医学人工智能团队成员—​谢小云

发布者:hhxx发布时间:2023-12-29浏览次数:64

谢小云,助理研究员。于20162019年分别获山东科技大学的学士和硕士学位,现在BWIN必赢官网山东省人工智能研究院工作。近几年主要从事医学信号处理算法,数字信号降噪算法等研究工作,在FGCSTIM期刊上以一作发表论文2篇,授权发明专利2项。

 

研究方向:深度学习算法、医学信号降噪与分类。

 

部分代表性论文

[1]       Xiaoyun Xie, Hui Liu, Minglei Shu, Qing Zhu, Anpeng Huang, Xiangpu Kong, Yinglong Wang; A multi-stage denoising framework for ambulator ECG signal based on domain knowledge and motion artifact detection. Future Generation Computer Systems, 2021, 116:103-116.

[2]     X. Xie, H. Liu, D. Chen, M. Shu, and Y. Wang: Multilabel 12-Lead ECG classification based on leadwise grouping multibranch network. IEEE Transactions on Instrumentation and Measurement, vol. 71, 2022, doi: 10.1109/TIM.2022.3164141.

[3]     Wu Lu, Xiaoyun Xie, Yinglong Wang: ECG enhancement and R-peak detection based on window variability, Healthcare, 2021.

代表性授权发明专利

1.       谢小云,王英龙,刘辉,舒明雷,周书旺,刘照阳;一种跳跃突变噪声的动态心电信号基线漂移矫正方法,中国专利,专利号:ZL201911027439.2

2.       Xiaoyun Xie, Yinglong Wang, Hui Liu, Minglei Shu, Shuwang Zhou, Zhaoyang Liu; Method for correcting Baseline Drift of dynamic ecg signal with sudden jump noise, 荷兰专利,专利号:2025147.

3.       谢小云,舒明雷,陈达,刘辉,周书旺,许继勇;一种基于导联分组的12导联心电信号多标签分类方法,中国专利,专利号:ZL202111454656.7