Institute for Modelling and Simulation of Biomechanical Systems

Our vision at the Institute for Modelling and Simulation of Biomechanical Systems (IMSB) is to use computational and experimental methods to enhance our knowledge about biomechanical systems with a particular focus on the Human System. For more information please also visit our institute's website.

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3,461 to 3,470 of 3,647 Results

muscle_basic_properties_f5mm.mat Jul 14, 2023 - Replication Data for: "High-density magnetomyography is superior to high-density surface electromyography for motor unit decomposition: a simulation study" MATLAB Data - 1.2 MB - MD5: 59fcec0ebf340e6ca397ae3ad9e9fad0 Simulated motor unit electric potentials (MUEPs) and motor unit magnetic fields (MUMFs) measured from a virtual high-density EMG or MMG array (70 sampling points). Specifically, this data shocases the influecne of the MU depth. All MU territories are identical, however, shifted in depth.
simulate_motor_unit_response_library.m Jul 14, 2023 - Replication Data for: "High-density magnetomyography is superior to high-density surface electromyography for motor unit decomposition: a simulation study" MATLAB Source Code - 7.7 KB - MD5: 2acbb8a9811ebacc2169b0d653b577c6 Input file to simulate the motor unit response libraries with the multi-domain simulation framework. Executing this script requires to download a freely available software package: https://bitbucket.org/klotz_t/multi_domain_fd_code/
spiketrains_high_mvc.mat Jul 14, 2023 - Replication Data for: "High-density magnetomyography is superior to high-density surface electromyography for motor unit decomposition: a simulation study" MATLAB Data - 174.4 KB - MD5: 840f717e3ae15bd67577eb3124db03f0 Binary spike train that is used as input for generating interference signals (Dim 1: Motor unit index, Dim 2: Time Sample).
spiketrains_low_mvc.mat Jul 14, 2023 - Replication Data for: "High-density magnetomyography is superior to high-density surface electromyography for motor unit decomposition: a simulation study" MATLAB Data - 59.2 KB - MD5: e505c7a453471ecd3bafe1fd38e25293 Binary spike train that is used as input for generating interference signals (Dim 1: Motor unit index, Dim 2: Time Sample).
spiketrains_medium_mvc.mat Jul 14, 2023 - Replication Data for: "High-density magnetomyography is superior to high-density surface electromyography for motor unit decomposition: a simulation study" MATLAB Data - 107.2 KB - MD5: eb865075da56043cae599f0db757d372 Binary spike train that is used as input for generating interference signals (Dim 1: Motor unit index, Dim 2: Time Sample).
qMOTION - Simulation-enhanced Highdensity Magneto-myographic Quantum Sensor Systems for Decoding Neuromuscular Control During Motion(Universität Stuttgart) Jun 29, 2023 This dataverse hosts all data aquired within the resreach project "qMOTION - Simulation-enhanced Highdensity Magneto-myographic Quantum Sensor Systems for Decoding Neuromuscular Control During Motion" funded by the European Reserach Council through ERC-AdG 2021 #101055186. Abstract: Being able to decode neural signals that control skeletal muscles...
P1-TK_A1-GD.csv Sep 28, 2022 - User-material for: "A biophysically guided constitutive law of the musculotendon-complex: modelling and numerical implementation in Abaqus" Comma Separated Values - 385 B - MD5: 8eb29484b74f4cc8b416e6dd985f5f0b Material parameter set
P1_TK-A2-HB.csv Sep 28, 2022 - User-material for: "A biophysically guided constitutive law of the musculotendon-complex: modelling and numerical implementation in Abaqus" Comma Separated Values - 385 B - MD5: 0bd6d84ac6120c5cecede4c438c680ca Material parameter set
P2_MK-A1-GD.csv Sep 28, 2022 - User-material for: "A biophysically guided constitutive law of the musculotendon-complex: modelling and numerical implementation in Abaqus" Comma Separated Values - 385 B - MD5: 0d1e0db0339661887aafcd75c6d8e531 Material parameter set
P3_HB-A2-HB.csv Sep 28, 2022 - User-material for: "A biophysically guided constitutive law of the musculotendon-complex: modelling and numerical implementation in Abaqus" Comma Separated Values - 384 B - MD5: 3a50c5475825fe30146b84d607522962 Material parameter set

muscle_basic_properties_f5mm.mat

Jul 14, 2023 - Replication Data for: "High-density magnetomyography is superior to high-density surface electromyography for motor unit decomposition: a simulation study"

MATLAB Data - 1.2 MB -

Simulated motor unit electric potentials (MUEPs) and motor unit magnetic fields (MUMFs) measured from a virtual high-density EMG or MMG array (70 sampling points). Specifically, this data shocases the influecne of the MU depth. All MU territories are identical, however, shifted in depth.

simulate_motor_unit_response_library.m

Jul 14, 2023 - Replication Data for: "High-density magnetomyography is superior to high-density surface electromyography for motor unit decomposition: a simulation study"

MATLAB Source Code - 7.7 KB -

Input file to simulate the motor unit response libraries with the multi-domain simulation framework. Executing this script requires to download a freely available software package: https://bitbucket.org/klotz_t/multi_domain_fd_code/

spiketrains_high_mvc.mat

Jul 14, 2023 - Replication Data for: "High-density magnetomyography is superior to high-density surface electromyography for motor unit decomposition: a simulation study"

MATLAB Data - 174.4 KB -

Binary spike train that is used as input for generating interference signals (Dim 1: Motor unit index, Dim 2: Time Sample).

spiketrains_low_mvc.mat

Jul 14, 2023 - Replication Data for: "High-density magnetomyography is superior to high-density surface electromyography for motor unit decomposition: a simulation study"

MATLAB Data - 59.2 KB -

Binary spike train that is used as input for generating interference signals (Dim 1: Motor unit index, Dim 2: Time Sample).

spiketrains_medium_mvc.mat

Jul 14, 2023 - Replication Data for: "High-density magnetomyography is superior to high-density surface electromyography for motor unit decomposition: a simulation study"

MATLAB Data - 107.2 KB -

Binary spike train that is used as input for generating interference signals (Dim 1: Motor unit index, Dim 2: Time Sample).

qMOTION - Simulation-enhanced Highdensity Magneto-myographic Quantum Sensor Systems for Decoding Neuromuscular Control During Motion(Universität Stuttgart)

Jun 29, 2023

This dataverse hosts all data aquired within the resreach project "qMOTION - Simulation-enhanced Highdensity Magneto-myographic Quantum Sensor Systems for Decoding Neuromuscular Control During Motion" funded by the European Reserach Council through ERC-AdG 2021 #101055186. Abstract: Being able to decode neural signals that control skeletal muscles...

P1-TK_A1-GD.csv

Sep 28, 2022 - User-material for: "A biophysically guided constitutive law of the musculotendon-complex: modelling and numerical implementation in Abaqus"

Comma Separated Values - 385 B -

Material parameter set

P1_TK-A2-HB.csv

Sep 28, 2022 - User-material for: "A biophysically guided constitutive law of the musculotendon-complex: modelling and numerical implementation in Abaqus"

Comma Separated Values - 385 B -

Material parameter set

P2_MK-A1-GD.csv

Sep 28, 2022 - User-material for: "A biophysically guided constitutive law of the musculotendon-complex: modelling and numerical implementation in Abaqus"

Comma Separated Values - 385 B -

Material parameter set