Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/76002
DC FieldValueLanguage
dc.contributor.authorWang, Fen_US
dc.contributor.authorLiu, Sen_US
dc.contributor.authorShu, Len_US
dc.contributor.authorTao, XMen_US
dc.date.accessioned2018-05-10T02:55:07Z-
dc.date.available2018-05-10T02:55:07Z-
dc.date.issued2017-
dc.identifier.citationCarbon, 2017, v. 121, p. 353-367en_US
dc.identifier.issn0008-6223-
dc.identifier.urihttp://hdl.handle.net/10397/76002-
dc.description.abstractWith the advent of the era of big data and Internet of Things, wearable electronics are becoming more imperative than ever before, which prompts the continuous and fruitful research on wearable sensors and sensing network for health and environmental monitoring. This article presents an in-depth overview and review of this fertile area, focusing on sensors and sensing networks for strain, pressure, surface bio-potential, gas and temperature, which are made from low-dimensional carbon nano-materials and their composites. It covers materials, device structures, fabrication, performance and applications. It's evident that the appropriate and deliberate selection of low-dimensional carbon materials, matrix and substrate materials, and their interactions, as well as effective structural designs, are essential for highly sensitive and stable performance. Finally, the current status of industrial application is presented, possible hindrances for the adaptation of the technology are discussed, and future directions of development are indicated.en_US
dc.description.sponsorshipDepartment of Biomedical Engineeringen_US
dc.description.sponsorshipInstitute of Textiles and Clothingen_US
dc.language.isoenen_US
dc.publisherPergamon Pressen_US
dc.relation.ispartofCarbonen_US
dc.titleLow-dimensional carbon based sensors and sensing network for wearable health and environmental monitoringen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.spage353-
dc.identifier.epage367-
dc.identifier.volume121-
dc.identifier.doi10.1016/j.carbon.2017.06.006-
dc.identifier.isiWOS:000405294400040-
dc.identifier.scopus2-s2.0-85020248303-
dc.identifier.eissn1873-3891-
dc.identifier.rosgroupid2017002157-
dc.description.ros2017-2018 > Academic research: refereed > Publication in refereed journal-
dc.description.validate201805 bcrc-
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