Fuzzy‐Based Analysis of a Hill‐Type Muscle Model

Fehr, Jörg; Fuhrer, Julian; Kleinbach, Christian; Hanss, Michael; Eberhard, Peter

doi:10.1002/pamm.201610009

Cited by 3 publications

(3 citation statements)

References 5 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…As there is no experimental data available for actual human muscle tissue, the model validation is based on piglet [ 16 ], cat [ 34 ] and rat [ 35 ] muscle experiments. The verification is done in comparison with an already existing implementation of the same muscle model in the Matlab based multi-body code Neweul-M 2 [ 36 ]. Additionally, a comparison with the *MAT_156 muscle material from LS-DYNA is shown for the concentric contraction experiment.…”

Section: Methodsmentioning

confidence: 99%

Implementation and validation of the extended Hill-type muscle model with robust routing capabilities in LS-DYNA for active human body models

et al. 2017

Self Cite

View full text Add to dashboard Cite

BackgroundIn the state of the art finite element AHBMs for car crash analysis in the LS-DYNA software material named *MAT_MUSCLE (*MAT_156) is used for active muscles modeling. It has three elements in parallel configuration, which has several major drawbacks: restraint approximation of the physical reality, complicated parameterization and absence of the integrated activation dynamics. This study presents implementation of the extended four element Hill-type muscle model with serial damping and eccentric force–velocity relation including dependent activation dynamics and internal method for physiological muscle routing.ResultsProposed model was implemented into the general-purpose finite element (FE) simulation software LSDYNA as a user material for truss elements. This material model is verified and validated with three different sets of mammalian experimental data, taken from the literature. It is compared to the *MAT_MUSCLE (*MAT_156) Hill-type muscle model already existing in LS-DYNA, which is currently used in finite element human body models (HBMs). An application example with an arm model extracted from the FE ViVA OpenHBM is given, taking into account physiological muscle paths.ConclusionThe simulation results show better material model accuracy, calculation robustness and improved muscle routing capability compared to *MAT_156. The FORTRAN source code for the user material subroutine dyn21.f and the muscle parameters for all simulations, conducted in the study, are given at https://zenodo.org/record/826209 under an open source license. This enables a quick application of the proposed material model in LS-DYNA, especially in active human body models (AHBMs) for applications in automotive safety.

show abstract

Section: Methodsmentioning

confidence: 99%

Implementation and validation of the extended Hill-type muscle model with robust routing capabilities in LS-DYNA for active human body models

et al. 2017

Self Cite

View full text Add to dashboard Cite

show abstract

“…In information system, understanding system behavior proceeds from bottom-up by aggregating explanations of individual components behaviors [21]. Basic concept is approximation of large scale dynamic systems [22]. It decomposes a given system into a number of subsystems for computational efficiency and design simplification [23].…”

Section: Common Applications Of Reductionmentioning

confidence: 99%

Developing a GIS Audit Framework in the Context of Information Technology through a Reductive Model Approach

Njiru¹,

Siriba²,

Karanja³

2023

JGIS

View full text Add to dashboard Cite

A GIS audit framework is necessary considering the diverse nature of GIS with regard to components, applications and industry. In practice, checklists are generated during the audit process based on specific objectives. There is no standardized list of items that can be used as a reference. The purpose of this study was to develop a GIS audit framework as a foundation for GIS audits. The framework provides that comprehensive approach to various GIS aspects during the audit process. The design builds on a developed conceptual framework where most significant categories of GIS audit parameters namely data quality, software utilization, GIS competency and procedures (work flows) were identified. The study adopted a reductive model approach to simplify the complexity associated with each category of GIS audit parameter. The resultant audit elements for each category are organized in a matrix that forms an integral part of the framework. The columns comprise audit goal, audit questions and audit subjects as indicators which are qualitatively measured.The rows comprise the parameters (data quality, software utilization, personnel competency and procedure (workflows)). To use the framework, an auditor only needs to create an audit checklist that consists of particular parameters and indicators from the framework depending on audit objective. As part of an on-going research, the next step will involve validating the framework through a mock testing process.

show abstract

“…The Hill model is one of the classic muscle models and is widely used in biomechanical research. Based on the Hill model, this study establishes a mathematical model of the muscles [29]. As shown in Figure 5, this model considers muscles as a muscle model composed of a series elastic element (SEE), a passive elastic element (PEE), a contraction element (CE), and a feather-shaped horn (𝜑).…”

Section: Active Torque Prediction Modelmentioning

confidence: 99%

A Real-Time Control Method for Upper Limb Exoskeleton Based on Active Torque Prediction Model

Li,

Zhang,

Meng

et al. 2023

Bioengineering

View full text Add to dashboard Cite

Exoskeleton rehabilitation robots have been widely used in the rehabilitation treatment of stroke patients. Clinical studies confirmed that rehabilitation training with active movement intentions could improve the effectiveness of rehabilitation treatment significantly. This research proposes a real-time control method for an upper limb exoskeleton based on the active torque prediction model. To fulfill the goal of individualized and precise rehabilitation, this method has an adjustable parameter assist ratio that can change the strength of the assist torque under the same conditions. In this study, upper limb muscles’ EMG signals and elbow angle were chosen as the sources of control signals. The active torque prediction model was then trained using a BP neural network after appropriately extracting features. The model exhibited good accuracy on PC and embedded systems, according to the experimental results. In the embedded system, the RMSE of this model was 0.1956 N·m and 94.98%. In addition, the proposed real-time control system also had an extremely low delay of only 40 ms, which would significantly increase the adaptability of human–computer interactions.

show abstract

Fuzzy‐Based Analysis of a Hill‐Type Muscle Model

Cited by 3 publications

References 5 publications

Implementation and validation of the extended Hill-type muscle model with robust routing capabilities in LS-DYNA for active human body models

Implementation and validation of the extended Hill-type muscle model with robust routing capabilities in LS-DYNA for active human body models

Developing a GIS Audit Framework in the Context of Information Technology through a Reductive Model Approach

A Real-Time Control Method for Upper Limb Exoskeleton Based on Active Torque Prediction Model

Contact Info

Product

Resources

About