Moon Ki, JungMuceli, SilviaRodrigues, CamilaMegía-García, ÁlvaroPascual-Vandunciel, Álvarodel-Ama, Antonio J.Gil-Agudo, ÁngelMoreno, Juan C.Oliveira-Barroso, FilipePons, José L.2024-01-042024-01-042021-06-07Jung MK, Muceli S, Rodrigues C, Megia-Garcia A, Pascual-Valdunciel A, Del-Ama AJ, Gil-Agudo A, Moreno JC, Barroso FO, Pons JL, Farina D. Intramuscular EMG-Driven Musculoskeletal Modelling: Towards Implanted Muscle Interfacing in Spinal Cord Injury Patients. IEEE Trans Biomed Eng. 2022 Jan;69(1):63-74.0018-9294https://hdl.handle.net/10115/28157Trabajo realizado en el seno del proeycto EU-H2020 Research and Innovation program Project EXTEND—Bidirectional Hyper-Connected Neural System. Ref.: 779982, colaboración entre instituciones de España, Suecia, Reino Unido, USA. CONTRIBUCIÓN (según taxonomía CReDIT): Conceptualization, Data curation, Funding acquisition, Methodology, Project Administration, Resources, Supervision, Writing: review & editing. -------------------------------------- Indicios de calidad: A nivel del medio de difusión: Revista con revisión por pares doble ciego indexada en JCR, en el primer cuartil (Q1) y primer tercil (T1) en las categorías de Ingeniería Biomédica (JCR y Scopus), con factor de impacto 4.600 en el año de publicación del artículo (2020) - A nivel de aportación: El artículo está situado en el 87 percentil de citas de artículos de su categoría (10 citas, Scopus, 18 GooglScholar. Este buen impacto también se ve reflejado en los ídices de citación normalizadas: 2.29 (FWCI, Scoups) y 4.38 (FCR, Dimensions).Objective: Surface EMG-driven modelling has been proposed as a means to control assistive devices by estimating joint torques. Implanted EMG sensors have several advantages over wearable sensors but provide a more localized information on muscle activity, which may impact torque estimates. Here, we tested and compared the use of surface and intramuscular EMG measurements for the estimation of required assistive joint torques using EMG driven modelling. Methods: Four healthy subjects and three incomplete spinal cord injury (SCI) patients performed walk ing trials at varying speeds. Motion capture marker trajectories, surface and intramuscular EMG, and ground reaction forces were measured concurrently. Subject-specific musculoskeletal models were developed for all subjects, and inverse dynamics analysis was performed for all individual trials. EMG-driven modelling based joint torque estimates were obtained from surface and intramuscular EMG. Results: The correlation between the experimental and predicted joint torques was similar when using intramuscular or surface EMG as input to the EMG-driven modelling estimator in both healthy individuals and patients. Conclusion: We have provided the first comparison of non-invasive and implanted EMG sensors as input signals for torque estimates in healthy individuals and SCI patients. Significance: Implanted EMG sensors have the potential to be used as a reliable input for assistive exoskeleton joint torque actuationengAtribución 4.0 Internacionalhttp://creativecommons.org/licenses/by/4.0/EMG driven modellingmusculoskeletal modelelectromyographyassistive technologyhuman-machine interfacespinal cord injuryinfo:eu-repo/semantics/article10.1109/TBME.2021.3087137info:eu-repo/semantics/openAccess