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Durable superhydrophobic surface in wearable sensors: From nature to application Review article
2024
Authors:  Dai, Ziyi;  Lei, Ming;  Ding, Sen;  Zhou, Qian;  Ji, Bing; et al.
Favorite | TC[WOS]:13 TC[Scopus]:12 | Submit date：2024/05/02
Encapsulation-free Devices  Superhydrophobic Surfaces  Wearable Sensors  
Validity of Three Smartwatches in Estimating Energy Expenditure during Outdoor Walking and Running Journal article
Le, Shenglong, Wang, Xiuqiang, Zhang, Tao, Lei, Si Man, Cheng, Sulin, Yao, Wu, Schumann, Moritz. Validity of Three Smartwatches in Estimating Energy Expenditure during Outdoor Walking and Running[J]. Frontiers Physiology, 2022, 13.
Authors:  Le, Shenglong;  Wang, Xiuqiang;  Zhang, Tao;  Lei, Si Man;  Cheng, Sulin; et al.
Favorite | TC[WOS]:4 TC[Scopus]:4 | Submit date：2022/08/20
Wearable Devices  Validation  Accuracy  Physical Activity  Health Monitoring  
Efficient graph convolutional networks for seizure prediction using scalp EEG Journal article
Jia, Manhua, Liu, Wenjian, Duan, Junwei, Chen, Long, Chen, C. L.Philip, Wang, Qun, Zhou, Zhiguo. Efficient graph convolutional networks for seizure prediction using scalp EEG[J]. Frontiers in Neuroscience, 2022, 16, 967116.
Authors:  Jia, Manhua;  Liu, Wenjian;  Duan, Junwei;  Chen, Long;  Chen, C. L.Philip; et al.
Favorite | TC[WOS]:14 TC[Scopus]:19 | Submit date：2022/09/07
Eeg  Gcn  Geometric Deep Learning  Seizure Prediction  Wearable Devices  
Recent Advances in Intelligent Wearable Medical Devices Integrating Biosensing and Drug Delivery Journal article
Tan, Minhong, Xu, Yang, Gao, Ziqi, Yuan, Tiejun, Liu, Qingjun, Yang, Rusen, Zhang, Bin, Peng, Lihua. Recent Advances in Intelligent Wearable Medical Devices Integrating Biosensing and Drug Delivery[J]. Advanced Materials, 2022, 34(27).
Authors:  Tan, Minhong;  Xu, Yang;  Gao, Ziqi;  Yuan, Tiejun;  Liu, Qingjun; et al.
Favorite | TC[WOS]:86 TC[Scopus]:95  IF:27.4/30.2 | Submit date：2023/01/30
Biosensing  Drug Delivery  Integrated Systems  Smart Materials  Wearable Devices  
Highly Dispersed Graphene Network Achieved by using a Nanoparticle-Crosslinked Polymer to Create a Sensitive Conductive Sensor Journal article
Wang,Qiao, Li,Lefan, Lu,Zeyu, Hu,Xiaosai, Li,Zongjin, Sun,Guoxing. Highly Dispersed Graphene Network Achieved by using a Nanoparticle-Crosslinked Polymer to Create a Sensitive Conductive Sensor[J]. ChemElectroChem, 2019, 6(19), 5006-5013.
Authors:  Wang,Qiao;  Li,Lefan;  Lu,Zeyu;  Hu,Xiaosai;  Li,Zongjin; et al.
Favorite | TC[WOS]:12 TC[Scopus]:11  IF:3.5/3.9 | Submit date：2021/03/09
Electrically Conductive Hydrogels  Graphene  Nanoparticles  Soft Sensors  Wearable Devices  
Facile Preparation of Hybrid Structure based on Meso-dome and Micro-pillar Array as Flexible Electronic Skin with Tunable Sensitivity and Detection Range Journal article
Ji, B., Mao, Y., Zhou, Q., Zhou, J., Chen, G., Gao, Y., Tian, Y., Wen, W., Zhou, B.. Facile Preparation of Hybrid Structure based on Meso-dome and Micro-pillar Array as Flexible Electronic Skin with Tunable Sensitivity and Detection Range[J]. ACS Applied Materials & Interfaces, 2019, 28060-28071.
Authors:  Ji, B.;  Mao, Y.;  Zhou, Q.;  Zhou, J.;  Chen, G.; et al.
Favorite | TC[WOS]:73 TC[Scopus]:72  IF:8.3/8.7 | Submit date：2022/07/27
Pressure Sensor  Silver Nanowires  Wearable Devices  Hybrid Structure  
Robust and Wearable Pressure Sensor Assembled from AgNW-Coated PDMS Micropillar Sheets with High Sensitivity and Wide Detection Range Journal article
Mao, Yongyun, Ji, Bing, Chen, Ge, Hao, Changxiang, Zhou, Bingpu, Tian, Yanqing. Robust and Wearable Pressure Sensor Assembled from AgNW-Coated PDMS Micropillar Sheets with High Sensitivity and Wide Detection Range[J]. ACS Applied Nano Materials, 2019, 2(5), 3196-3205.
Authors:  Mao, Yongyun;  Ji, Bing;  Chen, Ge;  Hao, Changxiang;  Zhou, Bingpu; et al.
Favorite | TC[WOS]:59 TC[Scopus]:63  IF:5.3/5.4 | Submit date：2021/09/17
Interlocked Connection Structure (Ilcs)  Pdms Pillar Arrays  Point-to-point Connection Structure (Ppcs)  Pressure Sensor  Silver Nanowires  Wearable Electronic Devices  
A 0.4 V 6.4 μW 3.3 MHz CMOS Bootstrapped Relaxation Oscillator with ±0.71% Frequency Deviation over −30 to 100 °C for Wearable and Sensing Applications Conference paper
Lei, K. M., Mak, P. I., Martins, R. P.. A 0.4 V 6.4 μW 3.3 MHz CMOS Bootstrapped Relaxation Oscillator with ±0.71% Frequency Deviation over −30 to 100 °C for Wearable and Sensing Applications[C], 2018.
Authors:  Lei, K. M.;  Mak, P. I.;  Martins, R. P.
Favorite | TC[WOS]:3 TC[Scopus]:3 | Submit date：2022/01/24
Cmos  Relaxation Oscillator (Rxo)  Bootstrap  Bulk-driven Amplifier  Ultra-low-voltage (Ulv)  Wearable Devices  
A 0.4 v 6.4 μw 3.3 MHz CMOS Bootstrapped Relaxation Oscillator with ±0.71% Frequency Deviation over -30 to 100 °c for Wearable and Sensing Applications Conference paper
Ka-Meng Lei, Pui-In Mak, R. P. Martins. A 0.4 v 6.4 μw 3.3 MHz CMOS Bootstrapped Relaxation Oscillator with ±0.71% Frequency Deviation over -30 to 100 °c for Wearable and Sensing Applications[C], 2018.
Authors:  Ka-Meng Lei;  Pui-In Mak;  R. P. Martins
Favorite | TC[WOS]:3 TC[Scopus]:3 | Submit date：2019/02/11
Bootstrap  Bulk-driven Amplifier  Cmos  Relaxation Oscillator (Rxo)  Ultra-low-voltage (Ulv)  Wearable Devices  
The Quantified Traveler: Implications for Smart Tourism Development Book chapter
出自: Analytics in Smart Tourism Design: Concepts and Methods, SPRINGER INTERNATIONAL PUBLISHING AG, GEWERBESTRASSE 11, CHAM, CH-6330, SWITZERLAND:Springer, Cham, 2016, 页码:65-77
Authors:  Yeongbae Choe;  D.R. Fesenmaier
Favorite | TC[WOS]:26 TC[Scopus]:34 | Submit date：2019/10/21
Wearable Devices  Quantified Self  Context  Big Data  Mobility  Smart Tourism