Journal of Biomechanics
ISSN: 0021-9290
Datasets associated with articles published in Journal of Biomechanics
Filter Results
8 results
- Data for: Validity and reliability of peak tibial accelerations as real-time measure of impact loading during over-ground rearfoot running at different speedsTime Series. Individual but averaged time series of tibial accelerations across the stance phase of running gait. Metrics. Individual metrics of each participant in each running condition. Pre: first running session, post: second running session, APTA: axial peak tibial acceleration, RPTA: resultant peak tibial acceleration, VLR: vertical loading rate of the ground reaction force. Subject names have been abbreviated to preserve confidentiality.
- Data for: Plantarflexor fiber and tendon slack length are strong determinants of simulated single-leg heel raise heightMATLAB files to run batch process of OpenSim simulations 2018-12-04 - Josh Baxter - University of Pennsylvania - joshrbaxter@gmail.com The series of simulations can be performed using the main MATLAB script (main.m). Inside this script, the user can change the MTU parameter values that are to be tested. This script uses MATLAB’s parallel computing toolbox to increase the total speed of the batch process. Within each loop, a set of MTU parameters are passed to a function (runsimulation.m) that accomplishes two tasks: 1) update MTU tendon slack lengths to replicate the clinically relevant MTU scenarios and 2) run a forward simulation of the single-leg heel raise activity. In an effort to minimize excess data files, OpenSim output data that are desired to be saved are defined by the user in the main script and stored in a single output MAT file that is updated after each simulation.
- Data for: Head Mounted Displays for Capturing Head Kinematics in Postural TasksThis dataset includes head kinematics data for 20 healthy young adults performing postural tasks recorded by the Oculus Rift or HTC Vive and Qualisys Track Manager System. It also includes raw data figures for each individual comparing the systems.
- Data for: Initial contact and toe off event identification for treadmill running at different speedsTab delimited text file of raw data containing time in s of each foot initial contact and toe-off for all 14 subjects for all 6 speeds. There are 10 columns of data: Subject ID, running speed (m/s), self identified foot strike pattern (FSP: rear foot striker (RFS), non rear foot striker nRFS)), contact times for Milner algorithm (s), contact times for Alvim algorithm (s), contact times for modified Alvim algorithm (s), contact times from force plate (ICFP) (s), toe-off times for Fellin algorithm (s), toe0off ties from force plate (TOFP) (s), observed foot strike pattern (from foot kinematics).
- Data for: Representative 3D shape of the distal femur, modes of variation and their relationship to morphological abnormality of the trochlear regionmatlab files
- Data for: Effects of low-pass filter combinations on lower extremity joint moments in distance runningExcel files containing anonymized individual data for 3D peak joint moments and 3D angular impulses of the hip, ankle and knee joints for each cut-off frequency condition.
- Data for: A novel method for prediction of postoperative global sagittal alignment based on full-body musculoskeletal modeling and posture optimizationDetails of the sample analyzed in the study: demographic parameters, treatment information, preoperative and follow-up radiographic measures as well as measures predicted by the simulation.
- Data for: Determining the Impacts of VA-ECMO Parameters on Blood Oxygenation Using a 1D Blood Flow SimulatorSummary data from large-scale sensitivity analyses demonstrating impact of a range of factors on blood oxygenation.