Ausilia Mazzarino
Analysis and Decoding of Spinal Signals with Non-Invasive Electrospinography (ESG).
Rel. Danilo Demarchi, Silvestro Micera. Politecnico di Torino, Corso di laurea magistrale in Ingegneria Biomedica, 2026
Abstract
Spinal cord injury (SCI) interrupts the transmission of motor commands and sensory feedback, leading to permanent deficits. While Epidural Electrical Stimulation (EES) shows promise for motor recovery, its efficacy depends on both post-lesion functional reorganization of spinal circuits and the ability to tailor personalized stimulation parameters. Current methods, such as Electromyography (EMG) or spinal functional Magnetic Resonance Imaging (fMRI), provide indirect information or face technical constraints that hinder routine clinical use. Consequently, there is a critical need for high-resolution, non-invasive tools to map spinal activity and personalize neuromodulation. This thesis investigates the potential of electrospinography (ESG), a non-invasive technique for recording spinal electrical activity from the skin surface, to provide functional spinal mapping.
Furthermore, it integrates electroencephalography (EEG) to evaluate the complementarity of spinal and cortical signals in decoding sensorimotor states for neurorehabilitation
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