EMU: Efficient Muscle Simulation in Deformation Space

Modi, Vismay; Fulton, Lawson; Jacobson, Alec; Sueda, Shinjiro; Trusty, Ty

doi:10.1111/cgf.14185

Cited by 10 publications

(4 citation statements)

References 60 publications

(59 reference statements)

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“…One potential technique to mitigate this type of failure is data augmentation. For this purpose, simulations of muscle deformation accompanying with joint motion 32 and simulations of body weight changes 33 would need to be incorporated in data augmentation, which is in our future work. Another future direction would be to predict failures by providing uncertainty metrics with, for example, Bayesian neural networks 6,34,35 , which would be further extendable to a more sophisticated image translation algorithm such as an uncertainty-aware translation.…”

Section: Discussion and Summarymentioning

confidence: 99%

Decomposition of Musculoskeletal Structures from Radiography using an Improved CycleGAN Framework

Nakanishi

Otake

Hiasa

et al. 2022

Preprint

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This paper presents methods of decomposition of radiography into multiple individual muscle and bone structures. While existing solutions require the dual-energy scan for the training dataset and are mainly applied to structures with high-intensity contrast such as bones, we focused on multiple superimposed muscles with subtle contrast, in addition to bones. The decomposition problem is formulated as an image translation problem between 1) a real x-ray image and 2) multiple digitally reconstructed radiographs, each of which contains a single muscle or bone structure, and solved by unpaired training based on the CycleGAN framework. The training dataset was created by automatic computed tomography (CT) segmentation of muscle/bone regions and virtually projecting them with geometric parameters similar to the real x-ray images. Two additional features were incorporated in the CycleGAN framework to achieve a high-resolution and accurate decomposition: hierarchical learning and reconstruction loss with the gradient correlation similarity metric. Further, we introduced a new diagnostic metric for muscle asymmetry directly measured from a plain x-ray image to validate the proposed method. Our simulation and real image experiments using real x-ray and CT images of 475 patients with hip disease suggested that each additional feature significantly enhanced the decomposition accuracy. The experiments also evaluated the accuracy of muscle volume ratio measurement, which suggested a potential application to muscle asymmetry assessment from an x-ray image for diagnostic and therapeutic assistance. The improved CycleGAN framework was able to apply for the decomposition of musculoskeletal structures from single radiography.

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Section: Discussion and Summarymentioning

confidence: 99%

Decomposition of Musculoskeletal Structures from Radiography using an Improved CycleGAN Framework

Nakanishi

Otake

Hiasa

et al. 2022

Preprint

View full text Add to dashboard Cite

show abstract

“…Therefore, the selection of the appropriate element type can greatly affect the accuracy and efficiency of the analysis. It should be noted that in recent years, the four-node tetrahedron type hyperelastic element is commonly used by researchers in biological soft tissue simulations such as muscle [61][62]. This element is shaped like a tetrahedron, which is a geometric shape with four triangular faces and four vertices.…”

Section: Finite Element Model Of the Bb Musclementioning

confidence: 99%

The Rest-Pause Biceps Curl Exercise Effect on Biceps Brachii Muscle of Women: A Study of Mechanical Responsiveness

Asadi Dereshgi

2023

IEEE Access

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The Rest-Pause Biceps Curl (RPBC) exercise generates a physiological response that enhances muscle growth and force in the Biceps Brachii (BB) through increased activation and fatigue. Specifically, the RPBC exercise leads to heightened muscle displacement and stress due to increased activation and fatigue. This stress results in muscle strain, and contracting of the muscle fibers, which causes microtrauma. The repair and adaptation process in response to this microtrauma can result in increased muscle size and force. This scrutiny purposed to explore the influence of isometric, concentric and eccentric contractions on the mechanical behavior of the BB muscle in the RPBC exercise at 2 kg, 3 kg and 5 kg dumbbell weights. In this study, ten healthy women aged 20 to 30 years, with a training background and no history of cardiovascular, neurological, or upper extremity disorders, were studied as subjects. This research was innovative in that it evaluated the collective effect of contractions on mechanical changes in BB muscle behavior during the exercise, without having physical contact with the muscle. In conclusion, the maximum displacement (37.56 μm), stress (355.89 Pa), and strain (3.06×10 -4 %) was achieved in the BB muscles as the subjects lifted 5 kg dumbbells. In addition, a linear correlation between muscle force and mechanical behavior in the muscle was observed for three different weights of the dumbbell. The results of this study evaluates muscle fatigue and recovery during exercise, providing insights into injury risk and prevention, and improves exercise technique and form. INDEX TERMSBiceps Brachii muscle force, elbow joint, joint moment, musculoskeletal model, Rest-Pause Biceps Curl exercise HAMID ASADI DERESHGI has been awarded his Ph.D. from Department of Mechatronics Engineering, Sakarya University. He has been a faculty member of the Department of Biomedical Engineering at Istanbul Arel University since 2019, where he is also the director of the Artificial Intelligence Studies, Application and Research Center (ArelMED-I). His research interests include haptics, robotics, mechatronics, biomechanics, implantable medical devices, MEMS scale energy harvesting for self-sustained electronic systems, integrated microfluidics and personalized medicine.

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“…Therefore, it is important to choose the appropriate element type as it can significantly affect the accuracy and efficiency of the analysis. It is worth mentioning that the four-node tetrahedron type hyperelastic element is widely utilized by researchers in simulations of biological soft tissues, such as muscles [51][52][53]. The geometric shape of the element is a tetrahedron, which consists of four vertices and four triangular faces.…”

Section: Finite Element Modellingmentioning

confidence: 99%

Investigating the biomechanics of the biceps brachii muscle during dumbbell curl exercise: A comprehensive approach

ASADİ DERESHGİ

2023

European Mechanical Science

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Investigation of the mechanical behavior of the biceps brachii (BB) muscle at different dynamic forces is essential to improve training techniques, prevent sports injuries and optimize rehabilitation results. In previous studies, researchers studied mechanical changes during muscle contraction using various mathematical methods and simulation models. The models adopted by the majority of these studies assumed a constant value for muscle force. However, variable muscle force has different effects on muscle mechanics. In this study, an inverse dynamic simulation model was initially utilized to determine the dynamic muscle forces generated in the BB while performing the dumbbell curl exercise with 5 kg and 10 kg weights. Subsequently, the finite element method (FEM) was used to calculate the stress and strain changes experienced by BB as a consequence of the applied forces. Moreover, simultaneous analysis through electromyography (EMG) was carried out to investigate muscle contraction during the dumbbell curl exercise. Consequently, it was concluded that the average BB force during the dumbbell curl exercise with 5 kg and 10 kg weights was 433.9 N and 695.0 N, respectively. The maximum stresses in the BB during exercise were calculated to be 960.5 Pa and 1484.9 Pa, respectively. Additionally, the maximum displacements were determined to be 102.30 μm and 158.28 μm, respectively. According to the findings of muscle force 100% increase in dumbbell weight increases the maximum muscle force by 83.13% and the average muscle force by 60.17%. Therefore, it is understood that there was no linear correlation between weight gain and muscle force.

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EMU: Efficient Muscle Simulation in Deformation Space

Cited by 10 publications

References 60 publications

Decomposition of Musculoskeletal Structures from Radiography using an Improved CycleGAN Framework

Decomposition of Musculoskeletal Structures from Radiography using an Improved CycleGAN Framework

The Rest-Pause Biceps Curl Exercise Effect on Biceps Brachii Muscle of Women: A Study of Mechanical Responsiveness

Investigating the biomechanics of the biceps brachii muscle during dumbbell curl exercise: A comprehensive approach

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