Overview
Includes a wealth of research on feature engineering and computational intelligence solutions for ECG monitoring
Furthers our understanding of the interface between physiological signal analysis and machine learning
Inspires further research on rational applications of feature engineering and computational intelligence in ECG monitoring
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Table of contents (15 chapters)
Keywords
About this book
This book discusses feature engineering and computational intelligence solutions for ECG monitoring, with a particular focus on how these methods can be efficiently used to address the emerging challenges of dynamic, continuous & long-term individual ECG monitoring and real-time feedback. By doing so, it provides a “snapshot” of the current research at the interface between physiological signal analysis and machine learning. It also helps clarify a number of dilemmas and encourages further investigations in this field, to explore rational applications of feature engineering and computational intelligence in ECG monitoring. The book is intended for researchers and graduate students in the field of biomedical engineering, ECG signal processing, and intelligent healthcare.
Editors and Affiliations
About the editors
Dr. Jianqing Li received his B.S. and M.S. degrees in Automatic Technology, and his Ph.D. degree in Measurement Technology and Instruments from the School of Instrument Science and Engineering, Southeast University, China, in 1986, 1990 and 2000 respectively. He is currently the Vice-President of Nanjing Medical University, a Professor at the School of Biomedical Engineering and Informatics, Nanjing Medical University, and a Professor at the School of Instrument Science and Engineering at Southeast University. He is the founding Director of the Key Laboratory of Clinical Medical Engineering in Nanjing Medical University, and the deputy Director of the Jiangsu Key Lab of Remote Measurement and Control at Southeast University, where he leads the research on medical-industry, cross-innovation cooperation, medical device development and clinical applications. His research topics include wearable medical sensors and signal processing, rehabilitation robot technology, and robot telepresence technology. He has been awarded funding for more than 20 research projects and holds over 20 patents.
Bibliographic Information
Book Title: Feature Engineering and Computational Intelligence in ECG Monitoring
Editors: Chengyu Liu, Jianqing Li
DOI: https://doi.org/10.1007/978-981-15-3824-7
Publisher: Springer Singapore
eBook Packages: Biomedical and Life Sciences, Biomedical and Life Sciences (R0)
Copyright Information: Springer Nature Singapore Pte Ltd. 2020
Hardcover ISBN: 978-981-15-3823-0Published: 25 June 2020
Softcover ISBN: 978-981-15-3826-1Published: 25 June 2021
eBook ISBN: 978-981-15-3824-7Published: 24 June 2020
Edition Number: 1
Number of Pages: X, 268
Number of Illustrations: 24 b/w illustrations, 77 illustrations in colour
Topics: Biomedical Engineering/Biotechnology, Computational Intelligence, Bioinformatics
Industry Sectors: Biotechnology, Chemical Manufacturing, Consumer Packaged Goods, Pharma