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A Method for Quantifying Upper Limb Performance in Daily Life Using Accelerometers
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Accelerometer Based Data Can Provide a Better Estimate of Cumulative Load During Running Compared to GPS Based
Benedicte Vanwanseele1, Tim Op De Beéck2, Kurt Schütte1
1Human Movement Biomechanics, Department of Movement Sciences, KU Leuven, Leuven, Belgium.
Frontiers in Sports and Active Living
|December 21, 2020
Summary
Wearable sensors can estimate running load, helping prevent injuries. Accelerometers explain 80% of impact forces, but GPS data only accounts for 70% of cumulative load during training.
Area of Science:
- Biomechanics
- Sports Medicine
- Wearable Technology
Background:
- Running is a popular exercise with significant health benefits.
- Millions of runners experience injuries annually due to musculoskeletal load exceeding tolerance.
- Accurate estimation of cumulative running load is crucial for injury prevention.
Purpose of the Study:
- To validate a wearable system for estimating external running load.
- To investigate the extent to which GPS parameters explain cumulative running load.
Main Methods:
- Ground reaction forces and 3D accelerations were measured in nine runners on an instrumented treadmill at varying speeds.
- Linear regression analysis was used to correlate acceleration and GRF.
- Accelerometer and GPS data were collected during 498 running sessions from 96 runners.
Main Results:
- Peak vertical acceleration explained 80% of peak vertical ground reaction forces (GRF).
- Duration, distance, speed, and step count explained only 70% of the cumulative load (sum of peak vertical accelerations).
Conclusions:
- Wearable devices can provide improved estimates of cumulative running load.
- This technology can potentially guide runners in safely progressing their training.
- Further research may refine load estimation using wearable sensor data.
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