一作与通讯作者文章: Ø2020 Zhang Y. T.*, Ma Z. G., Dong W. T., 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. 16(2) 2020, 1-7 (EI期刊, 刊出,已检索) Yin J., Xiao P. X., et al., Zhang Y. T.*, Parameters Analysis of Sample Entropy, Permutation Entropy and Permutation Ratio Entropy for RR Interval Time Series. Information Processing and Management, 2020 (SCI期刊, IF =3.8, 中科院 1区,CCF B类,接收待检索) Chen Y. C., et al., Zhang Y. T.*, Classifying heart sounds using the combination of modified frequency slice wavelet transform and convolutional neural networks. Biomedical Signal Processing and Control, (SCI期刊, IF =2.943, 二审) Ø2019 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) 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 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,) Ma Z. G., Li Y. X., Chen B.R. Zhang Y. T.* Comparing Performance of Iterative and Non-Iterative Classifiers for 2-Lead ECGs on Multi-Feature Schemes. In 2019 12th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI) (pp. 1-6). IEEE. (EI会议,已检索) 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,JCR 4区,刊出) 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. |