OpenArm: Volumetric & Time Series Models of Muscle Deformation

The OpenArm data sets are designed to enable study
of force- and kinematic-induced muscle deformation
for applications in biomechanics research,
computer graphics, and assistive device
development. **NEW:** The OpenArm Multisensor
2.0 data set contains new time series of
ultrasound-measured brachioradialis deformation,
surface electromyography (sEMG)-measured
activation, force, and goal trajectory data, for
various force-, deformation-, and activation-based
trajectory tracking tasks, under refined
conditions from those of the 1.0 data set. Also
included are all analysis, real-time muscle
deformation tracking, and display code. The
OpenArm Multisensor 1.0 data set contains time
series cross-sectional ultrasound scans of the
brachioradialis muscle under variable elbow
loading, alongside corresponding surface
electromyography (sEMG), acoustic myography (AMG),
and force data. The OpenArm 1.0 and 2.0 data
sets encompass factorial sets of volumetric scans
of the arm, generated using ultrasound and motion
capture, that allow for analysis of both force-
and configuration-associated muscle deformation.
Downloads last week: 116
Total downloads: 12,545

Practical Annotation and Exchange of Virtual Anatomy

This site serves for dissemination of aeva and its
use cases. aeva is a free and open source software
for annotation and exchange of virtual anatomy.
The use cases drive design and testing of aeva
features and demonstrate various workflows that
rely on virtual anatomy.
Downloads last week: 77

OpenSim

Provide easy-to-use, extensible software for
modeling, simulating, controlling, and analyzing
the neuromusculoskeletal system.
Downloads last week: 2,396
Forum posts last week: 38
Total followers: 310
Total downloads: 743,385

Calibrated EMG-Informed Neuromusculoskeletal Modelling Toolbox (CEINMS)

Provides an easy to use toolbox, compatible with
OpenSim, for the estimation of the human lower
extremity muscle and joint dynamics.
Total followers: 41

Matlab-Opensim Interfaces

Provides tools for using different aspects of
Opensim within the Matlab environment, including
command line pipelines as well as accessing the
Opensim API directly. The main functionality
has now been included as part of Opensim 3.0 with
improved functionality (and will become more
obsolete with Opensim 4.0). Please see the
developer wiki for more information. Therefore
this is being kept only as an archive, and users
should see the documentation on interfacing Matlab
with Opensim on the Opensim website
(http://simtk-confluence.stanford.edu:8080/display
/OpenSim/Scripting+with+Matlab). As such the
forums etc will not be monitored.
Total followers: 26
Total downloads: 9,049

Motion Capture Basketball and Volleyball

Motion capture of basketball layup and of
volleyball dive.
Forum posts last week: 1

Open Knee(s): Virtual Biomechanical Representations of the Knee Joint

Open Knee(s) goals have been to provide free
access to three-dimensional finite element
representations of the knee joint and promote open
development of knee models for collaborative
testing and use. <B>Definitive Guide to
Project and Its Outcomes</B> Open Knee(s): A
Free and Open Source Library of Specimen-Specific
Models and Related Digital Assets for Finite
Element Analysis of the Knee Joint. Chokhandre S,
Schwartz A, Klonowski E, Landis B, Erdemir A. Ann
Biomed Eng. 2023 Jan;51(1):10-23. (<A
HREF="https://doi.org/10.1007/s10439-022-0307
4-0">https://doi.org/10.1007/s10439-022-03
074-0</A>) <B>Definitive Guide to
Open Knee(s) Data</B> Specimen specific
imaging and joint mechanical testing data for next
generation virtual knees. Chokhandre S, Neumann
EE, Nagle TF, Colbrunn RW, Flask CA, Colak C,
Halloran J, Erdemir A. Data Brief. 2021 Jan
30;35:106824. (<A
HREF="https://doi.org/10.1016/j.dib.2021.1068
24">https://doi.org/10.1016/j.dib.2021.106
824</A>) <B>Database of Open
Knee(s) Models</B> Under Downloads ->
Data Share -> View -> OKS_models and at
(<A
HREF="https://doi.org/10.18735/b0zv-n395"
;>https://doi.org/10.18735/b0zv-n395</A>)
<B>Database of Open Knee(s)
Data</B> Growing version under Downloads
-> Data Share -> View -> Open Knees Data;
permanent static version at (<A
HREF="https://doi.org/10.18735/4e78-1311"
;>https://doi.org/10.18735/4e78-1311</A>)
Downloads last week: 745
Total followers: 45
Total downloads: 133,000

Whole-Cell Computational Model of Mycoplasma genitalium

This project provides all code and data for the
first "whole-cell" model of the entire life cycle
of a living organism, Mycoplasma
genitalium.
Downloads last week: 404
Total downloads: 176,395

OpenMM

OpenMM includes everything one needs to run modern
molecular simulations. It is extremely flexible
with its custom functions, is open-source, and has
high performance, especially on recent GPUs.
Downloads last week: 1,712
Forum posts last week: 3
Total followers: 66
Total downloads: 724,225

Predictive framework for functional electrical stimulation (FES) cycling

Our innovative approach introduces a novel
framework and showcases its application in solving
predictive models.
Forum posts last week: 1
New members: 2

Biomechanics Project Spring 2024-Group 14

Hypothesis: " How different squad depths can
affect compression force in the knee joint."
Forum posts last week: 1

Upper limb model

I have to create an upper limb model to study the
dynamics and kinematics correlated to muscle
activation for my master's thesis
Forum posts last week: 1

Upper Extremity Dynamic Model

Provides the files associated with a dynamic model
of the upper limb for use in SIMM or OpenSim.
Total followers: 42
Total downloads: 9,282

OpenSim Bicycle Model

The goal of this project is to build a 6-DoF model
of a bicycle with accurate handling dynamics that
can be used for forward analyses of standing
cycling in OpenSim. The model will include a DoF
at each wheel, the cranks, and the steering tube
with contac
New followers: 1

Seven things to know about exercise monitoring with inertial sensing wearables

We present open-source deep learning based
classifiers for predicting physical therapy
exercises using inertial measurement units, and a
comprehensive analysis of impacts of sensor
density, location, type, state estimation, and
sample size on the performance.
Forum posts last week: 1