Validation of a wireless shoe insole for ground reaction force measurement

Burns, Geoffrey T.; Zendler, Jessica Deneweth; Zernicke, Ronald F.

doi:10.1080/02640414.2018.1545515

Cited by 82 publications

(101 citation statements)

References 27 publications

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“…Probably the most intuitive method is by using instrumented insoles, which are typically worn in or under the shoe and provide a summed measure of the pressure that the foot exerts on the ground [51]. Although pressure insoles can estimate GRF for running and jumping fairly well [52,53,54,55,56], their compromised accuracy for high-intensity movements [52,54,55,56] and practical limitations (e.g. movement restrictions, added mass in the shoe, discomfort) [52], leaves the feasibility of using insoles for monitoring GRF on a large-scale in the field currently still questionable.…”

Section: Whole-body Loadsmentioning

confidence: 99%

Measuring biomechanical loads in team sports – from lab to field

Verheul

Nedergaard

Vanrenterghem

et al. 2020

Science and Medicine in Football

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The benefits of differentiating between the physiological and biomechanical load-response pathways in football and other (team) sports have become increasingly recognised. In contrast to physiological loads however, the biomechanical demands of training and competition are still not well understood, primarily due to the difficulty of quantifying biomechanical loads in a field environment. Although musculoskeletal adaptation and injury are known to occur at a tissue level, several biomechanical load metrics are available that quantify loads experienced by the body as a whole, its different structures and the individual tissues that are part of these structures. This paper discusses the distinct aspects and challenges that are associated with measuring biomechanical loads at these different levels in laboratory and/or field contexts. Our hope is that through this paper, sport scientists and practitioners will be able to critically consider the value and limitations of biomechanical load metrics and will keep pursuing new methods to measure these loads within and outside the lab, as a detailed load quantification is essential to better understand the biomechanical load-response pathways that occur in the field.

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Section: Whole-body Loadsmentioning

confidence: 99%

Measuring biomechanical loads in team sports – from lab to field

Verheul

Nedergaard

Vanrenterghem

et al. 2020

Science and Medicine in Football

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“…Foot pressure Foot pressure can be measured using several wearable insoles that capture the force acting normal to the surface of each sensor (Burns, Deneweth Zendler, & Zernicke, 2018;Renner, Williams, & Queen, 2019;Seiberl, Jensen, Merker, Leitel, & Schwirtz, 2018;Stoggl & Martiner, 2017). Increases in insole pressure are often assumed to reflect increases in internal tissue loading, which is important to quantify for injury prevention.…”

Section: Feedback Frequencymentioning

confidence: 99%

“…Pressure insoles often aim to estimate ground reaction forces. The validity of pressure insoles to estimate vertical ground reaction forces differs between systems as these have been found to both overestimate (Burns et al, 2018) and underestimate (Renner et al, 2019;Seiberl et al, 2018;Stoggl & Martiner, 2017) vertical ground reaction forces compared to force platforms. Further, differences often become larger with higher speeds due to limited sampling frequencies of wearable insoles.…”

Section: Feedback Frequencymentioning

confidence: 99%

Real-time feedback by wearables in running: Current approaches, challenges and suggestions for improvements

Hooren

Goudsmit

Restrepo

et al. 2019

Journal of Sports Sciences

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Injuries and lack of motivation are common reasons for discontinuation of running. Real-time feedback from wearables can reduce discontinuation by reducing injury risk and improving performance and motivation. There are however several limitations and challenges with current real-time feedback approaches. We discuss these limitations and challenges and provide a framework to optimise realtime feedback for reducing injury risk and improving performance and motivation. We first discuss the reasons why individuals run and propose that feedback targeted to these reasons can improve motivation and compliance. Secondly, we review the association of running technique and running workload with injuries and performance and we elaborate how real-time feedback on running technique and workload can be applied to reduce injury risk and improve performance and motivation. We also review different feedback modalities and motor learning feedback strategies and their application to real-time feedback. Briefly, the most effective feedback modality and frequency differ between variables and individuals, but a combination of modalities and mixture of real-time and delayed feedback is most effective. Moreover, feedback promoting perceived competence, autonomy and an external focus can improve motivation, learning and performance. Although the focus is on wearables, the challenges and practical applications are also relevant for laboratory-based gait retraining.

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“…Wireless force sensing insoles are novel low-cost alternative to traditional embedded force plates for collection of clinical and research data. Loadsol® (Novel, Munich, Germany) insoles measure vertical ground reaction force experienced at the plantar surface of the foot (and contact times) during stance phase of gait, with excellent validity and reproducibility for walking, running [12,13], jumping, and hopping [14,15]. One advantage of wireless force sensing insoles is the ability to collect data on multiple steps when running in varied locations such as the eld of play or in reduced gravity treadmills.…”

Section: Introductionmentioning

confidence: 99%

Effect of Speed and Gradient on Plantar Force When Running on an AlterG® Treadmill.

Thomson

Whiteley

Hansen

et al. 2020

Preprint

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Background Anti-gravity treadmills are used to decrease musculoskeletal loading during treadmill running often in return to play rehabilitation programs. The effect different gradients (uphill/downhill running) have on kinetics and spatiotemporal parameters when using an AlterG® treadmill is unclear with previous research focused on level running only. Methods Ten well-trained healthy male running athletes ran on the AlterG® treadmill at varying combinations of bodyweight support (60%, 80%, and 100% BW), speed (12 km/hr, 15 km/hr, 18 km/hr, 21 km/hr, and 24 km/hr), and gradients (-15% decline, -10, -5, 0, + 5, +10 + 15% incline), representing a total of 78 conditions performed in random order. Maximum plantar force and contact time were recorded using a wireless in-shoe force sensor insole system. Results Regression analysis showed a linear relationship for maximum plantar force with bodyweight support and running speeds for level running (p < 0.0001, adj. R² = 0.604). The linear relationship, however, does not hold for negative gradients at speeds 12 & 15 km/h, with a relative ‘dip’ in maximum plantar force across all assisted bodyweight settings. Conclusions Maximum plantar force peaks are larger with faster running and smaller with more AlterG® assisted bodyweight support (athlete unweighing). Gradient made little difference except for a downhill grade of -5% decreasing force peaks as compared to level or uphill running.

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Validation of a wireless shoe insole for ground reaction force measurement

Cited by 82 publications

References 27 publications

Measuring biomechanical loads in team sports – from lab to field

Measuring biomechanical loads in team sports – from lab to field

Real-time feedback by wearables in running: Current approaches, challenges and suggestions for improvements

Effect of Speed and Gradient on Plantar Force When Running on an AlterG® Treadmill.

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