Micropatterned P(VDF-TrFE) Film Based Piezoelectric Nanogenerators for Highly Sensitive Self-Powered Pressure Sensing System

2015 ◽  
Vol 25 (21) ◽  
pp. 3203-3209 ◽  
Author(s):  
Ju-Hyuck Lee ◽  
Hong-Joon Yoon ◽  
Tae Yun Kim ◽  
Manoj Kumar Gupta ◽  
Jeong Hwan Lee ◽  
...  

2015 ◽  
Vol 2 ◽  
pp. 28-36 ◽  
Author(s):  
Jianjun Luo ◽  
Feng Ru Fan ◽  
Tao Zhou ◽  
Wei Tang ◽  
Fei Xue ◽  
...  

2018 ◽  
Vol 30 (28) ◽  
pp. 1801114 ◽  
Author(s):  
Ying-Chih Lai ◽  
Jianan Deng ◽  
Ruiyuan Liu ◽  
Yung-Chi Hsiao ◽  
Steven L. Zhang ◽  
...  

2021 ◽  
Vol 176 ◽  
pp. 112909
Author(s):  
Paolo Bollella ◽  
Zhanna Boeva ◽  
Rose-Marie Latonen ◽  
Kenji Kano ◽  
Lo Gorton ◽  
...  

2013 ◽  
Vol 2013 ◽  
pp. 1-8 ◽  
Author(s):  
Hsien-Tsai Wu ◽  
Men-Tzung Lo ◽  
Guan-Hong Chen ◽  
Cheuk-Kwan Sun ◽  
Jian-Jung Chen

Although previous studies have shown the successful use of pressure-induced reactive hyperemia as a tool for the assessment of endothelial function, its sensitivity remains questionable. This study aims to investigate the feasibility and sensitivity of a novel multiscale entropy index (MEI) in detecting subtle vascular abnormalities in healthy and diabetic subjects. Basic anthropometric and hemodynamic parameters, serum lipid profiles, and glycosylated hemoglobin levels were recorded. Arterial pulse wave signals were acquired from the wrist with an air pressure sensing system (APSS), followed by MEI and dilatation index (DI) analyses. MEI succeeded in detecting significant differences among the four groups of subjects: healthy young individuals, healthy middle-aged or elderly individuals, well-controlled diabetic individuals, and poorly controlled diabetic individuals. A reduction in multiscale entropy reflected age- and diabetes-related vascular changes and may serve as a more sensitive indicator of subtle vascular abnormalities compared with DI in the setting of diabetes.


2018 ◽  
Vol 17 (6) ◽  
pp. 1217-1223 ◽  
Author(s):  
Kequan Xia ◽  
Zhiyuan Zhu ◽  
Hongze Zhang ◽  
Chaolin Du ◽  
Rongji Wang ◽  
...  

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