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3. The History and Future of Neuromusculoskeletal Biomechanics.

Author

Lloyd, David G., Jonkers, Ilse, Delp, Scott L., and Modenese, Luca

Subjects
SKELETAL muscle physiology, JOINT physiology, CENTRAL nervous system physiology, TENDON physiology, PERIPHERAL nervous system physiology, SERIAL publications, MUSCULOSKELETAL system physiology, BIOMECHANICS
Abstract

The Executive Council of the International Society of Biomechanics has initiated and overseen the commemorations of the Society's 50th Anniversary in 2023. This included multiple series of lectures at the ninth World Congress of Biomechanics in 2022 and XXIXth Congress of the International Society of Biomechanics in 2023, all linked to special issues of International Society of Biomechanics' affiliated journals. This special issue of the Journal of Applied Biomechanics is dedicated to the biomechanics of the neuromusculoskeletal system. The reader is encouraged to explore this special issue which comprises 6 papers exploring the current state-of the-art, and future directions and roles for neuromusculoskeletal biomechanics. This editorial presents a very brief history of the science of the neuromusculoskeletal system's 4 main components: the central nervous system, musculotendon units, the musculoskeletal system, and joints, and how they biomechanically integrate to enable an understanding of the generation and control of human movement. This also entails a quick exploration of contemporary neuromusculoskeletal biomechanics and its future with new fields of application. [ABSTRACT FROM AUTHOR]

Published
2023
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16. Hip contact force prediction using a musculoskeletal model of the lower limb

Author

Modenese, Luca, Bull, Anthony, and Phillips, Andrew

Subjects
624
Abstract

A musculoskeletal model of the lower limb has been implemented and assessed in order to be used as a predictive tool to quantify the hip contact force (HCF) vector acting between the femoral head and the pelvic acetabulum. The model is based on a published anatomical dataset, which has been critically revised and extended. The HCFs obtained through the model have been assessed at multiple levels of detail against measurements from instrumented prostheses from a publicly available dataset. In the first instance, a direct comparison has been undertaken in order to verify predicted HCF magnitudes close to the measured and muscle recruitment consistent with electromyographic activation profiles reported in the literature. Secondly, a trend validation was performed to ensure the correct behaviour of the model when the same daily living task (level walking) was performed with different modalities. Finally, a falsification of the model was performed by challenging it to predict the exact components of the measured hip contact forces for both level walking and stair climbing. The closest achievable predictions were also calculated, together with the accuracy of a conventional use of the model not exploiting a priori knowledge of the joint contact forces. Once the assessment of the model was completed, a dataset of anthropometric, kinematic and kinetic data was collected on eight young healthy subjects performing daily living activities. As a demonstration of the potential use of the dataset, a subject specific model was generated and used to estimate HCF direction and magnitude for level walking and stair climbing, the same activities investigated during model validation. The model was further extended in order to include the upper part of the body and potentially analyze full body kinematics and kinetics. A further modified version of the model was finally developed in order to be used in finite elements analyses or more generally in applications requiring equilibrated sets of muscle and joint forces acting on a bone structure, as the highly discretized representation of the muscles makes the model particularly suitable for this kind of use. The developed model has been implemented in the open source software OpenSim and is freely available for download and use in research.

Published
2013

18. Biomechanics, musculoskeletal modelling, hip joint loads prediction, muscle force estimation

Author

Modenese, Luca, Bull, Anthony, and Phillips, Andrew

Subjects
612.7
Abstract

A musculoskeletal model of the lower limb has been implemented and assessed in order to be used as a predictive tool to quantify the hip contact force (HCF) vector acting between the femoral head and the pelvic acetabulum. The model is based on a published anatomical dataset, which has been critically revised and extended. The HCFs obtained through the model have been assessed at multiple levels of detail against measurements from instrumented prostheses from a publicly available dataset. In the first instance, a direct comparison has been undertaken in order to verify predicted HCF magnitudes close to the measured and muscle recruitment consistent with electromyographic activation profiles reported in the literature. Secondly, a trend validation was performed to ensure the correct behaviour of the model when the same daily living task (level walking) was performed with different modalities. Finally, a falsification of the model was performed by challenging it to predict the exact components of the measured hip contact forces for both level walking and stair climbing. The closest achievable predictions were also calculated, together with the accuracy of a conventional use of the model not exploiting a priori knowledge of the joint contact forces. Once the assessment of the model was completed, a dataset of anthropometric, kinematic and kinetic data was collected on eight young healthy subjects performing daily living activities. As a demonstration of the potential use of the dataset, a subject specific model was generated and used to estimate HCF direction and magnitude for level walking and stair climbing, the same activities investigated during model validation. The model was further extended in order to include the upper part of the body and potentially analyze full body kinematics and kinetics. A further modified version of the model was finally developed in order to be used in finite elements analyses or more generally in applications requiring equilibrated sets of muscle and joint forces acting on a bone structure, as the highly discretized representation of the muscles makes the model particularly suitable for this kind of use. The developed model has been implemented in the open source software OpenSim and is freely available for download and use in research.

Published
2012

20. Greater magnitude tibiofemoral contact forces are associated with reduced prevalence of osteochondral pathologies 2–3 years following anterior cruciate ligament reconstruction

Author

Saxby, David John, Bryant, Adam L., Van Ginckel, Ans, Wang, Yuanyuan, Wang, Xinyang, Modenese, Luca, Gerus, Pauline, Konrath, Jason M., Fortin, Karine, Wrigley, Tim V., Bennell, Kim L., Cicuttini, Flavia M., Vertullo, Christopher, Feller, Julian A., Whitehead, Tim, Gallie, Price, and Lloyd, David G.

Published
2019
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40. SIMULATION OF THE HIP MUSCLES KINEMATICS DURING GAIT USING HIGHLY DISCRETISED ANATOMICAL MODELS

Author

Modenese, Luca, Caillet, Arnault, Favier, Clement, Phillips, Andrew TM, and Kohout, Josef

Subjects
muscle anatomy, musculoskeletal modelling, biomechanics
Abstract

submitted to the 26th Congress of the ESB (ESBiomech2020) in Milan, Italy. The conference was postponed to July 2021 due to the COVID-19 pandemic., This work was supported by an Imperial College Research Fellowship to LM, a Skempton doctoral scholarship to AC and the Czech Ministry of Education, Youth and Sports, project PUNTIS (LO1506) to JK.

Published
2020
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45. Integration of external knee joint loads in the pre surgical planning of high tibial osteotomy : a proof of concept study

Author

Modenese, Luca, Jaere, Martin, Jones, Gareth G, Phillips, Andrew TM, McGregor, Alison H, and Cobb, Justin P

Subjects
modelling, high tibial osteotomy, biomechanics
Abstract

submitted to the XXVII Congress of the International Society of Biomechanics (ISB2019) and 43rd Annual Meeting of the American Society of Biomechanics (ASB2019)., LM was supported by an Imperial College Research Fellowship.

Published
2019
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46. Linking Joint Impairment and Gait Biomechanics in Patients with Juvenile Idiopathic Arthritis

Author

Montefiori, Erica, Modenese, Luca, Di Marco, Roberto, Magni-Manzoni, Silvia, Malattia, Clara, Petrarca, Maurizio, Ronchetti, Anna, de Horatio, Laura Tanturri, van Dijkhuizen, Pieter, Wang, Anqi, Wesarg, Stefan, Viceconti, Marco, Mazza, Claudia, Montefiori, Erica, Modenese, Luca, Di Marco, Roberto, Magni-Manzoni, Silvia, Malattia, Clara, Petrarca, Maurizio, Ronchetti, Anna, de Horatio, Laura Tanturri, van Dijkhuizen, Pieter, Wang, Anqi, Wesarg, Stefan, Viceconti, Marco, and Mazza, Claudia

Published
2019

47. Muscular stabilisation of the knee and development of automated and tuned subject-specific musculoskeletal models for gait simulations

Author

David Lloyd, David, Modenese, Luca, Saxby, David, Killen, Bryce A., David Lloyd, David, Modenese, Luca, Saxby, David, and Killen, Bryce A.

Abstract

Full Text, Thesis (PhD Doctorate), Doctor of Philosophy (PhD), School Allied Health Sciences, Griffith Health, Computational models of the human musculoskeletal system allow researchers to investigate human biomechanics without the need for invasive methods or expensive experiments. These models can be combined with standard motion capture technology to simulate individual’s movement patterns. With relatively little data processing, the model’s joint kinematics can be calculated along with joint kinetics, thus characterising an individual’s generalised joint coordinates (i.e., joint motion) and external joint loads. Without and with the incorporation of electromyograms (EMG) acquired during these tasks, further methods can be employed to estimate muscle forces and subsequently joint contact loading (Lloyd and Besier, 2003; Pandy and Andriacchi, 2010; Pizzolato et al., 2015; Sartori et al., 2012a; Sasaki and Neptune, 2010; Saxby et al., 2016b; Sritharan et al., 2012; Winby et al., 2009). Indeed, substantial research has focused on developing methods for estimating the magnitude of the joint contact loading within the tibiofemoral joint (TFJ) during a range of locomotion tasks (Fregly et al., 2012; Gerus et al., 2013; Kim et al., 2009). Understanding typical TFJ contact loading is crucial, as the magnitude of joint contact loading has been associated with the development and progression of TFJ osteoarthritis (Andriacchi and Mundermann, 2006). Tibiofemoral joint contact loading is primarily caused by muscles, which act to compress the joint (Sasaki, 2010). Although net and grouped muscle contributions to TFJ contact loading has previously been investigated during walking gait (Pandy and Andriacchi, 2010; Sasaki and Neptune, 2010; Saxby et al., 2016b; Sritharan et al., 2012; Winby et al., 2009), other locomotion tasks such as running and sidestep cutting, herein referred to as sidestepping remain largely unexplored. Along with the loading magnitude, other loading parameters may play a vital role influencing joint health, such as the region of loading in combination with the dist

Published
2019

48. Linking Joint Impairment and Gait Biomechanics in Patients with Juvenile Idiopathic Arthritis

Author

Arts-assistenten Kinderen, Montefiori, Erica, Modenese, Luca, Di Marco, Roberto, Magni-Manzoni, Silvia, Malattia, Clara, Petrarca, Maurizio, Ronchetti, Anna, de Horatio, Laura Tanturri, van Dijkhuizen, Pieter, Wang, Anqi, Wesarg, Stefan, Viceconti, Marco, Mazza, Claudia, Arts-assistenten Kinderen, Montefiori, Erica, Modenese, Luca, Di Marco, Roberto, Magni-Manzoni, Silvia, Malattia, Clara, Petrarca, Maurizio, Ronchetti, Anna, de Horatio, Laura Tanturri, van Dijkhuizen, Pieter, Wang, Anqi, Wesarg, Stefan, Viceconti, Marco, and Mazza, Claudia

Published
2019

50. Development of subject-specific tibiofemoral and patellofemoral joint kinematic models for children and adolescents with recurrent patellar dislocation

Author

Carty, Christopher, Lloyd, David, Modenese, Luca, da Luz, Simao Brito, Maine, Sheanna, Barzan, Martina, Carty, Christopher, Lloyd, David, Modenese, Luca, da Luz, Simao Brito, Maine, Sheanna, and Barzan, Martina

Abstract

Full Text, Thesis (PhD Doctorate), Doctor of Philosophy (PhD), School Allied Health Sciences, Griffith Health, Patellar dislocation is a complex pathoanatomical condition that affects approximately 1:1000 children and adolescents. Up to 71% of those affected are at risk of recurrent dislocations, that can lead to long-term complications, such as persistent knee pain, decreased activity levels and impairment of knee function. The cause of patellar dislocation is believed to be multifactorial, including lower limb misalignment, abnormal patellofemoral morphology and inadequate soft tissue restraints. While anatomical risk factors and thresholds for typical measures have been well established in adults, there is a paucity of normative and pathoanatomical data that contribute to patellar dislocation in paediatric populations, where the morphology of the patellofemoral joint (PFJ), as well as lower limb alignment, change with growth. Moreover, many surgical techniques common in adults (e.g., trochleoplasty) cannot be performed in a paediatric population due to the risk of growth disruption. Given the challenges in managing recurrent patellar dislocation in paediatric populations, treatment is often unsuccessful and commonly results in poor functional outcomes for the patient while incurring substantial costs. Poor treatment outcomes may be due to limitations in current diagnosis and treatment methods. Nowadays, clinicians use static measures from medical imaging to inform diagnosis and treatment of recurrent patellar dislocation. These measures, despite providing valuable insights on the PFJ anatomy, are unable to provide understanding of the patellar dislocation mechanism during dynamic tasks. Conversely, subject-specific computational models of the musculoskeletal system, with individualised geometries and anatomical structures, have the potential to capture the complex functional relationship between multiple risk factors for patellar dislocation on an individual basis. Creating fully subject-specific models requires accurate personalisation of the joint kinematics, which will

Published
2018

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