Breathable Bioadhesive Electronic Skin for Precise Multimodal Electrophysiological Monitoring with AI-Assisted Physiological-State Prediction
-hydroxysuccinimide ester (PAA-NHS), seamlessly integrated with a liquid metal (LM) serpentine conductive path. Compared with commercial electrodes (gel-based wet electrode), this MESME exhibits high mechanical flexibility and conformability, superior breathability, robust bioadhesion, stable electrical performance under perspiration, and motion conditions and lower interfacial impedance, enabling high-fidelity multimodal signal acquisition. Leveraging this capability, the multimodal signals generated by MESME can be further integrated with deep learning for drowsiness prediction, achieving a validation accuracy of 97.14%. This platform offers a practical strategy for multimodal electrophysiological monitoring and supports future development of data-driven health assessment models.
Authors
- Dongyong Sha (ORCID: https://orcid.org/0000-0001-7352-943X)
- Shuaimin Tang
- Ao Xu (ORCID: https://orcid.org/0009-0001-1763-2069)
- Zhuoya Wang (ORCID: https://orcid.org/0000-0002-2279-2147)
- Ding Ding
- Chuanwei Zhou
- Y Liu
- Xinwu Yin
- Yifan Ma
- Yuan Yuan (ORCID: https://orcid.org/0000-0001-7877-3175)
- Shuai Wang
- Ruoxue Guo
- Changsheng Liu
Institutions
- The University of Texas MD Anderson Cancer Center (US)
- East China University of Science and Technology (CN)
- Shanghai Jiao Tong University (CN)
- Ministry of Education (IR)
- Digital Science (United States) (US)
- Shanghai First People's Hospital (CN)
- Ministry of Education (TW)
- State Key Laboratory of Digital Medical Engineering (CN)
Publication Details
- Journal
- ACS Applied Materials & Interfaces
- Published
- 2026-05-11
- DOI
- https://doi.org/10.1021/acsami.6c05481
- Primary Topic
- Advanced Sensor and Energy Harvesting Materials
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China
- Program of Shanghai Academic Research Leader