000171006 001__ 171006
000171006 005__ 20260430151736.0
000171006 0247_ $$2doi$$a10.1098/rsfs.2025.0063
000171006 0248_ $$2sideral$$a149075
000171006 037__ $$aART-2026-149075
000171006 041__ $$aeng
000171006 100__ $$aGrison, Agnese
000171006 245__ $$aIntramuscular microelectrode arrays enable highly accurate neural decoding of finger tasks
000171006 260__ $$c2026
000171006 5060_ $$aAccess copy available to the general public$$fUnrestricted
000171006 5203_ $$aDecoding the activity of the nervous system is a critical challenge in neuroscience and neural interfacing. In this study, we present a neuromuscular recording system that enables large-scale sampling of muscle activity using microelectrode arrays with over 100 channels embedded in forearm muscles. These arrays captured intramuscular high-density signals that were decoded into patterns of activation of spinal motoneurons. In two healthy participants, we recorded high-density intramuscular activity during single- and multi-digit contractions, revealing distinct motoneuron recruitment patterns specific to each task. Based on these patterns, we achieved perfect classification accuracy (100%) for 12 single- and multi-digit tasks and over approximately 96% accuracy for up to 16 tasks, significantly outperforming state-of-the-art electromyogram classification methods. This intramuscular high-density system and classification method represent an advancement in neural interfacing, with the potential to improve human–computer interaction and the control of assistive technologies, particularly for replacing or restoring impaired motor function.
000171006 536__ $$9info:eu-repo/grantAgreement/EC/HORIZON EUROPE/101077693/EU/Extracting the Human Motor Null Space from Muscles - A new framework to measure human neural activity/ECHOES$$9info:eu-repo/grantAgreement/ES/MICINN/CNS2022-135366
000171006 540__ $$9info:eu-repo/semantics/openAccess$$aby$$uhttps://creativecommons.org/licenses/by/4.0/deed.es
000171006 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000171006 700__ $$0(orcid)0000-0001-8439-151X$$aIbáñez, Jaime$$uUniversidad de Zaragoza
000171006 700__ $$aMuceli, Silvia
000171006 700__ $$aKundu, Aritra
000171006 700__ $$aBaracat, Farah Ashraf Moustafa Mahmoud
000171006 700__ $$aIndiveri, Giacomo
000171006 700__ $$aDonati, Elisa
000171006 700__ $$aFarina, Dario
000171006 7102_ $$15008$$2800$$aUniversidad de Zaragoza$$bDpto. Ingeniería Electrón.Com.$$cÁrea Teoría Señal y Comunicac.
000171006 773__ $$g16, 1 (2026), [15 pp.]$$pInterface focus$$tInterface focus$$x2042-8898
000171006 8564_ $$s8341600$$uhttps://zaguan.unizar.es/record/171006/files/texto_completo.pdf$$yVersión publicada
000171006 8564_ $$s2622121$$uhttps://zaguan.unizar.es/record/171006/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000171006 909CO $$ooai:zaguan.unizar.es:171006$$particulos$$pdriver
000171006 951__ $$a2026-04-30-13:58:53
000171006 980__ $$aARTICLE