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Feature Engineering and Computational Intelligence in ECG Monitoring

  • Chengyu Liu
  • Jianqing Li
Book
  • 683 Downloads

Table of contents

  1. Front Matter
    Pages i-x
  2. Introduction

  3. Databases Available for Research

    1. Front Matter
      Pages 11-11
  4. Relevance of Signal Quality

    1. Front Matter
      Pages 31-31
    2. Feifei Liu, Shoushui Wei, Fei Lin, Xinge Jiang, Chengyu Liu
      Pages 33-54
    3. Yixuan Li, Chengyu Liu, Yuwei Zhang, Jianqing Li
      Pages 55-71
    4. Huanqian Zhang, Jianlong Zhao
      Pages 73-88
  5. Latest Techniques for Machine Leaning

    1. Front Matter
      Pages 89-89
    2. Qing Pan, Xinyi Li, Luping Fang
      Pages 91-111
    3. Runnan He, Yang Liu, Henggui Zhang
      Pages 113-141
    4. Wenjie Cai, Danqin Hu
      Pages 143-156
    5. Yaowei Li, Frédéric Precioso, Chengyu Liu
      Pages 157-174
  6. Practical Applications

    1. Front Matter
      Pages 175-175
    2. Caiyun Ma, Shoushui Wei, Chengyu Liu
      Pages 177-195
    3. Xiaotong Dong, Shoushui Wei, Hongru Jiang, Chengyu Liu
      Pages 197-213
    4. Jian Dai, Zehui Sun, Xianliang He
      Pages 215-226
    5. Kejun Dong, Li Zhao, Chengyu Liu
      Pages 227-243

About this book

Introduction

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.

Keywords

Electrocardiogram (ECG) Feature engineering Computational intelligence Machine learning ECG Monitoring

Editors and affiliations

  • Chengyu Liu
    • 1
  • Jianqing Li
    • 2
  1. 1.The State Key Laboratory of Bioelectronics, School of Instrument Science and EngineeringSoutheast UniversityNanjingChina
  2. 2.School of Biomedical Engineering and InformaticsNanjing Medical UniversityNanjingChina

Bibliographic information

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