Work

Machine-Learning Mental-Fatigue-Measuring μm-Thick Elastic Epidermal Electronics (MMMEEE)

Year: 2024

Type: article

Source: Nano Letters

DOI: 10.1021/acs.nanolett.4c02474

Authors: Haogeng Liu, Haichuan Li, Yexiong Wang, Yan Liu, Lizhi Xiao, Weidong Guo, Yaoguang Lin, Hongteng Wang, Tianqi Wang, Haiwang Yan, Shunkai Lai, Yaofei Chen, Zongxia Mou, Lei Chen, Yunhan Luo, Gui-Shi Liu, Xingcai Zhang

Institutions: Jinan University, Harvard University, University of Jinan, First Affiliated Hospital of Jinan University, Key Laboratory of Guangdong Province, Stanford University

Language: English

Topic: Advanced Sensor and Energy Harvesting Materials

Subfield: Biomedical Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: closed

Funders: National Natural Science Foundation of China, Fundamental Research Funds for the Central Universities, Basic and Applied Basic Research Foundation of Guangdong Province

Awards: G1573602895, G1941539842, G2962293361, G3108158669, G5128788462, G609580040, G6306205504, G7321206569, G8861344638

OpenAlex ID: W4404833971

FWCI: 2.202

Cites: 53

Cited by: 21

Related to: 10