Deep Learning Assisted Body Area Triboelectric Hydrogel Sensor Network for Infant Care-Reference-Cited by-同舟云学术

Deep Learning Assisted Body Area Triboelectric Hydrogel Sensor Network for Infant Care

Published:2022-06-15 Issue:35 Volume:32 Page:2204803
ISSN:1616-301X
Container-title:Advanced Functional Materials
language:en
Short-container-title:Adv Funct Materials

Author:

Guo Rui¹,Fang Yunsheng²,Wang Zhaosu¹,Libanori Alberto²,Xiao Xiao²^ORCID,Wan Dong¹,Cui Xiaojing¹,Sang Shengbo¹,Zhang Wendong¹,Zhang Hulin¹,Chen Jun²^ORCID

Affiliation:

1. College of Information and Computer Taiyuan University of Technology Taiyuan 030024 P. R. China

2. Department of Bioengineering University of California, Los Angeles Los Angeles CA 90095 USA

Funder

Shanxi Scholarship Council of China

Publisher

Wiley

Subject

Electrochemistry,Condensed Matter Physics,Biomaterials,Electronic, Optical and Magnetic Materials

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/adfm.202204803

Reference42 articles.

1. Measurement and Analysis of Human Infant Crawling for Rehabilitation: A Narrative Review

2. The role of crawling and walking experience in infant spatial memory

3. The Epigenesis of Wariness of Heights

4. Time Crawls

5. A flexible ultra-sensitive triboelectric tactile sensor of wrinkled PDMS/MXene composite films for E-skin

Cited by 86 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Selective detection enabled by terahertz spectroscopy and plasmonics: Principles and implementations;TrAC Trends in Analytical Chemistry;2024-11

2. Artificial intelligence enabled biodegradable all-textile sensor for smart monitoring and recognition;Nano Energy;2024-11

3. Predicting concrete strength early age using a combination of machine learning and electromechanical impedance with nano-enhanced sensors;Environmental Research;2024-10

4. Wearable hydrogel-based health monitoring systems: A new paradigm for health monitoring?;Chemical Engineering Journal;2024-09

5. Intelligent cardiovascular disease diagnosis system combined piezoelectric nanogenerator based on 2D Bi2O2Se with deep learning technique;Nano Energy;2024-09