Ge Deng
Tsinghua University
7 Papers
5 Citations
Ge Deng is an academic researcher from Tsinghua University. The author has contributed to research in topics: Electronic skin & Graphene. The author has an hindex of 5, co-authored 7 publications.
Chat about Author
Papers
Triode-Mimicking Graphene Pressure Sensor with Positive Resistance Variation for Physiology and Motion Monitoring
Qi Wu,Yancong Qiao,Rui Guo,Shayan Naveed,Thomas Hirtz,Xiaoshi Li,Yixin Fu,Yuhong Wei,Ge Deng,Yi Yang,Xiaoming Wu,Tian-Ling Ren +11 more
TL;DR: A low-cost flexible pressure sensor with positive resistance-pressure respond based on laser scribing graphene that owns outstanding capability, showing a wide application range such as intelligent perception, interactive device and real-time health/motion monitoring.
235
Graphene-based wearable sensors
Yancong Qiao,Xiaoshi Li,Thomas Hirtz,Ge Deng,Yuhong Wei,Mingrui Li,Shourui Ji,Qi Wu,Jinming Jian,Fan Wu,Yang Shen,He Tian,Yi Yang,Tian-Ling Ren +13 more
TL;DR: Wearable graphene sensors can improve the quality and quantity of the physiological signals and have great potential for health-care and telemedicine in the future.
124
Multifunctional and high-performance electronic skin based on silver nanowires bridging graphene
Yancong Qiao,Yunfan Wang,Jinming Jian,Mingrui Li,Guangya Jiang,Xiaoshi Li,Ge Deng,Shourui Ji,Yuhong Wei,Yu Pang,Qi Wu,He Tian,Yi Yang,Xiaoming Wu,Tian-Ling Ren +14 more
TL;DR: By imitating the plasmodesmata, a silver nanowires (AgNWs) bridging laser scribed graphene oxide electronic skin (GES) have been proposed with a customized pattern that facilitates the real-time monitoring of electrocardiogram (ECG) and electroencephalogram (EEG) signals.
82
Substrate-Free Multilayer Graphene Electronic Skin for Intelligent Diagnosis.
Yancong Qiao,Xiaoshi Li,Jinming Jian,Qi Wu,Yuhong Wei,Hua Shuai,Thomas Hirtz,Yao Zhi,Ge Deng,Yunfan Wang,Guang-Yang Gou,Jiandong Xu,Tianrui Cui,He Tian,Yi Yang,Tian-Ling Ren +15 more
TL;DR: An ECG detecting system has been designed based on the GES, which can monitor the body condition in real time and analyze the ECG signals automatically, a convolutional neural network was built and trained successfully.
53
A Flexible Electroencephalography Electronic Skin Based on Graphene
Ge Deng,Yancong Qiao,Ning-Qin Deng,Xiaoshi Li,Qi Wu,Ying-Fen Zeng,Si-Fan Yang,Tian-Ling Ren +7 more
- 08 Apr 2021
TL;DR: In this paper, a graphene-based EEG monitoring electronic skin (e-skin) is designed through flexible electronic process, which greatly improves the convenience, motion anti-interference ability and signal feature recognition ability.
7