Definition of the lower extremity overuse: A review

Nesterovica, Darja

doi:10.1051/shsconf/20208502006

Cited by 2 publications

(1 citation statement)

References 29 publications

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“…A lower extremity overuse injury is defined as an injury that is caused by a high physical load because of an incomplete repair process and with a gradual onset. It is characterized by progressive symptoms, the absence of a known single traumatic event and the lack of a recovery period (Nesterovica (2020)). Subjects were prospectively followed during a 6 month period with similar loading, to answer the next two key questions for a study population consisting of male and female, first-year students:…”

Section: Introductionmentioning

confidence: 99%

Machine-learned-based prediction of lower extremity overuse injuries using pressure plates

Nuyts

Brabandere

Rossom

et al. 2022

Front. Bioeng. Biotechnol.

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Although running has many benefits for both the physical and mental health, it also involves the risk of injuries which results in negative physical, psychological and economical consequences. Those injuries are often linked to specific running biomechanical parameters such as the pressure pattern of the foot while running, and they could potentially be indicative for future injuries. Previous studies focus solely on some specific type of running injury and are often only applicable to a gender or running-experience specific population. The purpose of this study is, for both male and female, first-year students, (i) to predict the development of a lower extremity overuse injury in the next 6 months based on foot pressure measurements from a pressure plate and (ii) to identify the predictive loading features. For the first objective, we developed a machine learning pipeline that analyzes foot pressure measurements and predicts whether a lower extremity overuse injury is likely to occur with an AUC of 0.639 and a Brier score of 0.201. For the second objective, we found that the higher pressures exerted on the forefoot are the most predictive for lower extremity overuse injuries and that foot areas from both the lateral and the medial side are needed. Furthermore, there are two kinds of predictive features: the angle of the FFT coefficients and the coefficients of the autoregressive AR process. However, these features are not interpretable in terms of the running biomechanics, limiting its practical use for injury prevention.

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Section: Introductionmentioning

confidence: 99%

Machine-learned-based prediction of lower extremity overuse injuries using pressure plates

Nuyts

Brabandere

Rossom

et al. 2022

Front. Bioeng. Biotechnol.

View full text Add to dashboard Cite

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Impact of Gender and Feature Set on Machine-Learning-Based Prediction of Lower-Limb Overuse Injuries Using a Single Trunk-Mounted Accelerometer

Bogaert

Davis

Rossom

et al. 2022

Sensors

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Even though practicing sports has great health benefits, it also entails a risk of developing overuse injuries, which can elicit a negative impact on physical, mental, and financial health. Being able to predict the risk of an overuse injury arising is of widespread interest because this may play a vital role in preventing its occurrence. In this paper, we present a machine learning model trained to predict the occurrence of a lower-limb overuse injury (LLOI). This model was trained and evaluated using data from a three-dimensional accelerometer on the lower back, collected during a Cooper test performed by 161 first-year undergraduate students of a movement science program. In this study, gender-specific models performed better than mixed-gender models. The estimated area under the receiving operating characteristic curve of the best-performing male- and female-specific models, trained according to the presented approach, was, respectively, 0.615 and 0.645. In addition, the best-performing models were achieved by combining statistical and sports-specific features. Overall, the results demonstrated that a machine learning injury prediction model is a promising, yet challenging approach.

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Definition of the lower extremity overuse: A review

Cited by 2 publications

References 29 publications

Machine-learned-based prediction of lower extremity overuse injuries using pressure plates

Machine-learned-based prediction of lower extremity overuse injuries using pressure plates

Impact of Gender and Feature Set on Machine-Learning-Based Prediction of Lower-Limb Overuse Injuries Using a Single Trunk-Mounted Accelerometer

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