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dc.contributor.author최영진-
dc.date.accessioned2023-05-19T04:55:54Z-
dc.date.available2023-05-19T04:55:54Z-
dc.date.issued2010-10-
dc.identifier.citationINTERNATIONAL CONFERENCE ON CONTROL, AUTOMATION AND SYSTEMS (ICCAS 2010), article no. 5669735, Page. 1164-1166-
dc.identifier.urihttps://ieeexplore.ieee.org/document/5669735en_US
dc.identifier.urihttps://repository.hanyang.ac.kr/handle/20.500.11754/180903-
dc.description.abstractThis paper deals with an acquisition and recognition of Electromyography (EMG) signals, their processing to get the neural activation, their transformation to muscle activation and the relationship of neural activation to muscle activation. This issue is related to the stability of an EMG-based orthotic control. The EMG signals are recorded with surface electrodes attached to the skin on top of the selected muscles and they reflect the activation of the muscles. The acquired EMG patterns are processed in a manner to remove the non-target patterns. The parameters for processing of EMG signals are suggested to make the signal suitable for calculating muscle activation and muscle force.-
dc.description.sponsorshipThis work was supported in part by the Ministry of Knowledge Economy (MKE) under the Human Resources Development Program for Convergence Robot Specialists, Republic of Korea. Also, this work is supported in part by the Higher Educational Commission of Pakistan.-
dc.languageen-
dc.publisherIEEE-
dc.subjectElectromyography(EMG)-
dc.subjectEMG-based orthotic control-
dc.subjectMuscle activation-
dc.titlePassageway Modeling Between Neural Signal And Muscle Activation-
dc.typeArticle-
dc.identifier.doi10.1109/ICCAS.2010.5669735-
dc.relation.page1164-1166-
dc.relation.journalINTERNATIONAL CONFERENCE ON CONTROL, AUTOMATION AND SYSTEMS (ICCAS 2010)-
dc.contributor.googleauthorKhan, Muhammad Bilal-
dc.contributor.googleauthorManzoor, Sajjad-
dc.contributor.googleauthorChoi, Youngjin-
dc.sector.campusE-
dc.sector.daehak공학대학-
dc.sector.department로봇공학과-
dc.identifier.pidcyj-
dc.identifier.article5669735-
Appears in Collections:
COLLEGE OF ENGINEERING SCIENCES[E](공학대학) > ROBOT ENGINEERING(로봇공학과) > Articles
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