40 Works

Gil Serrancolí, Antoine Falisse, Friedl De Groote, Christopher Dembia, Jonas Vantilt, Kevin Tanghe, Dirk Lefeber, Ilse Jonkers & Joris De Schutter
This project deals with the calibration of foot-ground and subject-exoskeleton models to then predict new subject-exoskeleton collaborative movements and their forces. We developed a calibration process to estimate the parameter values of foot-ground contact and subject-exoskeleton contact models, so that these models can reproduce experimental data of sit-to-stand trials with the exoskeleton in passive mode. Then, we can predict new sit-to-stand movements of the subject wearing an exoskeleton in active mode. This project provides the...

Human Knee Cartilage Histopathology Assessment

Venkata P Mantripragada, Ronald Midura, Ahmet Erdemir & George Muschler
90 patients with varus knees scheduled for total knee arthroplasty were recruited after getting their informed consent. Inclusion criteria required patients with a diagnosis of idiopathic OA (primarily medial compartment and/or patellofemoral disease) exhibiting a relatively preserved lateral compartment (JSW: 2–10 mm, median: 6 mm in the lateral compartment) based on preoperative weight-bearing anterior-posterior (AP) radio- graphs taken in full extension and 30° of flexion. During TKA, the Lateral Femoral Condyle (LFC) was collected and...

Reference Data on Thickness and Mechanics of Tissue Layers in Musculoskeletal Extremities and Limb Anthropometry

Ahmet Erdemir & Erica Neumann
This site contains data to understand the mechanics of multi-layer tissue structures of the limbs, particularly of the lower and upper legs and arms. Anatomical and mechanical data were collected on extremities of 100 adult subjects (50 male, 50 female) from the general population. An ultrasound system was instrumented with a load transducer for in vivo characterization of skin, fat, and muscle thicknesses in the extremities at unloaded and loaded (indentation) states. The unloaded state...

Synchronized EMG and motion capture data set for five normally developed subjects performing abduction with right upper extremity

Robert Quinton, Elizabeth Rapp van Roden, James Richards, Kristen Nicholson & Tyler Richardson
This study is the first of its kind to utilize synchronized EMG and motion capture data to evaluate the timing and amplitude of all twenty muscle segments influencing scapulothoracic (ST) and glenohumeral (GH) motion in a group of five typically developed individuals performing five everyday shoulder motions. Certain muscles were divided into segments due to their varying lines of action (i.e. deltoid) or varying innervations (i.e. trapezius). The data set was evaluated for conserved muscle...

Understanding Walking in Parkinson's Disease with Wearable Sensors: IMU walking data

Johanna O'Day, Judy Syrkin-Nikolau, Chioma Anidi, Lukasz Kidzinski, Scott Delp & Helen Bronte-Stewart
The goal of this project is to better understand walking and impaired walking (slow, shuffling or freezing of gait), in Parkinson's disease (PD) as it compares to that of age-matched healthy controls. We use data from wearable inertial measurement unit sensors (IMUs, made by APDM Inc.) to calculate gait parameters that characterize the dynamics of people walking in both a turning and barrier course designed to elicit freezing of gait (Syrkin-Nikolau et al., Neurobiology of...

In Vitro Reference Models for Multi-Layer Tissue Structures (MULTIS)

Tyler Schimmoeller & Ahmet Erdemir
This dataset can be used to understand the mechanics of multi-layer tissue structures of the limbs, particularly of the lower and upper legs and arms. It includes anatomical and mechanical data collected on extremities of 9 adult subjects (5 male, 4 female) from the general population. The dataset consists of computed tomography (CT) imaging, magnetic resonance (MR) imaging, and ultrasound scanning performed with a load transducer for in vitro characterization of skin, fat, and muscle...

OpenSenseRT Raspberry Pi Image

Patrick Slade, Ayman Habib, Jennifer Hicks & Scott Delp
The Raspberry Pi image replicates the OpenSenseRT, a real-time and wearable system for motion capture.

Kearney 2021 Lateral Pinch Data

Kalyn Kearney, Jennifer Nichols & Joel Harley
Datasets representing variations in lateral pinch thumb-tip force due to changes in maximum isometric force, as simulated with OpenSim v4.0. Each dataset includes outputs from forward dynamics, with thumb-tip force provided via joint reactions analyses. We also include muscle activations from computed muscle control which were used to drive these forward dynamic simulations. See the included ReadMe file and the following publication for more details: Kearney KM, Harley JB, Nichols JA. “Classifying muscle parameters with...

OpenSense: Validation of IMU-based estimates of kinematics over long durations

Johanna O'Day, Scott Delp, Mazen Al Borno, Vanessa Ibarra, James Dunne, Ajay Seth, Ayman Habib, Carmichael Ong, Jennifer Hicks & Scott Uhlrich
Here we provide the dataset for validation of OpenSense, an open-source toolbox for Inertial-Measurement-Unit-based measurement of lower extremity kinematics over long durations (10 minutes). We computed IMU-based estimates of kinematics using sensor fusion and an inverse kinematics approach with a constrained biomechanical model. We measured kinematics for 11 subjects as they performed two 10-minute trials: (1) walking and turning, and (2) a repeated sequence of varied lower-extremity movements (sitting, standing, stair-climbing, side-stepping, walking, running). Subjects...

Models and Simulations for calibrated lumped models for the paper title \"Template Models for Simulation of Surface Manipulation of Musculoskeletal Extremities\"

Sean Doherty, Ahmet Erdemir, Tammy Owings & Ben Landis
Capturing the surface mechanics of musculoskeletal extremities would enhance the realism of life-like mechanics imposed on the limbs within surgical simulations haptics. Other fields that rely on surface manipulation, such as garment or prosthetic design, would also benefit from characterization of tissue surface mechanics. Eight homogeneous tissue models were developed for the upper and lower legs and arms of two donors. Ultrasound indentation data was used to drive an inverse finite element analysis for individualized...

PRC Models Based on Limited Data

Jennifer Nichols, Wendy Murray & Michael Bednar
Kinematic models of proximal row carpectomy (PRC) developed in SIMM v. 6.0.2. These models are based on several assumptions and limited experimental data.

Simulations of Ideal Assistive Devices for Three Subjects

Christopher Dembia
OpenSim simulations of male subjects walking while carrying heavy load and wearing hypothetical ideal assistive devices. The simulations examined 7 massless devices that each provided unrestricted torque at one degree of freedom and in one direction: hip abduction, hip flexion, hip extension, knee flexion, knee extension, ankle plantarflexion, and ankle dorsiflexion. The simulations were used to estimate the optimal device torques, and the devices' effect on metabolic cost and muscle activity.

ReadySim v1.0: A Computational Framework for Building Explicit Finite Element Musculoskeletal Simulations Directly from Motion Laboratory Data

Donald Hume & Kevin Shelburne
ReadySim aims to provide a means for researchers to perform musculoskeletal simulations directly in a finite element framework. Both the framework and the models are made open source to improve the dissemination of knowledge and drive continuous improvements to model design and modeling techniques. The software uses MATLAB and Python to interface with ABAQUS/Explicit input and output files and includes modules for model segment scaling, kinematics estimation, and muscle force optimization. The JobQueue API allows...

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

Ahmet Erdemir & Snehal Chokhandre

Segmentation and genus classification of lactic acid bacteria from images

Sebastian Bech-Terkilsen
This comprises the full dataset used in the project "Segmentation and genus classification of lactic acid bacteria from images". It includes a training set, validation set and several test sets. Lastly it includes backgrounds which are needed for the custom image augmentation method described in the manuscript. The training and validation set are comprised of 1360 grayscale phase-contrast images containing >760,000 lactic acid bacteria which have been hand-labelled for segmentation (pixel classification) and classification of...

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