Neuromuscular simulator in Python
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Updated
Jul 21, 2018 - Jupyter Notebook
Neuromuscular simulator in Python
Musclesense comprises a set deep learning AI networks for neuromuscular diseases research that perform the anatomical segmentation of muscles in 3-point Dixon, T1w, and T2-stir, lower-limb MRI volumes
This repository contrains scripts and files related to ML training for the QUMIA project
This is the repository for the code used researching the relationship between responses of heart rate variability and neuromuscular performance following resistance exercise.
Gait analysis and simulation of gait patterns in the healthy elderly, and elderly suffering from neuromuscular diseases
This work is dedicated neuromuscular interface, which is based on electrical impedance and surface electromyogram registered together. Active part of impedance is registered non-invasively using tetrapolar electrode system from a segment of the upper limb. Impedance signals are proportional to the movement’s extent. In contrast to other techniqu…
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