Accuracy and Repeatability of the Polar^® RS800sd to Evaluate Stride Rate and Running Speed

Abstract

The purpose of this study was to evaluate the accuracy and the repeatability of a new running computer system (RS800sd, Polar^®, Kempele, Finland) which included the measurement of running speed (RS) and stride rate (SR). Eight well-trained triathletes participated in this study. First, they completed an incremental continuous maximum test on a treadmill (from 12 km.h⁻¹ to 18 km.h⁻¹) at 0% grade. Then the subjects took part in a second test to determine RS800sd intra-reproducibility to evaluate running speed. They ran twice during 5 min at a pace corresponding to their maximal lactate steady-state. During these two tests, RS and SR were recorded by the RS800sd system, by an optical sensor system (for RS) and a force-sensitive device (for SR). No difference was found between the RS800sd system and the reference systems both for RS (ICC=0.95) and SR (ICC=0.69). Moreover RS measures were statistically repeatable. This study provided evidence for the validity of the RS800sd system for measuring the kinematic characteristics of running (speed and frequency). Further investigations are needed to replicate these findings at lower running speeds, notably during walking to assess its capacity to evaluate physical activity in natural conditions.

running - stride frequency - stride length - validation

References

• 1 Atkinson G, Davison R, Jeukendrup A, Passfield L. Science and cycling: current knowledge and future directions for research.  J Sports Sci. 2003;  21 767-787
• 2 Bernard T, Vercruyssen T, Grego F, Hausswirth C, Lepers R, Vallier JM, Brisswalter J. Effect of cycling cadence on subsequent 3 km running performance in well trained triathletes.  Br J Sport Med. 2003;  37 154-159
• 3 Billat VL, Slawinski J, Danel M, Koralzstein JP. Effect of free versus constant pace on performance and oxygen kinetics in running.  Med Sci Sports Exerc. 2001;  33 2082-2088
• 4 Bland JM, Altman DG. Statistical methods for assessing agreement bet-ween two methods of clinical measurement.  Lancet. 1986;  ;. 1 307-310
• 5 Bouten CV, Westerterp KR, Verduin M, Janssen JD. Assessment of energy expenditure for physical activity using a triaxial accelerometer.  Med Sci Sports Exerc. 1994;  26 1516-1523
• 6 Brage S, Wedderkopp N, Franks PW, Andersen LB, Froberg K. Reexamination of validity and reliability of the CSA monitor in walking and running.  Med Sci Sports Exerc. 2003;  35 1447-1454
• 7 Brisswalter J, Legros P. Comparaison du coût énergétique dans une population de coureurs de moyennes, de longues distances.  Sci Sports. 1992;  7 43-49
• 8 Cavagna GA, Thys H, Zamboni A. The sources of external work in level walking and running.  J Physiol. 1976;  262 639-657
• 9 Crouter SE, Schneider PL, Karabulut M, Bassett  DR Jr. Validity of 10 electronic pedometers for measuring steps, distance, and energy cost.  Med Sci Sports Exerc. 2003;  35 1455-1460
• 10 Crouter SE, Albright C, Bassett  DR Jr. Accuracy of polar S410 heart rate monitor to estimate energy cost of exercise.  Med Sci Sports Exerc. 2004;  36 1433-1439
• 11 Elliott BC, Roberts AD. A biomechanical evaluation of the role of fatigue in middle-distance running.  Can J Appl Sport Sci. 1980;  5 203-207
• 12 Eslinger DW, Probert A, Gorber SC, Bryan S, Laviolette M, Tremblay MS. Validity of the Actical accelerometer step-count function.  Med Sci Sports Exerc. 2007;  39 1200-1204
• 13 Eston RG, Lemmey AB, MacHugh P, Byrne C, Walsh SE. Effect of stride length on symptoms of exercise-induced muscle damage during a repeated bout of downhill running.  Scand J Med Sci Sports. 2000;  10 199-204
• 14 Gardner AS, Stephens S, Martin DT, Lawton E, Lee H, Jenkins D. Accuracy of SRM and power tap power monitoring systems for bicycling.  Med Sci Sports Exerc. 2004;  36 1252-1258
• 15 Hausswirth C, Lehénaff D. Physiological demands of long distance running.  Sports Med. 2001;  31 678-689
• 16 Högberg P. How do stride length and stride frequency influence the energy-output during running?.  Arbeitsphysiologie. 1952;  14 437-441
• 17 Howley ET, Bassett Jr DR, Welch HG. Criteria for maximal oxygen uptake: review and commentary.  Med Sci Sports Exerc. 1995;  27 1292-1301
• 18 Hunter I, Smith G. Preferred and optimal stride frequency, stiffness and economy: changes with fatigue during a 1-h high-intensity run.  Eur J Appl Physiol. 2007;  100 653-661
• 19 Jones FP, Hanson JA. Fatigue effects on patterns of movement.  Ergonomics. 1971;  14 391-410
• 20 Mac Naughton LR, Sherman R, Roberts S, Bentley DJ. Portable gas analyser Cosmed K4b² compared to a laboratory based mass spectrometer system.  J Sports Med Phys Fitness. 2005;  45 315-323
• 21 Mastroianni GR, Zupan MF, Chuba DM, Berger RC, Wile AL. Voluntary pacing and energy cost of off-road cycling and running.  Appl Ergon. 2000;  31 479-485
• 22 Nelson RC, Gregor RJ. Biomechanics of distance running: a longitudinal study.  Res Q. 1976;  47 417-428
• 23 Nummela AT, Leena L, Paavolainen M, Sharwood KA, Lambert MI, Noakes TD, Rusko HK. Neuromuscular factors determining 5 km running performance and running economy in well-trained athletes.  Eur J Appl Physiol. 2006;  97 1-8
• 24 O’Toole ML, Douglas PS, Hiller WD. Use of heart rate monitors by endurance athletes: lessons from triathletes.  J Sports Med Phys Fitness. 1998;  38 181-187
• 25 Pyne DB, Boston T, Martin DT, Logan A. Evaluation of the Lactate Pro blood lactate analyser.  Eur J Appl Physiol. 2000;  82 112-116
• 26 St Clair Gibson A, Lambert EV, Rauch LH, Tucker R, Baden DA, Foster C, Noakes TD. The role of information processing between the brain and peripheral physiological systems in pacing and perception of effort.  Sports Med. 2006;  36 705-722
• 27 Saito M, Kobayani K, Miyashita M, Hoshikawa T. Temporal patterns in running. In: Nelson RC, Morehouse CA, eds. Biomechanics IV. Baltimore: University Park Press 1974: 106-111
• 28 Smith DJ, Norris SR, Hogg JM. Performance evaluation of swimmers: scientific tools.  Sports Med. 2002;  32 539-554
• 29 Snutz Y, Herren R. Assessment of speed of human locomotion using a differential satellite global positioning system.  Med Sci Sports Exerc. 2000;  32 642-646
• 30 Snyder AC, Woulfe T, Welsh R, Foster C. A simplified approach to estimating the maximal lactate steady state.  Int J Sports Med. 1994;  5 255-261
• 31 Taylor CR. Force development during sustained locomotion: a determinant of gait speed and metabolic power.  J Exp Biol. 1985;  115 253-262
• 32 Townshend AD, Worringham CJ, Stewart IB. Assessment of speed and position during human locomotion using non-differential GPS.  Med Sci Sports Exerc. 2008;  40 124-132
• 33 Tucker R, Lambert MI, Noakes TD. An analysis of pacing strategies during men's world-record performances in track athletics.  Int J Sports Physiol Perf. 2006;  1 233-245

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