title: Computational aspects of MN activity estimation: a case study with post-stroke subjects.
abstract: Spinal circuits play an important role in the generation of rhythmic motor activity, intermediating between descending signals and peripheral sensory information. The study of these circuits can provide a better understanding of the control mechanisms during the execution of cyclic motor tasks in healthy subjects or in patients with motor deficits due to a neurological disease. This work shows preliminary results regarding the estimation of spinal cord activity of post-stroke subjects obtained from the EMG signals by improving the computational model. This new model allows a better quantitative evaluation of motor performance in clinical contexts.
authors.affiliation: The BioRobotics Institute, Scuola Superiore Sant’Anna, Pisa, Italy. m.coscia@sssup.it
authors.forename: Martina
authors.initials: M
authors.lastname: Coscia
authors.forename: Vito
authors.initials: V
authors.lastname: Monaco
authors.forename: Marco
authors.initials: M
authors.lastname: Capogrosso
authors.forename: Carmelo
authors.initials: C
authors.lastname: Chisari
authors.forename: Silvestro
authors.initials: S
authors.lastname: Micera
mesh_terms: D000368:Aged; D004576:Electromyography; D005260:Female; D006801:Humans; D008297:Male; D008875:Middle Aged; D009043:Motor Activity / Q000502:physiology*; D013116:Spinal Cord / Q000502:physiology* / Q000503:physiopathology; D020521:Stroke