Reliability of Trail Walking and Running Tasks Using the Stryd Power Meter

Abstract

Footpod monitors are wearable devices attaching to the shoe with the ability to sense oscillations in leg movement; however, few studies provide reliability. The purpose was to provide reliability data for outdoor tasks as measured by the Stryd Power Meter, which is a footpod monitor. Young healthy individuals (N=20, male n=12, female n=8) completed two 5-min self-paced walks along a trail, and two 5-min trail runs. Reliability of the tasks was determined using Coefficient of Variation (CV), Intraclass Correlation (ICC), and 95% confidence intervals (CI). Measures during trail running that returned a CV less than 10%, met the ICC threshold of 0.70, and displayed good to excellent 95% CI included pace, average elapsed power, average elapsed form power, average elapsed leg spring, and vertical oscillation. The only variable during walking to meet these criteria was maximal power (CV=4.02%, ICC=0.968, CI=0.902, 0.989). Running tasks completed on a trail generally return more consistent measures for variables that can be obtained from the Stryd footpod device than walking tasks.

Mechanical Power in Endurance Running: A Scoping Review on Sensors for Power Output Estimation during Running

“…With this in mind the measurement of spatiotemporal parameters is essential for an accurate power estimation. Regarding this, some studies have shown good reliability of wearable sensors when measuring such parameters [ 11 , 12 , 13 , 14 , 15 ]. García-Pinillos and colleagues [ 11 ], over a speed incremental running protocol on a treadmill, tested the reliability of Stryd for running spatiotemporal parameters (i.e., contact time, flight time, step length, and step frequency) against a proved reliable photoelectric cell system for such purpose (i.e., Optogait system) [ 56 ].…”

“…Although the validity and reliability of a wide array of wearable sensors have been shown for running spatiotemporal parameters measurement and they seem to be related with PW estimation [ 11 , 12 , 13 , 14 , 15 ], a deeper knowledge on PW in endurance running and a proper understanding on the use of power meters to quantify workload would be an outstanding step forward towards a new boundary within running training and performance. There is a need to measure training intensity with precision and wearable sensors might help monitor the training-induced stress and, although previous review articles have been focused on power data while running [ 16 , 17 ], none of those concentrated on validity and reliability of such wearables for running PW analysis.…”

Validity of the Stryd Power Meter in Measuring Running Parameters at Submaximal Speeds

“…After checking the length of the track (200 m following the inner line), participants started to run right after the force platforms set up, spreading out over 9 m (Figure 1). The recorded sequences were matched by subtracting 9 m to each 200 m estimated by the power meter, assuming that the Stryd device measures distance reliably [31]. To keep one value for each metric of interest, values were averaged over this distance and over the three force platforms.…”

Validity and Reliability of Three Commercially Available Smart Sports Bras during Treadmill Walking and Running

“…(MAPE), Bland-Altman bias and Limits of Agreement (LOA) for repeated samples with accompanying and 95% confidence intervals (CI), and Intraclass Correlations (ICC) (IBM SPSS, IBM Statistics version 24.0, Armonk, NY). MAPE considered acceptable if within 5%, and ICC acceptable if greater than 0.70 with a p-value was less than 0.05 46 .…”

“…Absolute reliability was determined through the Coefficient of Variation (CV), and considered consistent if less than 10% 46 . Test-retest reliability was determined through ICC analysis, with average measures ICC and 95% CI reported.…”