私密直播全婐app免费大渔直播,国产av成人无码免费视频,男女同房做爰全过程高潮,国产精品自产拍在线观看

相關鏈接
聯系方式
  • 通信地址:寧波市鎮海區中官西路1219號
  • 郵編:315201
  • 電話:+86-574-86621498
  • 傳真:
  • Email:tao.chen@nimte.ac.cn
當前位置:> 首頁 > 論文著作 > 正文
[Nano Energy] A Universal High Accuracy Wearable Pulse Monitoring System via High Sensitivity and Large Linearity Graphene Pressure Sensor
作者:Jiang He, P. Xiao, J.W. Shi, Y. Liang, L. Zhang, Wei Lu*, S.W. Kuo, Caofeng Pan*, and Tao Chen*
關鍵字:graphene, self-assembly, piezo-resistive sensor, wearable devices, pulse monitoring
論文來源:期刊
具體來源:Nano Energy, 2019, 59, 422-433
發表時間:2019年

Long-term accurate pulse monitoring can provide much physiological parameter information in a non-invasive way. A versatile pressure sensor with high sensitivity over a wide linear range (up to 10KPa) is thus especially desired for this purpose. However, the trade-off between

linearity region and sensitivity has not been well balanced. Despite micro/nanostructure morphologies, our simulation and mechanism analyses found that a thinner structure and better conductivity property of the sensing layer contribute to a larger linearity range and higher sensitivity, respectively. However, these two properties are often difficult to achieve simultaneously in one traditional material. Herein, a novel material design strategy is developed to fabricate a self-assembled graphene sensing film, in which the conductivity and thickness can be well balanced. As a result, Our sensor exhibits unprecedented comprehensive properties with both high sensitivity (1875.53 kPa?1) and wide linear detection range (0 - 40 kPa). The sensor is also endowed with good stability and high peak signal-noise ratio (78 dB). Taking advantages of these performances, a universal high accuracy wireless and wearable pulse monitoring system was built. This platform first provides the subtle arterial pulse signal information even under the interference of strong body movement in realtime (during running or cycling), which could not have been realized before. This wearable system is expected to provide more rich and accurate information for personalized diagnostic applications in the future.


主站蜘蛛池模板: 松原市| 石城县| 东乡族自治县| 嘉义县| 大关县| 浑源县| 潜山县| 辰溪县| 武功县| 汉中市| 边坝县| 桦甸市| 方正县| 梨树县| 乐东| 改则县| 兴义市| 三亚市| 桃江县| 英山县| 涿鹿县| 民丰县| 昌宁县| 灵山县| 日照市| 拜泉县| 丽江市| 泰顺县| 滦平县| 镇平县| 和林格尔县| 海南省| 横峰县| 灌南县| 海原县| 建始县| 武乡县| 思南县| 黄浦区| 桑日县| 肃宁县|