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dc.contributor.authorBianchi, Anna M.
dc.contributor.authorTacchino, Giulia
dc.contributor.authorGandolla, Marta
dc.contributor.authorCoelli, Stefania
dc.contributor.authorBarbieri, Riccardo
dc.contributor.authorPedrocchi, Alessandra
dc.date.accessioned2022-02-18T09:40:33Z
dc.date.available2022-02-18T09:40:33Z
dc.date.issued2017
dc.identifier.citationTacchino G., Gandolla M., Coelli S., Barbieri R., Pedrocchi A., Bianchi A. M. , "EEG Analysis During Active and Assisted Repetitive Movements: Evidence for Differences in Neural Engagement", IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING, cilt.25, sa.6, ss.761-771, 2017
dc.identifier.issn1534-4320
dc.identifier.otherav_529cca63-45a1-4e87-a49f-30b956cdc630
dc.identifier.othervv_1032021
dc.identifier.urihttp://hdl.handle.net/20.500.12627/177725
dc.identifier.urihttps://doi.org/10.1109/tnsre.2016.2597157
dc.description.abstractTwo key ingredients of a successful neurorehabilitative intervention have been identified as intensive and repetitive training and subject's active participation, which can be coupled in an active robot-assisted training. To exploit these two elements, we recorded electroencephalography, electromyography and kinematics signals from nine healthy subjects performing a 2x2 factorial design protocol, with subject's volitional intention and robotic glove assistance as factors. We quantitatively evaluated primary sensorimotor, premotor and supplementary motor areas activation during movement execution by computing event-related desynchronization (ERD) patterns associated to mu and beta rhythms. ERD patterns showed a similar behavior for all investigated regions: statistically significant ERDs began earlier in conditions requiring subject's volitional contribution; ERDs were prolonged towards the end of movement in conditions in which the robotic assistance was present. Our study suggests that the combination between subject volitional contribution and movement assistance provided by the robotic device (i.e., active robot-assisted modality) is able to provide early brain activation (i.e., earlier ERD) associated with stronger proprioceptive feedback (i.e., longer ERD). This finding might be particularly important for neurological patients, where movement cannot be completed autonomously and passive/active robot-assisted modalities are the only possibilities of execution.
dc.language.isoeng
dc.subjectPhysical Therapy, Sports Therapy and Rehabilitation
dc.subjectHealth Sciences
dc.subjectPhysical Sciences
dc.subjectMÜHENDİSLİK, BİYOMEDİKSEL
dc.subjectMühendislik
dc.subjectMühendislik, Bilişim ve Teknoloji (ENG)
dc.subjectREHABİLİTASYON
dc.subjectKlinik Tıp
dc.subjectKlinik Tıp (MED)
dc.subjectTıp
dc.subjectSağlık Bilimleri
dc.subjectDahili Tıp Bilimleri
dc.subjectFiziksel Tıp ve Rehabilitasyon
dc.subjectBiyomedikal Mühendisliği
dc.subjectMühendislik ve Teknoloji
dc.subjectGeneral Engineering
dc.subjectEngineering (miscellaneous)
dc.subjectBiomedical Engineering
dc.subjectBioengineering
dc.subjectChiropractics
dc.subjectRehabilitation
dc.titleEEG Analysis During Active and Assisted Repetitive Movements: Evidence for Differences in Neural Engagement
dc.typeMakale
dc.relation.journalIEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING
dc.contributor.departmentPolytechnic University of Milan , ,
dc.identifier.volume25
dc.identifier.issue6
dc.identifier.startpage761
dc.identifier.endpage771
dc.contributor.firstauthorID3385485


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