孙庆华
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个人信息Personal Information
副研究员 硕士生导师
性别：男
毕业院校：华南理工大学
学历：博士研究生毕业
学位：博士
所在单位：控制科学与工程学院
入职时间：2025-02
学科：生物医学工程
办公地点：千佛山校区创新大厦B607
电子邮箱：
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- [1] 王聪, 梁春苗, 陈玉国, 孙庆华, and 庞佼佼, Concurrent Analysis of Dynamic and Static Features for Classifying Cardiac Rhythms, 《IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT》 2024, 73,
- [2] 王聪, 梁春苗, 陈玉国, 孙庆华, 张付凯, 吴伟明, and 姬冰, An interpretable ensemble trees method with joint analysis of static and dynamic features for myocardial infarction detection, PHYSIOLOGICAL MEASUREMENT 2024, 45,
- [3] 王聪, 曲皆锐, 陈玉国, 孙庆华, 张付凯, and 吴伟明, An interpretable shapelets-based method for myocardial infarction detection using dynamic learning and deep learning, PHYSIOLOGICAL MEASUREMENT 2024, 45,
- [4] 王聪, 孙庆华, 陈玉国, 庞佼佼, and 刘汝刚, A multi-lead group network for myocardial infarction detection and localization based on clinical knowledge-driven and dynamic-static feature fusion, Expert Systems with Applications 2025, 274,
- [5] 王聪, 孙庆华, 陈玉国, and 杨建民, Multi-phase ECG dynamic features for detecting myocardial ischemia and identifying its etiology using deterministic learning, Biomedical Signal Processing and Control 2024, 88,
- [6] 王聪, 孙庆华, 陈玉国, 刘汝刚, 姬冰, and 陈填锐, Early detection of myocardial ischemia in 12lead ECG using deterministic learning and ensemble learning, Computer Methods and Programs in Biomedicine 2022, 226,
- [7] 孙庆华, 王聪, 陈玉国, 庞佼佼, and 刘汝刚, Multiscale Joint Recurrence Quantification Analysis Integrating ECG Spatiotemporal and Dynamic Information for Cardiopathy Detection, 《IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT》 2024, 73, 1-13.
- [8] 孙庆华, 刘汝刚, , 王聪, 陈玉国, 庞佼佼, and 徐峰, Study on dynamic learning-enabled electrocardiogram for evaluating the efficacy of percutaneous coronary intervention in patients with acute coronary syndrome 动态学习赋能心电图评估急性冠脉综合征患..., 《中华急诊医学杂志》 2022, 31, 922-929.
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