Power or speed: Which metric is more accurate for modelling endurance running performance on track?

被引:0
|
作者
Ruiz-Alias, Santiago A. [1 ,2 ]
Nancupil-Andrade, Alberto A. [1 ,2 ,3 ]
Perez-Castilla, Alejandro [4 ,5 ]
Garcia-Pinillos, Felipe [1 ,2 ,6 ]
机构
[1] Univ Granada, Fac Sport Sci, Dept Phys Educ & Sports, Carretera Alfacar 21, Granada 18011, Spain
[2] Univ Granada, Sport & Hlth Univ Res Ctr IMUDS, C Menendez Pelayo 32, Granada 18016, Spain
[3] Los Lagos Univ, Dept Hlth, Puerto Montt, Chile
[4] Univ Almeria, Fac Educ Sci, Dept Educ, Almeria, Spain
[5] Univ Almeria, CIBIS Ctr Invest Bienestar & Inclus Social, SPORT Res Grp, CTS 1024,Res Ctr, Almeria, Spain
[6] Univ La Frontera, Dept Phys Educ Sports & Recreat, Temuco, Chile
关键词
endurance performance; modelling; running; CONSTANT; WORK;
D O I
10.1002/ejsc.12210
中图分类号
G8 [体育];
学科分类号
04 ; 0403 ;
摘要
This study aimed to compare the accuracy of the power output, measured by a power meter, with respect to the speed, measured by an inertial measurement unit (IMU) and a global navigation satellite system (GNSS) sport watch to determine the critical power (CP) and speed (CS), work over CP (W') and CS (D'), and long-duration performance (i.e., 60 min). Fifteen highly trained athletes randomly performed seven time trials on a 400 m track. The CP/CS and W'/D' were defined through the inverse of time model using the 3, 4, 5, 10, and 20 min trials. The 60 min performance was estimated through the power law model using the 1, 3, and 10 min trials and compared with the actual performance. A lower standard error of the estimate was obtained when using the power meter (CP: 2.7 [2.1-3.3] % and W': 13.8 [10.4-17.3] %) compared to the speed reported by the IMU (CS: 3.4 [2.5-4.3] %) and D': 20.7 [16.6-24.7] %) and GNSS sport watch (CS: 3.4 [2.5-4.3] % and D': 20.6 [16.7-24.7] %). A lower coefficient of variation was also observed for the power meter (4.9 [3.7-6.1] %) Regarding the speed reported by the IMU (10.9 [7.1-14.8] %) and GNSS sport watch (10.9 [7.0-14.7] %) in the 60 min performance estimation, the power meter offered lower errors than the IMU and GNSS sport watch for modelling endurance performance on the track. Recent advances in wearable technology are creating new opportunities to accurately monitor running intensity in contexts where precision is essential (i.e., track running) for athletes' (e.g., pacing) and coaches' (e.g., performance analysis) tasks. The track mode of recent global navigation satellite system (GNSS) sport watches seems to offer a decent improvement. Alternatively, new inertial measurement units (IMUs) designed specifically for running have emerged offering the capability to monitor distance in specific contexts such as treadmills and indoor tracks. Additionally, these IMUs provide new metrics of the external load. The power meter provided by the Stryd inertial measurement unit (IMU) demonstrated lower estimation errors in modelling endurance running performance on the track compared to speed data reported by the same IMU and a Garmin GNSS sports watch (using the track mode).
引用
收藏
页码:1597 / 1603
页数:7
相关论文
共 40 条
  • [1] Genetic score of power-speed and endurance track and field athletes
    Ben-Zaken, S.
    Meckel, Y.
    Nemet, D.
    Eliakim, A.
    SCANDINAVIAN JOURNAL OF MEDICINE & SCIENCE IN SPORTS, 2015, 25 (02) : 166 - 174
  • [2] Incremental test design, peak 'aerobic' running speed and endurance performance in runners
    Machado, Fabiana A.
    Kravchychyn, Ana Claudia P.
    Peserico, Cecilia S.
    da Silva, Danilo F.
    Mezzaroba, Paulo V.
    JOURNAL OF SCIENCE AND MEDICINE IN SPORT, 2013, 16 (06) : 577 - 582
  • [3] Effect of speed endurance and strength training on performance, running economy and muscular adaptations in endurance-trained runners
    Jacob Vorup
    Jonas Tybirk
    Thomas P. Gunnarsson
    Tanja Ravnholt
    Sarah Dalsgaard
    Jens Bangsbo
    European Journal of Applied Physiology, 2016, 116 : 1331 - 1341
  • [4] Effect of speed endurance and strength training on performance, running economy and muscular adaptations in endurance-trained runners
    Vorup, Jacob
    Tybirk, Jonas
    Gunnarsson, Thomas P.
    Ravnholt, Tanja
    Dalsgaard, Sarah
    Bangsbo, Jens
    EUROPEAN JOURNAL OF APPLIED PHYSIOLOGY, 2016, 116 (07) : 1331 - 1341
  • [5] The effect of repeated periods of speed endurance training on performance, running economy, and muscle adaptations
    Skovgaard, C.
    Almquist, N. W.
    Bangsbo, J.
    SCANDINAVIAN JOURNAL OF MEDICINE & SCIENCE IN SPORTS, 2018, 28 (02) : 381 - 390
  • [6] EFFECTS OF CYCLING VS. RUNNING TRAINING ON ENDURANCE PERFORMANCE IN PREPARATION FOR INLINE SPEED SKATING
    Stangier, Carolin
    Abel, Thomas
    Hesse, Clemens
    Classen, Stephanie
    Mierau, Julia
    Hollmann, Wildor
    Strueder, Heiko K.
    JOURNAL OF STRENGTH AND CONDITIONING RESEARCH, 2016, 30 (06) : 1597 - 1606
  • [7] Agency on a fast track: An insatiable desire for more speed and more power drives the publishing industry forward
    Hill, Cherry
    Publishing & Production Executive, 1995, 9 (08):
  • [8] Modelling performance with exponential functions in elite short-track speed skaters
    Borrani, Fabio
    Solsona, Robert
    Candau, Robin
    Meline, Thibaut
    Sanchez, Anthony M. J.
    JOURNAL OF SPORTS SCIENCES, 2021, 39 (20) : 2378 - 2385
  • [9] Simulated patient versus clinician marking of doctors' performance: which is more accurate?
    Thistlethwaite, J
    MEDICAL EDUCATION, 2004, 38 (04) : 456 - 456
  • [10] Modelling of Running Performances: Comparisons of Power-Law, Hyperbolic, Logarithmic, and Exponential Models in Elite Endurance Runners
    Vandewalle, H.
    BIOMED RESEARCH INTERNATIONAL, 2018, 2018