| 書目名稱 | Feature Engineering and Computational Intelligence in ECG Monitoring | | 編輯 | Chengyu Liu,Jianqing Li | | 視頻video | http://file.papertrans.cn/342/341558/341558.mp4 | | 概述 | 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 m | | 圖書封面 |  | | 描述 | .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.. | | 出版日期 | Book 2020 | | 關(guān)鍵詞 | Electrocardiogram (ECG); Feature engineering; Computational intelligence; Machine learning; ECG Monitori | | 版次 | 1 | | doi | https://doi.org/10.1007/978-981-15-3824-7 | | isbn_softcover | 978-981-15-3826-1 | | isbn_ebook | 978-981-15-3824-7 | | copyright | Springer Nature Singapore Pte Ltd. 2020 |
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