Reliability and Validity of Running Step Rate Derived From a Novel Wearable Smart Patch
Open Access
- 4 March 2024
- journal article
- research article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Sensors Journal
- Vol. 24 (9) , 14343-14351
Abstract
A novel, wearable, stretchable Smart Patch can monitor various aspects of physical activity, including the dynamics of running. However, like any new device developed for such applications, it must first be tested for validity and reliability. Here, we compare the step rate while running on a treadmill measured by this smart patch with the corresponding values obtained with the ”gold standard” OptoGait, as well as with other devices commonly used to assess running dynamics, i.e., the MEMS accelerometer and commercially available and widely used Garmin Running Dynamic Pod. The 14 healthy, physically active volunteers completed two identical sessions with a 5-minute rest between. Each session involved two one-minute runs at 11 km/h and 14 km/h separated by a one-min rest. The major finding was that the Smart Patch demonstrated fair to good test-retest reliability. The best test-retest reliability for the Running Pod was observed in connection with running at 11 km/h and both velocities combined (good and excellent, respectively) and for the OptoGait when running at 14 km/h (good). The best concurrent validity was achieved with the Smart Patch, as reflected in the highest Pearson correlation coefficient for this device when running at 11 or 14 km/h, as well as for both velocities combined. In conclusion, this study demonstrates that the novel wearable Smart Patch shows promising reliability and excellent concurrent validity in measuring step rate during treadmill running, making it a viable tool for both research and practical applications in sports and exercise science.Keywords
Funding Information
- European Union’s Horizon 2020 Research and Innovation Program (824984)
- Slovenian Research and Innovation Agency under Research Core Funding (P5-0147)
This publication has 32 references indexed in Scilit:
- Disruptive, Soft, Wearable SensorsAdvanced Materials, 2019
- Self-powered smart patch for sweat conductivity monitoringMicrosystems & Nanoengineering, 2019
- Self-powered wireless smart patch for healthcare monitoringNano Energy, 2017
- Use of wearable technology for performance assessment: A validation studyMedical Engineering & Physics, 2015
- Agreement between temporal and spatial gait parameters from an instrumented walkway and treadmill system at matched walking speedGait & Posture, 2013
- Estimation of spatial-temporal gait parameters in level walking based on a single accelerometer: Validation on normal subjects by standard gait analysisComputer Methods and Programs in Biomedicine, 2012
- Step Frequency and Lower Extremity Loading During RunningInternational Journal of Sports Medicine, 2012
- Gait retraining to reduce lower extremity loading in runnersClinical Biomechanics, 2011
- Assessment of spatio-temporal gait parameters from trunk accelerations during human walkingGait & Posture, 2003
- Criteria for assessing the tools of disability outcomes researchArchives of Physical Medicine and Rehabilitation, 2000