Main Article Content
Copyright (c) 2023 Proceedings on Automation in Medical Engineering
This work is licensed under a Creative Commons Attribution 4.0 International License.
Transcutaneous spinal cord stimulation can reduce spasticity and enhance voluntary movement. However, electrode position and therapy intensity must be determined in a tuning process before the treatment. For that, electromyographic signals of the leg muscles are recorded during isolated double-pulses and categorized as “no response”, “reflex response” and “muscular response”. This procedure involves time-consuming skin preparation and electrode placement. In this contribution, mechanical muscle responses (accelerations) are recorded additionally to the electromyogram in nine healthy subjects to train a machine learning algorithm, which classifies the acceleration signals with an accuracy of 86 %, when considering EMG classification as ground truth.