A three-dimensional finite-element model of gluteus medius muscle incorporating inverse-dynamics-based optimization for simulation of non-uniform muscle contraction

Li, Junyan; Marra, Marco A.; Lü, Yongtao

doi:10.1016/j.medengphy.2020.11.009

Cited by 9 publications

(2 citation statements)

References 42 publications

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“…When calculating the motion data, the two-dimensional information often cannot 5meet the requirements. Li et al [14] considered restoring the two-dimensional information into three-dimensional information. For ordinary optical cameras, multiple cameras were required to shoot athletes from different angles to reconstruct the three-dimensional motion model of the human body.…”

Section: Related Workmentioning

confidence: 99%

“…A sports model system based on three-dimensional images usually includes three parts, namely, a transmitting source, a receiving sensor, and a data processing unit. The emission source is used to generate an electromagnetic field, and the distribution of the electromagnetic field is regular; the key parts of the athlete's body need to be equipped with receiving sensors (usually [10][11][12][13][14][15][16][17][18][19][20], and the connection between the sensors and the data processing unit is achieved through cables. In order to reduce interference and jitter, the sampling rate of this type of system is generally lower than 15 Hz, and for some high-speed sports such as football and basketball, such a sampling rate is far from meeting the requirements.…”

Section: Wireless Communications and Mobile Computingmentioning

confidence: 99%

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Research and Implementation of the Sports Analysis System Based on 3D Image Technology

Wang

Gao

Liu

2021

Wireless Communications and Mobile Computing

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On the basis of existing research, this paper analyzes the algorithms and technologies of 3D image-based sports models in depth and proposes a fusion depth map in view of some of the shortcomings of the current hot spot sports model methods based on 3D images. We use the 3D space to collect the depth image, remove the background from the depth map, recover the 3D motion model from it, and then build the 3D model database. In this paper, based on the characteristics of continuity in space and smoothness in time of a rigid body moving target, a reasonable rigid body target motion hypothesis is proposed, and a three-dimensional motion model of a rigid body target based on the center of rotation of the moving target and corresponding motion is designed to solve the equation with parameters. In the case of unknown motion law, shape, structure, and size of the moving target, this algorithm can achieve accurate measurement of the three-dimensional rigid body motion target’s self-rotation center and related motion parameters. In the process of motion parameter calculation, the least square algorithm is used to process the feature point data, thereby reducing the influence of noise interference on the motion detection result and correctly completing the motion detection task. The paper gives the measurement uncertainty of the stereo vision motion measurement system through simulated and real experiments. We extract the human body motion trajectory according to the depth map and establish a motion trajectory database. For using the recognition algorithm of the sports model based on the 3D image, we input a set of depth map action sequences. After the above process, the 3D motion model is obtained and matched with the model in the 3D motion model database, and the sequence with the smallest distance is calculated. The corresponding motion trajectory is taken as the result of motion capture, and the efficiency of this system is verified through experiments.

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Section: Related Workmentioning

confidence: 99%

Section: Wireless Communications and Mobile Computingmentioning

confidence: 99%

Research and Implementation of the Sports Analysis System Based on 3D Image Technology

Wang

Gao

Liu

2021

Wireless Communications and Mobile Computing

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Determining a musculoskeletal system’s pre-stretched state using continuum–mechanical forward modelling and joint range optimization

Avci,

Röhrle

2024

Biomech Model Mechanobiol

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The subject-specific range of motion (RoM) of a musculoskeletal joint system is balanced by pre-tension levels of individual muscles, which affects their contraction capability. Such an inherent pre-tension or pre-stretch of muscles is not measureable with in vivo experiments. Using a 3D continuum mechanical forward simulation approach for motion analysis of the musculoskeletal system of the forearm with 3 flexor and 2 extensor muscles, we developed an optimization process to determine the muscle fibre pre-stretches for an initial arm position, which is given human dataset. We used RoM values of a healthy person to balance the motion in extension and flexion. The performed sensitivity study shows that the fibre pre-stretches of the m. brachialis, m. biceps brachii and m. triceps brachii with $$91\%$$ 91 % dominate the objective flexion ratio, while m. brachiradialis and m. anconeus amount $$7.8\%$$ 7.8 % and $$1.2\%$$ 1.2 % . Within the multi-dimensional space of the surrogate model, 3D sub-spaces of primary variables, namely the dominant muscles and the global objective, flexion ratio, exhibit a path of optimal solutions. Within this optimal path, the muscle fibre pre-stretch of two flexors demonstrate a negative correlation, while, in contrast, the primary extensor, m. triceps brachii correlates positively to each of the flexors. Comparing the global optimum with four other designs along the optimal path, we saw large deviations, e.g., up to 15$$^{\circ }$$ ∘ in motion and up to 40% in muscle force. This underlines the importance of accurate determination of fibre pre-stretch in muscles, especially, their role in pathological muscular disorders and surgical applications such as free muscle or tendon transfer.

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The Amputated Limb Gluteus Medius is Biomechanically Disadvantaged in Patients with Unilateral Transfemoral Amputation

Roda,

Awad,

Melton

et al. 2023

Ann Biomed Eng

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A three-dimensional finite-element model of gluteus medius muscle incorporating inverse-dynamics-based optimization for simulation of non-uniform muscle contraction

Cited by 9 publications

References 42 publications

Research and Implementation of the Sports Analysis System Based on 3D Image Technology

Research and Implementation of the Sports Analysis System Based on 3D Image Technology

Determining a musculoskeletal system’s pre-stretched state using continuum–mechanical forward modelling and joint range optimization

The Amputated Limb Gluteus Medius is Biomechanically Disadvantaged in Patients with Unilateral Transfemoral Amputation

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