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Spider-inspired tunable mechanosensor for biomedical applications

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dc.contributor.authorKim, T-
dc.contributor.authorHong, I-
dc.contributor.authorRoh, Y-
dc.contributor.authorKim, D-
dc.contributor.authorKim, S-
dc.contributor.authorIm, S-
dc.contributor.authorKim, C-
dc.contributor.authorJang, K-
dc.contributor.authorKim, S-
dc.contributor.authorKim, M-
dc.contributor.authorPark, J-
dc.contributor.authorGong, D-
dc.contributor.authorAhn, K-
dc.contributor.authorLee, J-
dc.contributor.authorLee, G-
dc.contributor.authorLee, H-S-
dc.contributor.authorKang, J-
dc.contributor.authorHong, JM-
dc.contributor.authorLee, S-
dc.contributor.authorSeo, S-
dc.contributor.authorKoo, B-K-
dc.contributor.authorKoh, J-s-
dc.contributor.authorHan, S-
dc.contributor.authorKang, D-
dc.date.accessioned2023-05-23T04:04:11Z-
dc.date.available2023-05-23T04:04:11Z-
dc.date.issued2023-
dc.identifier.urihttp://repository.ajou.ac.kr/handle/201003/25510-
dc.description.abstractThe recent advances of wearable sensors are remarkable but there are still limitations that they need to be refabricated to tune the sensor for target signal. However, biological sensory systems have the inherent potential to adjust their sensitivity according to the external environment, allowing for a broad and enhanced detection. Here, we developed a Tunable, Ultrasensitive, Nature-inspired, Epidermal Sensor (TUNES) that the strain sensitivity was dramatically increased (GF ~30k) and the pressure sensitivity could be tuned (10–254 kPa−1) by preset membrane tension. The sensor adjusts the sensitivity to the pressure regime by preset tension, so it can measure a wide range (0.05 Pa–25 kPa) with the best performance: from very small signals such as minute pulse to relatively large signals such as muscle contraction and respiration. We verified its capabilities as a wearable health monitoring system by clinical trial comparing with pressure wire which is considered the current gold standard of blood pressure (r = 0.96) and home health care system by binary classification of Old’s/Young’s pulse waves via machine learning (accuracy 95%).-
dc.language.isoen-
dc.titleSpider-inspired tunable mechanosensor for biomedical applications-
dc.typeArticle-
dc.identifier.urlhttps://www.nature.com/articles/s41528-023-00247-2-
dc.contributor.affiliatedAuthorHong, JM-
dc.type.localJournal Papers-
dc.identifier.doi10.1038/s41528-023-00247-2-
dc.citation.titleNpj flexible electronics-
dc.citation.volume7-
dc.citation.date2023-
dc.citation.startPage12-
dc.citation.endPage12-
dc.identifier.bibliographicCitationNpj flexible electronics, 7. : 12-12, 2023-
dc.identifier.eissn2397-4621-
dc.relation.journalidJ023974621-
Appears in Collections:
Journal Papers > School of Medicine / Graduate School of Medicine > Neurology
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