Abstract
Diseases affecting human sensorimotor system are usually characterized by abnormal patterns of muscle activation. Therefore, their monitoring can evaluate and improve motor recovery. In developing new platforms for robot-aided rehabilitation, it is fundamental to understand if the platform itself negatively influence muscular patterns. This paper aims at verifying if a new developed end-effector robotic platform provided with an arm support and based on an assistance-as-needed approach alters patients movements in terms of muscle synergies. Preliminary tests have been carried out on eight healthy subjects performing 16 point-to-point movements. Muscular synergies have been extracted using the non-negative matrix factorization algorithm. Experimental results demonstrated that the proposed platform does not produce significant variations in muscular activation patterns (\(p>0.05\)).
This work was supported partly by the Italian Institute for Labour Accidents (INAIL) with the RehabRobo@work (CUP: C82F17000040001), PCR 1/2 and PPR AS 1/3 (CUP: E57B16000160005) projects and partly by the European Project H2020/AIDE (CUP:J42I15000030006).
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Scotto di Luzio, F., Cordella, F., Lauretti, C., Draicchio, F., Zollo, L. (2019). Assessment of Muscular Activation Patterns in 3D Upper Limb Robot-Aided Rehabilitation. In: Masia, L., Micera, S., Akay, M., Pons, J. (eds) Converging Clinical and Engineering Research on Neurorehabilitation III. ICNR 2018. Biosystems & Biorobotics, vol 21. Springer, Cham. https://doi.org/10.1007/978-3-030-01845-0_70
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DOI: https://doi.org/10.1007/978-3-030-01845-0_70
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