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dc.contributor.author Park, Jaeu -
dc.contributor.author Jeong, Jinwoong -
dc.contributor.author Kim, Donggun -
dc.contributor.author Pak, Changsik -
dc.contributor.author Hong, Joonpio -
dc.contributor.author Min, Sungjoon -
dc.contributor.author Kim, Byungchae -
dc.contributor.author Lee, Sanghoon -
dc.date.accessioned 2024-01-24T14:40:12Z -
dc.date.available 2024-01-24T14:40:12Z -
dc.date.created 2024-01-24 -
dc.date.issued 2023-07-25 -
dc.identifier.isbn 9798350324471 -
dc.identifier.issn 2694-0604 -
dc.identifier.uri http://hdl.handle.net/20.500.11750/47678 -
dc.description.abstract EMG signals can be widely used for indicators of muscle activity, and it can be used for robot control. However, the practical use of the EMG sensor for the amputee has been limited due to harsh conditions in the socket where strong pressure and friction exist. In this paper, thus we suggested a flexible and stretchable EMG Sensor. It is designed to withstand the pressure of the socket and to be used repeatedly with soft adhesive material. The performance of mechanical and electrical properties is investigated, and the muscle signals are recorded in static and dynamic (jump and gait) conditions. The selectivity of the recorded muscle signals during dorsiflexion and plantar flexion shows better than that of commercial electrodes indicating that it could be used for control of robotic legs in the future.Clinical Relevance - The flexible material and stretchable electrode pattern could be helpful in clinical research for an amputee. © 2023 IEEE. -
dc.language English -
dc.publisher IEEE Engineering in Medicine and Biology Society (EMBS) -
dc.title Flexible & Stretchable EMG Sensor for Lower Extremity Amputee -
dc.type Conference Paper -
dc.identifier.doi 10.1109/EMBC40787.2023.10341075 -
dc.identifier.scopusid 2-s2.0-85179647036 -
dc.identifier.bibliographicCitation Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2023, pp.2858 - 2861 -
dc.identifier.url https://embc23-c10000.eorganiser.com.au/data/clients/1/697/submissions/160745/abstract.pdf -
dc.citation.conferencePlace AT -
dc.citation.conferencePlace Sydney -
dc.citation.endPage 2861 -
dc.citation.startPage 2858 -
dc.citation.title Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2023 -
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Department of Robotics and Mechatronics Engineering Neuro-Interfaced Robotics Lab 2. Conference Papers

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