A time to exhaustion model during prolonged running based on wearable accelerometers

ABSTRACT

Defining relationships between running mechanisms and fatigue can be a major asset for optimising training. This article proposes a biomechanical model of time to exhaustion according to indicators derived from accelerometry data collected from the body. Ten volunteers were recruited for this study. The participants were equipped with 3 accelerometers: on the right foot, at the tibia and at the L4-L5 lumbar spine. A running test was performed on a treadmill at 13.5 km/h until exhaustion. Thirty-one variables were deployed during the test. Multiple linear regressions were calculated to explain the time to exhaustion from the indicators calculated on the lumbar, tibia and foot individually and simultaneously. Time to exhaustion was predicted for simultaneous measurement points with $r^2=0.792$ and 21 indicators; for the lumbar with $r^2=0.568$ and 11 indicators; for the tibia with $r^2=558$ and 11 indicators; and for the foot with $r^2=0.626$ and 12 indicators. This study allows the accurate modelling of the time to exhaustion during a running-based test using indicators from accelerometer measurements. The individual models highlight that the location of the measurement point is important and that each location provides different information. Future studies should focus on homogeneous populations to improve predictions and errors.

KEYWORDS:

• Stepwise regression
• biomechanical model
• sport
• fatigue

Disclosure statement

No potential conflict of interest was reported by the authors.

Additional information

Funding

These investigations were financially supported by the Champagne-Ardenne region and the European Fund of Regional Development (FEDER).