Extra excitation of biceps femoris during neuromuscular electrical stimulation reduces knee medial loading

Xu, Rui; Ming, Dong; Ding, Ziyun; Bull, Anthony M.J.

doi:10.1098/rsos.181545

Cited by 4 publications

(2 citation statements)

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“…For example, high articular joint contact forces are implicated in the generation and progression of osteoarthritis (OA) ( Felson 2013 ), and can be used to design implants for total hip ( Heller et al, 2011 ) and knee replacement surgeries ( Smith et al, 2016 ). Muscle forces also offer insight into the neuromuscular strategies in healthy and pathological movement, thus, provide potential targets to plan and evaluate rehabilitation programs ( Rane and Bull 2016 ; Xu et al, 2019 ). In vivo musculoskeletal (MSK) loads have been investigated widely in walking as it is the most common ADL.…”

Section: Introductionmentioning

confidence: 99%

“…FreeBody is a segment-based 3D MSK modelling software ( Cleather and Bull 2015 ), which has been validated for the prediction of in vivo knee contact forces during different ADLs, generating encouraging results ( Ding et al, 2016 ). The validated model has provided the means to investigate the efficacy of clinical interventions that reduced knee contact forces during gait ( Rane and Bull 2016 ; Azmi et al, 2018 ; Xu et al, 2019 ). However, FreeBody has not been validated for the prediction of hip joint contact forces.…”

Section: Introductionmentioning

confidence: 99%

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Prediction of in vivo hip contact forces during common activities of daily living using a segment-based musculoskeletal model

Amiri

Bull

2022

Front. Bioeng. Biotechnol.

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Background: Quantifying in vivo hip muscle and contact forces during activities of daily living (ADL) provides valuable information for diagnosis and treatment of hip-related disorders. The objective of this study was to utilize Freebody, a segment-based musculoskeletal model, for the prediction of hip contact forces using a novel objective function during seven common ADLs and validate its performance against the publicly available HIP98 dataset.Methods: Marker data, ground reaction forces, and hip contact forces during slow, normal, and fast walking, stair ascent and descent, and standing up and sitting down were extracted for 3 subjects from the HIP98 dataset. A musculoskeletal anatomical dataset was scaled to match the dimensions of each subject, and muscle and hip contact forces were estimated by minimizing a novel objective function, which was the summation of the muscle stresses squared and body weight-normalised hip contact force. The accuracy of predictions were quantified using several metrics, and muscle forces were qualitatively compared to experimental EMGs in the literature.Results: FreeBody predicted the hip contact forces during the ADLs with encouraging accuracy: The root mean squared error of predictions were 44.0 ± 8.5, 47.4 ± 6.5, and 59.8 ± 7.1% BW during slow, normal, and fast walking, 44.2 ± 16.8% and 53.3 ± 12.2% BW for stair ascent and descent, and 31.8 ± 8.2% and 17.1 ± 5.0% BW for standing up and sitting down, respectively. The error in prediction of peak hip contact forces were 14–18%, 24–28%, 17–35% for slow, normal, and fast walking, 7–25% and 15–32% in stair ascent and descent, and around 10% for standing up and sitting down. The coefficient of determination was larger than 0.90 in all activities except in standing up (0.86 ± 0.08).Conclusion: This study has implemented a novel objective function in a segment-based musculoskeletal model, FreeBody, for the prediction of hip contact forces during a large range of ADLs. The model outputs compare favourably for all ADLs and are the best in standing up and sitting down, while muscle activation patterns are consistent with experimental EMGs from literature. This new objective function addresses one of the major limitations associated with musculoskeletal models in the literature, namely the high non-physiological predicted hip joint contact forces.

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