Visual programming for accessible interactive musculoskeletal models

Objective Musculoskeletal modeling and simulation are powerful research and education tools in engineering, neuroscience, and rehabilitation. Interactive musculoskeletal models (IMMs) can be controlled by muscle activity recorded with electromyography (EMG). IMMs are typically coded using textual pr...

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Veröffentlicht in:BMC research notes Jg. 15; H. 1; S. 108 - 7
Hauptverfasser: Manczurowsky, Julia, Badadhe, Mansi, Hasson, Christopher J.
Format: Journal Article
Sprache:Englisch
Veröffentlicht: London BioMed Central 22.03.2022
BioMed Central Ltd
Springer Nature B.V
BMC
Schlagworte:
Biomedical and Life Sciences
Biomedicine
Computer Simulation
Digitization
Education
Educational aspects
Electrodes
Electromyography
Engineering
Generators
Geometry
Humans
Keyboards
Life Sciences
Male
Medicine/Public Health
Models, Anatomic
Muscle, Skeletal - physiology
Muscles
Musculoskeletal modeling
Myoelectric
Nervous system
Neuroscience
Programming languages
Rehabilitation
Research Note
Sensors
Software
Torque
Visual programming (Computer science)
Visual programming languages (Computer science)
United States
Engineering
Visual programming
Neuroscience
Myoelectric
Musculoskeletal modeling
Electromyography
Rehabilitation
Simulink
ISSN:1756-0500, 1756-0500
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Zusammenfassung:Objective Musculoskeletal modeling and simulation are powerful research and education tools in engineering, neuroscience, and rehabilitation. Interactive musculoskeletal models (IMMs) can be controlled by muscle activity recorded with electromyography (EMG). IMMs are typically coded using textual programming languages that present barriers to understanding for non-experts. The goal of this project was to use a visual programming language (Simulink) to create and test an IMM that is accessible to non-specialists for research and educational purposes. Results The developed IMM allows users to practice a goal-directed task with different control modes (keyboard, mouse, and EMG) and actuator types (muscle model, force generator, and torque generator). Example data were collected using both keyboard and EMG control. One male participant in his early 40’s performed a goal-directed task for four sequential trials using each control mode. For EMG control, the participant used a low-cost EMG system with consumer-grade EMG sensors and an Arduino microprocessor. The participant successfully performed the task with both control modes, but the inability to grade muscle model excitation and co-activate antagonist muscles limited performance with keyboard control. The IMM developed for this project serves as a foundation that can be further tailored to specific research and education needs.
Bibliographie:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
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ISSN:1756-0500
1756-0500
DOI:10.1186/s13104-022-05994-5