making the analysis of heart rate variability easier than the analysis of Polar S810i. Nevertheless, Polar S810i continues to be more practical in clinical and applied situations due to the affordability of the device.

References

  • 1 Acharya UR, Joseph P, Kannathal N, Lim C, Suri J. Heart rate variability: a review.  Med Bio Eng Comput. 2006;  44 1031-1051
  • 2 Anosov O, Patzak A, Kononovich Y, Persson PB. High-frequency oscillations of the heart rate during ramp load reflect the human anaerobic threshold.  Eur J Appl Physiol. 2000;  83 388-3104
  • 3 Berkoff DJ, Cairns CB, Sanchez LD, Moorman CT. Heart rate variability in elite American track-and-field athletes.  J Strength Condit Res. 2007;  21 227-231
  • 4 Berkoff DJ, Mall N, Moorman CT, Cairns CB. Easily accessible and accurate method to assess heart rate variability in humans.  Acad Emerg Med. 2005;  12 88
  • 5 Bland MJ, Altman DG. Agreement between methods of measurement with multiple observations per individual.  J Biopharm Stat. 2007;  17 571-582
  • 6 Buchheit M, Gindre C. Cardiac parasympathetic regulation: respective associations with cardiorespiratory fitness and training load.  Am J Physiol Heart Circ Physiol. 2006;  291 451-458
  • 7 Cohen J. (ed) Statistical Power Analysis for the Behavioral Sciences. Hillsdale: Lawrence Erlbaum Associates; 1988
  • 8 Cottin F, Médigue C, Lopes P, Leprêtre PM, Heubert R, Billat V. Ventilatory thresholds assessment from heart rate variability during an incremental exhaustive running test.  Int J Sports Med. 2007;  28 287-294
  • 9 Gamelin FX, Baquet G, Berthoin S, Bosquet L. Validity of the Polar S810 to measure R-R intervals in children.  Int J Sports Med. 2008;  29 134-138
  • 10 Gamelin FX, Berthoin S, Bosquet L. Validity of the Polar S810 Heart Rate Monitor to measure R-R intervals at rest.  Med Sci Sports Exer. 2006;  38 887-893
  • 11 García-González MA, Ramos-Castro J, Fernández-Chimeno M. A new index for the analysis of heart rate variability dynamics: characterization and application.  Physiol Meas. 2003;  24 819-832
  • 12 Grossi Porto LG, Junqueira LF. Comparison of time-domain short-term heart interval variability analysis using a wrist-worn heart rate monitor and the conventional electrocardiogram.  Pacing Clin Electrophysiol. 2009;  32 43-51
  • 13 Harriss DJ, Atkinson G. International Journal of Sports Medicine – Ethical Standards in Sport and Exercise Science Research.  Int J Sports Med. 2009;  30 701-702
  • 14 Karavirta L, Tulppo MP, Laaksonen DE, Nyman K, Laukkanen RT, Kinnunen H, Hakkinen A, Hakkinen K. Heart rate dynamics after combined endurance and strength training in older men.  Med Sci Sports Exerc. 2009;  41 1436-1443
  • 15 Kingsley M, Lewis MJ, Marson RE. Comparision of Polar 810 s and an ambulatory system for RR interval measurement during progessive exercise.  Int J Sports Med. 2005;  26 39-44
  • 16 Kiviniemi A, Hautala A, Kinnunen H, Tulppo M. Endurance training guided individually by daily heart rate variability measurements.  Eur J Appl Physiol. 2007;  101 743-751
  • 17 Montano N, Porta A, Cogliati C, Costantino G, Tobaldini E, Casali KR, Iellamo F. Heart rate variability explored in the frequency domain: A tool to investigate the link between heart and behavior.  Neurosci Biobehav Rev. 2009;  33 71-80
  • 18 Nunan D, Donovan G, Jakovljevic DG, Hodges LD, Sandercock GRH, Brodie DA. Validity and reliability of short-term heart rate variability from the Polar S810.  Med Sci Sports Exerc. 2009;  41 243-250
  • 19 Nunan D, Jakovljevic DG, Donovan G, Hodges LD, Sandercock GRH, Brodie DA. Levels of agreement for RR intervals and short-term heart rate variability obtained from the Polar S810 and an alternative system.  Eur J Appl Physiol. 2008;  103 529-537
  • 20 Pikkujamsa SM, Makikallio TH, Sourander LB, Raiha IJ, Puukka P, Skytta J, Peng CK, Goldberger AL, Huikuri HV. Cardiac Interbeat Interval Dynamics From Childhood to Senescence: Comparison of conventional and new measures based on Fractals and Chaos Theory.  Circulation. 1999;  100 393-399
  • 21 Pincus SM. Approximate entropy as a measure of system complexity. In: Proceedings of the National Academy of Sciences of the United States of America. 1991 88: 2297-2301
  • 22 Platisa MM, Mazic S, Nestorovic Z, Gal V. Complexity of heartbeat interval series in young healthy trained and untrained men.  Physiol Meas. 2008;  29 439-450
  • 23 Pumprla J, Howorka K, Groves D, Chester M, Nolan J. Functional assessment of heart rate variability: physiological basis and practical applications.  Int J Cardiol. 2002;  84 1-14
  • 24 Radespiel-Tröger M, Rauh R, Mahlke C, Gottschalk T, Mück-Weymann M. Agreement of two different methods for measurement of heart rate variability.  Clin Auton Res. 2003;  13 99-102
  • 25 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
  • 26 Tulppo MP, Makikallio TH, Takala TE, Seppanen T, Huikuri HV. Quantitative beat-to-beat analysis of heart rate dynamics during exercise.  Am J Physiol Heart Circ Physiol. 1996;  271 H244-H252
  • 27 Thomas S, Reading J, Shephard RJ. Revision of the Physical Activity Readiness Questionnaire (PAR-Q).  Can J Appl Sport Sci. 1992;  17 338-345
  • 28 Vanderlei LCM, Silva RA, Pastre CM, Azevedo FM, Godoy MF. Comparison of the Polar S810i monitor and the ECG for the analysis of heart rate variability in the time and frequency domains.  Braz J Med Biol Res. 2008;  41 854-859

Correspondence

Eva Parrado

Universitat Autonoma de Barcelona

Laboratori de Psicologia de

l’Esport Ed B

08193 Bellaterra

Spain

Phone: +34/93/58 683 95

Fax: +34/93/581 33 29

Email: eva.parrado@uab.cat

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