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뇌과학이미징연구단
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Stretchable and Self-Healable Graphene-Polymer Conductive Composite for Wearable EMG Sensor

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dc.contributor.authorJihyang Song-
dc.contributor.authorYewon Kim-
dc.contributor.authorKyumin Kang-
dc.contributor.authorSangkyu Lee-
dc.contributor.authorMikyung Shin-
dc.contributor.authorDonghee Son-
dc.date.accessioned2023-01-26T02:44:06Z-
dc.date.available2023-01-26T02:44:06Z-
dc.date.created2022-10-29-
dc.date.issued2022-09-
dc.identifier.issn2073-4360-
dc.identifier.urihttps://pr.ibs.re.kr/handle/8788114/12710-
dc.description.abstractIn bioelectronics, stretchable and self-healable electrodes can reliably measure electrophysiological signals from the human body because they have good modulus matching with tissue and high durability. In particular, the polymer-graphene composite has advantages when it is used as an electrode for bioelectronic sensor devices. However, it has previously been reported that external stimuli such as heat or light are required for the self-healing process of polymer/graphene composites. In this study, we optimized a conducting composite by mixing a self-healing polymer (SHP) and graphene. The composite materials can not only self-heal without external stimulation but also have rapid electrical recovery from repeated mechanical damage such as scratches. In addition, they had stable electrical endurance even when the cyclic test was performed over 200 cycles at 50% strain, so they can be useful for a bioelectronic sensor device with high durability. Finally, we measured the electromyogram signals caused by the movement of arm muscles using our composite, and the measured data were transmitted to a microcontroller to successfully control the movement of the robot's hand.-
dc.language영어-
dc.publisherMDPI-
dc.titleStretchable and Self-Healable Graphene-Polymer Conductive Composite for Wearable EMG Sensor-
dc.typeArticle-
dc.type.rimsART-
dc.identifier.wosid000857084500001-
dc.identifier.scopusid2-s2.0-85138817759-
dc.identifier.rimsid79186-
dc.contributor.affiliatedAuthorJihyang Song-
dc.contributor.affiliatedAuthorYewon Kim-
dc.contributor.affiliatedAuthorKyumin Kang-
dc.contributor.affiliatedAuthorSangkyu Lee-
dc.contributor.affiliatedAuthorMikyung Shin-
dc.contributor.affiliatedAuthorDonghee Son-
dc.identifier.doi10.3390/polym14183766-
dc.identifier.bibliographicCitationPOLYMERS, v.14, no.18-
dc.relation.isPartOfPOLYMERS-
dc.citation.titlePOLYMERS-
dc.citation.volume14-
dc.citation.number18-
dc.type.docTypeArticle-
dc.description.journalClass1-
dc.description.journalClass1-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaPolymer Science-
dc.relation.journalWebOfScienceCategoryPolymer Science-
dc.subject.keywordPlusCARBON-
dc.subject.keywordPlusNANOCOMPOSITES-
dc.subject.keywordPlusSKIN-
dc.subject.keywordAuthorcomposite-
dc.subject.keywordAuthorgraphene-
dc.subject.keywordAuthorself-healing-
dc.subject.keywordAuthorstretchability-
dc.subject.keywordAuthorelectromyogram-
dc.subject.keywordAuthorhuman-robot interface-
Appears in Collections:
Center for Neuroscience Imaging Research (뇌과학 이미징 연구단) > 1. Journal Papers (저널논문)
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