Simulation of Biomechanical Experiments in OpenSim

Symeonidis, Ioannis; Kavadarli, G.; Schuller, Erich; Peldschus, Steffen

doi:10.1007/978-3-642-13039-7_27

Cited by 12 publications

(8 citation statements)

References 4 publications

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“…The computational models can address the duration of bracing treatment, the health of tissues, and knee kinematics under lowand high-flexion angles and under strenuous activities and become an efficient tool for the analysis of the knee brace design. The commercial software, such as OpenSim [140,141], SimTK [142], and AnyBody [143] also provide a platform to develop, analyze, and visualize models of the musculoskeletal system. These software offer numerous inbuilt experimentations tools, such as inverse kinematics, inverse dynamics, static optimization, forward dynamics, computed muscle control.…”

Section: An Integrated Assessment Methodologymentioning

confidence: 99%

Methods for evaluating effects of unloader knee braces on joint health: a review

et al. 2019

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The paper aims to provide a state-of-the-art review of methods for evaluating the effectiveness and effect of unloader knee braces on the knee joint and discuss their limitations and future directions. Unloader braces are prescribed as a nonpharmacological conservative treatment option for patients with medial knee osteoarthritis to provide relief in terms of pain reduction, returning to regular physical activities, and enhancing the quality of life. Methods used to evaluate and monitor the effectiveness of these devices on patients' health are categorized into three broad categories (perception-, biochemical-, and morphology-based), depending upon the process and tools used. The main focus of these methods is on the short-term clinical outcome (pain or unloading efficiency). There is a significant technical, research, and clinical literature gap in understanding the short-and long-term consequences of these braces on the tissues in the knee joint, including the cartilage and ligaments. Future research directions may complement existing methods with advanced quantitative imaging (morphological, biochemical, and molecular) and numerical simulation are discussed as they offer potential in assessing long-term and post-bracing effects on the knee joint.

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Section: An Integrated Assessment Methodologymentioning

confidence: 99%

Methods for evaluating effects of unloader knee braces on joint health: a review

et al. 2019

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“…Given motion and external force data (e.g., hand and foot forces) during certain tasks, OpenSim estimates joint moments at body joints (e.g., wrists, elbows, shoulders, hips, knees etc.) with a pre-defined musculoskeletal model (Figure 1) that has rigid skeletal bones (Symeonidis et al 2010). To simulate the musculoskeletal model, OpenSim uses marker-based motion capture data in the TRC file format that contains geometric marker positions attached to the subject.…”

Section: Figure 1 a Screenshot Of Opensim Window And A Musculoskeletmentioning

confidence: 99%

Dynamic Biomechanical Analysis for Construction Tasks Using Motion Data from Vision-Based Motion Capture Approaches

Seo

Starbuck

Han

et al. 2014

Computing in Civil and Building Engineering (2014)

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In the labor-intensive construction industry, workers are frequently exposed to manual handling tasks involving forceful exertions and awkward postures. As a result, construction workers are at about a 16 percent higher risk of work-related musculoskeletal disorders (WMSDs) than workers in other industries. A biomechanical model-based musculoskeletal stress analysis is one of the widely used methods to identify the risk of WMSDs during occupational tasks. However, the use of biomechanical analysis has been limited in only laboratory experiments due to the difficulty of collecting motion data required for biomechanical models under real conditions. To reflect postural variations when performing construction tasks, an effective and easily accessible mean that enables us to conduct biomechanical analysis under real conditions is required. To address this issue, we propose a motiondata-driven biomechanical analysis by enabling automatic processes to convert motion data from vision-based motion capture into available data for representing motions in biomechanical analysis tools. We conduct a case study on masonry work to determine the feasibility of the proposed method. The results show that the proposed approach has the potential to assess an individual's motions and to provide personalized feedback for the purpose of reducing biomechanical loads and WMSD risk in real workplaces.

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“…OpenSim, which is a freely available software package, is applied for dynamic biomechanical analysis. Given the motion and external force data, OpenSim performs inverse dynamics analysis with a multibody system that has rigid skeletal bones paired with muscles to calculate joint moments from joint angles and external forces (Symeonidis et al 2010).…”

Section: Dynamic Biomechanical Simulation Using Opensimmentioning

confidence: 99%

Dynamic Biomechanical Simulation for Identifying Risk Factors for Work-Related Musculoskeletal Disorders During Construction Tasks

Seo

Lee²,

Armstrong³

et al. 2013

Proceedings of the 30th International Symposium on Automation and Robotics in Construction and Mining (ISARC 2013): Building Th

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We propose a dynamic biomechanical simulation method that uses motion capture to evaluate the risk of Work-related Musculoskeletal Disorders (WMSDs). Statistics show that WMSDs accounted for 33% of all non-fatal occupational injuries and illness in construction in 2009, and were a leading cause of temporary and permanent disability. Present methods rely largely on self-reports from workers, observational techniques, and direct measurements of motion and muscle activity to assess awkward postures, physical loads, repetitiveness, and the duration of exposure. While these methods have helped to prevent WMSDs in construction work, they may not be suitable for estimating the internal tissue loads associated with WMSDs. We propose a dynamic biomechanical simulation method to estimate internal forces and moments at each body joint of construction workers with motion capture data. Particularly, we explore the biomechanical loads by simulating active 3D musculoskeletal models based on measured postures and movements. To demonstrate the feasibility of this approach, we studied a ladder climbing task using a portable ladder under controlled laboratory conditions. Postures and motions were determined with a commercial motion capture system (e.g., VICON). The results were analyzed to investigate the feasibility of identifying risk factors based on biomechanical simulation. The results show that the proposed approach allows us to determine the biomechanical basis for WMSDs, and to identify postures and movements associated with excessive physical demands on each body joint. When combined with marker-less motion capture which is our ongoing work, the proposed approach has the potential to assess an individual's motions and to provide personalized feedback for the purpose of reducing biomechanical loads and WMSD risk in real workplaces.

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Simulation of Biomechanical Experiments in OpenSim

Cited by 12 publications

References 4 publications

Methods for evaluating effects of unloader knee braces on joint health: a review

Methods for evaluating effects of unloader knee braces on joint health: a review

Dynamic Biomechanical Analysis for Construction Tasks Using Motion Data from Vision-Based Motion Capture Approaches

Dynamic Biomechanical Simulation for Identifying Risk Factors for Work-Related Musculoskeletal Disorders During Construction Tasks

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