张亚涛


张亚涛



姓名:张亚涛

职称:讲师

学位:博士

毕业院校:西北师范大学

所学专业:计算机科学与技术

研究方向

数据挖掘,人工智能,图像处理,信号评估

教育经历

西北师范大学,学士

山东大学,硕士

山东大学,博士

山东大学,博士后

开课情况

操作系统,数字图像处理,数据库系统设计

获奖情况

2011年度山东省科学技术进步二等奖, 第三完成人

2011年度日照市科学技术进步一等奖, 第三完成人

科研项目

主持:

1.动态生理信号质量评估中基于局部感知的LZ复杂度研究.2017.05,61批中国博士后科学基金二等资助,5万,

2.新型地毯织机微机提花系统,2013,10.横向,20万,

3.提花控制系统” 2007.11.横向,10万,

主要参与人:

1.实时动态环境下脉搏信号的质量评估和函数解析模型研究,2017.01,国家自然基金面上项目,65万,

2.模糊测度熵算法及其在充血性心衰检测中的应用研究,2013.04,山东省自然基金青年项目,5万,

3.基于模糊思想与信号质量评估协同作用的熵测度理论和技术研究,2013-01-01 - 2015-12-01,国家自然基金青年基金项目,

4.在微机应用系统中总线负载的估算及驱动方法的优化研究”,山东大学威海分校科研基金项目,项目编号:XZ03043,2005年8月结题。

5.地毯织机微机控制系统,山东省科技发展规划项目,2002年12月通过省级鉴定。项目编号:981144116,鉴定证书编号:鲁科成鉴字[2002]第1039号。

发表文章

一作与通讯作者文章:

Ø2019

[1]   Zhang Y. T.*, Ma Z. G., Liu F. F. and Liu Z. S., Nonlinear Quality Indices Based on a Novel Lempel-Ziv Complexity for Assessing Quality of Multi-lead ECGs Collected in Real Time, submitted to Journal of Information Processing Systems. (EI期刊, Accepted)

[2]   Zhang Y. T.*, Wei S., Zhang L. and Liu C.. Comparing the Performance of Random Forest, SVM and Their Variants for ECG Quality Assessment Combined with Nonlinear Features. Journal of Medical and Biological Engineering, 2018, 1-12. doi.org/10.1007/s40846-018-0411-0. (SCI期刊,IF =1.211, online,JCR 4区,待检索)

Ø2018

[3]   Zhang Y. T.*, C.Y. Liu, S.S. Wei, Y.G. Liu, H. Liu, Complexity Analysis of Physiological Time Series Using a Novel Permutation-Ratio Entropy. IEEE Access, 2018. Online (SCI期刊IF: 3.557, JCR 1区,)

Ø2017

lZhang Y.T., et al.Normal and abnormal Phonocardiogram classification based waveform and frequency features using LSSVM//Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD), 2016 12th International Conference on. IEEE, 2017: (EI)

lZhang Y.T., et al. Applying An Novel Symbolic Approach to Improving Performance of Entropy Methods for Physiological Time Series //CISP-BMEI 2017, 2017 International Conference on. IEEE, 2017: (EI)

Ø2016

lZhang Y.T., Wei S, Liu H, et al. A novel encoding Lempel–Ziv complexity algorithm for quantifying the irregularity of physiological time series[J]. Computer methods and programs in biomedicine, 2016, 133: 7-15. (SCI, IF:1.81)

l张亚涛,刘澄玉,刘海,等.一种编码式Lempel—Ziv复杂度用于生理信号复杂度分析[J].生物医学工程学杂志, 2016, 33(6): 1176-1182. (EI)

lZhang Y.T., Wei S, Zhang L, et al. A signal quality assessment method for mobile ECG using multiple features and fuzzy support vector machine[C]//Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD), 2016 12th International Conference on. IEEE, 2016: 966-971. (EI)

lZhang Y.T., Wei S, Di Maria C, et al. Using Lempel–Ziv Complexity to Assess ECG Signal Quality[J]. Journal of medical and biological engineering, 2016, 36(5): 625-634. (SCI, IF:1.010)

Ø2015

lZhang Y.T., Shoushui W, Yutao Long, et al. On applying multi-scale entropy to quality assessment of ECG collected via mobile phone[C]//Control Conference (CCC), 2015 34th Chinese. IEEE, 2015: 4767-4771. (EI)

lZhang Y.T., Wei S, Long Y, et al. Performance analysis of multiscale entropy for the assessment of ECG signal quality[J]. Journal of Electrical and Computer Engineering, 2015, 2015: 31. (EI)

Ø2014

lZhang Y.T., Liu C, Wei S, et al. ECG quality assessment based on a kernel support vector machine and genetic algorithm with a feature matrix[J]. Journal of Zhejiang University SCIENCE C, 2014, 15(7): 564-573. (SCI, IF: 0.386)

l张亚涛,魏凯斌.基于虹膜的网络身份验证系统研究[J].计算机工程与设计, 2008, 29(9): 2217-2218.

参与会议

中国控制会议2015,

ICNC 2016

ICNC2017

学术兼职

1. IEEE ACCESS,Journal of Medical and Biological Engineering(JMBE)同行审稿人
2. Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD), 2017 13th International Conference on. IEEE,同行审稿人
3. 2017 10th CISP, BMEI on IEEE, 同行审稿人

电子邮箱

zytboy@sdu.edu.cn

招生信息:欢迎对机器学习,生物特征识别方向感兴趣的同学加入


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