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===吴阳资料===『返回』
姓名: 吴阳    
职务: 教师 职称: 讲师
办公电话: 通讯地址: 南京林业大学机电院3314室
电子邮箱: 309490530@qq.com 个人主页: https://biomeasurement.nuaa.edu.cn/
 研究方向:

智能医工检测;电阻抗成像;机器人技术

 科研项目:

[1] 江苏省科研与实践创新计划:早期肺癌精准电阻抗检测方法研究,2021.04至2022.12(主持)

[2] 国家自然科学基金面上项目:肺损伤快速病理分析的生物阻抗谱成像方法研究,2023.01至2026.12(参与)

[3] 国家科技部重点研发计划:基于电阻抗成像技术的危重症肺通气/灌注床边无创监测系统研发,2023.01至2027.12(参与)

 论文与专著:

[1] Liu Kai, Wu Yang, Wang Song et al. Artificial sensitive skin for robotics based on electrical impedance tomography [J]. Advanced Intelligent Systems, 2020, 2(4): 1900161.

[2] Wu Yang, Bai Chen, Kai Liu et al, Bayesian image reconstruction using weighted Laplace prior for lung respiratory monitoring with electrical impedance tomography [J], IEEE Transactions on Instrumentation and Measurement, 2022, 72, 1-11.

[3] Wu Yang, Chen Bai, Liu Kai et al, Shape reconstruction with multiphase conductivity for electrical impedance tomography using improved convolutional neural network method [J], IEEE Sensors Journal, 2021, 21(7), 9277-9287.

[4] Wu Yang, Zhou Tong, Chen Bai et al, Bayesian shape reconstruction using B-spline level set in electrical impedance tomography [J], IEEE Sensors Journal, 2022, 22(19), 19010-19019. 

[5] Wu Yang, Chen Bai, Liu Kai et al, An adaptive parametric level-set method for lung health monitoring with smartphone-based electrical impedance tomography [J]. Measurement Science and Technology, 2022, 33(9), 095403.

[6] 吴阳, 刘凯, 陈柏, 等. 自适应粒子群算法优化径向基函数神经网络用于电阻抗成像图像重建 [J], 仪器仪表学报, 2020, 41(6) , 240-249.

[7] Liu Kai, Wu Yang, Zhu Tianming, et al. Improved RBF Network Torque Control in Flexible Manipulator Actuated by PMAs [J]. Robotica, 2019, 37(2): 264-280.

[8] Liu Kai, Wu Yang, Xu Jiaqi, et al. Fuzzy Sliding Mode Control of 3-DOF Shoulder Joint Driven by Pneumatic Muscle Actuators [J]. International Journal of Robotics and Automation, 2019, 34(1):38-45.

[9]  姚佳烽, 吴阳, 代君, 陈柏, 刘凯. 基于块稀疏贝叶斯学习数据处理方法, 授权公告号: CN115245322B, 2024-02.

 教学工作:

微机原理、机电传动控制

 荣誉奖励:

[1] 第十届“天宫杯”研究生创新实验竞赛特等奖

[2] 广东医学科学技术奖二等奖

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