Mapping of Spatiotemporal Auricular Electrophysiological Signals Reveals Human Biometric Clusters
Abstract: Underneath the ear skin there are rich vascular network and sensory nerve branches. Hence, the 3D mapping of auricular electrophysiological signals can provide new biomedical perspectives. However, it is still extremely challenging for current sensing techniques to cover the entire ultra‐curved auricle. Here, a 3D graphene‐based ear‐conformable sensing device with embedded and distributed 3D electrodes for full‐auricle physiological monitoring is reported. As a proof‐of‐concept, spatiotemporal auricular electrical skin resistance (AESR) mapping is demonstrated for the first time, and human subject‐specific AESR distributions are observed. From the data of more than 30 ears (both right and left ears), the auricular region‐specific AESR changes after cycling exercise are observed in 98% of the tests and are clustered into four groups via machine learning‐based data analyses. Correlations of AESR with heart rate and blood pressure are also studied. This 3D electronic platform and AESR‐based biometrical findings show promising biomedical applications.
- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- Extent
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Online-Ressource
- Language
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Englisch
- Bibliographic citation
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Mapping of Spatiotemporal Auricular Electrophysiological Signals Reveals Human Biometric Clusters ; day:31 ; month:10 ; year:2022 ; extent:13
Advanced healthcare materials ; (31.10.2022) (gesamt 13)
- Creator
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Huang, Qingyun
Wu, Cong
Hou, Senlin
Yao, Kuanming
Sun, Hui
Wang, Yufan
Chen, Yikai
Law, Junhui
Yang, Mingxiao
Chan, Ho‐yin
Roy, Vellaisamy A. L.
Zhao, Yuliang
Wang, Dong
Song, Enming
Yu, Xinge
Lao, Lixing
Sun, Yu
Li, Wen J.
- DOI
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10.1002/adhm.202201404
- URN
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urn:nbn:de:101:1-2022110114072173442965
- Rights
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
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15.08.2025, 7:37 AM CEST
Data provider
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Huang, Qingyun
- Wu, Cong
- Hou, Senlin
- Yao, Kuanming
- Sun, Hui
- Wang, Yufan
- Chen, Yikai
- Law, Junhui
- Yang, Mingxiao
- Chan, Ho‐yin
- Roy, Vellaisamy A. L.
- Zhao, Yuliang
- Wang, Dong
- Song, Enming
- Yu, Xinge
- Lao, Lixing
- Sun, Yu
- Li, Wen J.