Author Profile
Scopus
🎓 Early Academic Pursuits
Prof. Xiaomei Wu embarked on her academic journey with a deep interest in biomedical engineering, particularly focusing on the diagnosis and treatment of arrhythmias. Her academic foundation was built on a strong background in medical sciences and engineering, which later facilitated her specialization in cardiac electrophysiology. Prof. Wu's early academic endeavors were marked by a commitment to understanding complex cardiac conditions and exploring innovative solutions for their treatment, particularly through the use of advanced technologies.
💼 Professional Endeavors
As a Professor and Doctoral Supervisor at the Department of Biomedical Engineering (BME) in the School of Information Science and Technology at Fudan University, Prof. Xiaomei Wu has made significant contributions to the field of cardiac healthcare. Her professional roles extend beyond academia, as she currently serves as the Vice Chairman of the Advisory Committee of the Chinese Heart Rhythm Society. Additionally, she holds prominent positions such as Chairman of the Active Implant Sub Technical Committee of the National Standardization Technical Committee for Surgical Implants and Orthopedic Instruments, and as a member of the Medical Electronic Instrument Standardization Sub Technical Committee of the National Standardization Committee for Medical Electrical Appliances. Her expertise is further recognized through her role as an expert at the CFDA Medical Device Technical Evaluation Center and as an Editorial Board Member of the Chinese Journal of Medical Devices. These roles underscore her leadership in shaping the future of biomedical engineering and cardiac care in China.
🔬 Contributions and Research Focus
Prof. Wu's research has been primarily focused on the diagnosis and treatment of arrhythmias, with a particular emphasis on developing innovative methods for cardiac electrophysiological intervention surgery. Her work on the Electromagnetic Positioning Method for clinical applications is particularly noteworthy. This method addresses the clinical needs of cardiac procedures by improving the precision and effectiveness of interventions. As the project leader, Prof. Wu has successfully completed multiple projects funded by prestigious organizations such as the National Natural Science Foundation, the Ministry of Science and Technology, and the Shanghai Science and Technology Commission. Her research has resulted in nearly 10 related papers and 8 Chinese invention patents, showcasing her significant contributions to the field.
🌍 Impact and Influence
Prof. Wu's work in the Electromagnetic Positioning Method has had a profound impact on the field of cardiac electrophysiology. Her research has not only advanced the understanding of arrhythmia treatment but has also led to the development of new technologies that enhance the safety and effectiveness of cardiac interventions. As a leader in both national and international biomedical engineering communities, her influence extends to the development of standards and regulations that ensure the safety and efficacy of medical devices. Her contributions have been instrumental in shaping the direction of research and development in cardiac healthcare, particularly in the area of Electromagnetic Positioning Methods.
🏆Academic Cites
Prof. Wu's research has been widely recognized and cited in academic circles, particularly in studies related to cardiac electrophysiology and biomedical engineering. Her work on the Electromagnetic Positioning Method has been referenced in numerous scholarly articles, reflecting the significance of her contributions to the field. These citations highlight the impact of her research on both theoretical and practical aspects of cardiac healthcare, making her work a valuable resource for other researchers and practitioners.
🌟 Legacy and Future Contributions
As Prof. Xiaomei Wu continues her academic and professional journey, her legacy in the field of biomedical engineering is expected to grow. Her pioneering work on the Electromagnetic Positioning Method and her leadership in cardiac electrophysiology set the stage for future advancements in the diagnosis and treatment of arrhythmias. Her ongoing research and active participation in national and international committees ensure that she will continue to contribute to the development of innovative medical technologies and standards. Prof. Wu's future contributions are likely to further enhance the precision and safety of cardiac interventions, making a lasting impact on the field of biomedical engineering.
📝Electromagnetic Positioning Method
Throughout her career, Prof. Xiaomei Wu has consistently focused on the development and application of the Electromagnetic Positioning Method in cardiac healthcare. This method has become a cornerstone of her research, leading to significant advancements in the precision and effectiveness of cardiac electrophysiological interventions. As she continues to explore new possibilities in this field, the Electromagnetic Positioning Method will remain a key area of her research, driving innovations in cardiac care and setting new standards for medical practices worldwide.
Notable Publication
📝A Shock Advisory Algorithm Based on Hybrid Network for ECG Disturbed by Cardiopulmonary Resuscitation
Authors: Y. Chen, Y. Zheng, Y. Huang, X. Wu
Journal: Biomedical Signal Processing and Control
Year: 2024
📝A Feature Selection-Incorporated Simulation Study to Reveal the Effect of Calcium Ions on Cardiac Repolarization Alternans during Myocardial Ischemia
Authors: K. Gu, Z. Geng, Y. Yang, B. Hu, X. Wu
Journal: Applied Sciences (Switzerland)
Year: 2024
📝Multi-Scale Attention Convolutional Neural Network for Noncontact Atrial Fibrillation Detection Using BCG
Authors: Q. Su, Y. Zhao, Y. Huang, P. Lu, T. Lyu
Journal: Biomedical Signal Processing and Control
Year: 2024
📝Process Analysis and Parameter Selection of Cardiomyocyte Electroporation Based on the Finite Element Method
Authors: H. Zhang, X. Ji, L. Zang, S. Yan, X. Wu
Journal: Cardiovascular Engineering and Technology
Year: 2024
📝SRT: Improved Transformer-Based Model for Classification of 2D Heartbeat Images
Authors: W. Wu, Y. Huang, X. Wu
Journal: Biomedical Signal Processing and Control
Year: 2024