Targeting Transcutaneous Spinal Cord Stimulation Using a Supervised Machine Learning Approach Based on Mechanomyography

Targeting Transcutaneous Spinal Cord Stimulation Using a Supervised Machine Learning Approach Based on Mechanomyography

Transcutaneous spinal cord stimulation (tSCS) provides a promising therapy option for individuals with injured spinal cords and multiple sclerosis patients with spasticity and gait deficits. Before the therapy, the examiner determines a suitable electrode position and stimulation current for a contr...

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Bibliographic Details
Main Authors: Eira Lotta Spieker, Ardit Dvorani, Christina Salchow-Hömmen, Carolin Otto, Klemens Ruprecht, Nikolaus Wenger, Thomas Schauer
Format: Article
Language:English
Published: MDPI AG 2024-01-01
Series:Sensors
Subjects:
transcutaneous spinal cord stimulation (tSCS)
acceleration
mechanomyography (MMG)
supervised classification
multiple sclerosis (MS)
spinal cord injury (SCI)
Online Access:https://www.mdpi.com/1424-8220/24/2/634

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https://www.mdpi.com/1424-8220/24/2/634

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