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Articles 1 - 4 of 4
Full-Text Articles in Biomedical Engineering and Bioengineering
Individual Muscle Contributions To The Axial Knee Joint Contact Force During Normal Walking, Kotaro Sasaki, Richard R. Neptune
Individual Muscle Contributions To The Axial Knee Joint Contact Force During Normal Walking, Kotaro Sasaki, Richard R. Neptune
Mechanical and Biomedical Engineering Faculty Publications and Presentations
Muscles are significant contributors to the high joint forces developed in the knee during human walking. Not only do muscles contribute to the knee joint forces by acting to compress the joint, but they also develop joint forces indirectly through their contributions to the ground reaction forces via dynamic coupling. Thus, muscles can have significant contributions to forces at joints they do not span. However, few studies have investigated how the major lower-limb muscles contribute to the knee joint contact forces during walking. The goal of this study was to use a muscle-actuated forward dynamics simulation of walking to identify …
Application Of A Bayesian Inference Method To Reconstruct Short-Range Atmospheric Dispersion Events, Inanc Senocak
Application Of A Bayesian Inference Method To Reconstruct Short-Range Atmospheric Dispersion Events, Inanc Senocak
Mechanical and Biomedical Engineering Faculty Publications and Presentations
In the event of an accidental or intentional release of chemical or biological (CB) agents into the atmosphere, first responders and decision makers need to rapidly locate and characterize the source of dispersion events using limited information from sensor networks. In this study the stochastic event reconstruction tool (SERT) is applied to a subset of the Fusing Sensor Information from Observing Networks (FUSION) Field Trial 2007 (FFT 07) database. The inference in SERT is based on Bayesian inference with Markov chain Monte Carlo (MCMC) sampling. SERT adopts a probability model that takes into account both positive and zero-reading sensors. In …
Using The Continuous Wavelet Transform To Characterize Differences Between Impact Signals From Non-Cleated And Cleated Turf Shoes, Wayne Robert Fischer
Using The Continuous Wavelet Transform To Characterize Differences Between Impact Signals From Non-Cleated And Cleated Turf Shoes, Wayne Robert Fischer
Boise State University Theses and Dissertations
The continuous wavelet transform was used to characterize the time-frequency differences between impact forces from non-cleated and cleated turf shoes among male football athletes who perform cut and run activities. This research is significant because it elucidates how athletes experience different impact force and torque frequency content based on the type of shoe they are wearing. The complex Morlet mother wavelet was used to analyze all ground reaction force and vertical ground reaction moment signals to create time-frequency power spectrum plots. For each signal, a statistical confidence interval was calculated and displayed along with the cone of influence caused by …
Effect Of Loading Condition On Traction Coefficient Between Shoes And Artificial Turf Surfaces, Seth M. Kuhlman, Michelle B. Sabick, Ronald Pfeiffer, Benjamin Cooper, Jackie Forhan
Effect Of Loading Condition On Traction Coefficient Between Shoes And Artificial Turf Surfaces, Seth M. Kuhlman, Michelle B. Sabick, Ronald Pfeiffer, Benjamin Cooper, Jackie Forhan
Mechanical and Biomedical Engineering Faculty Publications and Presentations
Background. The interaction between a shoe and a turf surface is highly complex and difficult to characterize. Over the three decades since artificial turf was introduced, researchers have attempted to understand the traction caused by the interaction. However, some of the methodologies used for traction measurements have not capitalized on advances in currently available technology for testing and most testing conditions have not simulated realistic physiological loads.
Method of Approach. To assess the effect of test condition on traction results, the newly designed TurfBuster testing device was used to collect traction data on FieldTurf™ brand artificial turf under varying conditions. …