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{ "item_title" : "Feature Engineering and Computational Intelligence in ECG Monitoring", "item_author" : [" Chengyu Liu", "Jianqing Li "], "item_description" : "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.", "item_img_path" : "https://covers3.booksamillion.com/covers/bam/9/81/153/823/9811538239_b.jpg", "price_data" : { "retail_price" : "169.99", "online_price" : "169.99", "our_price" : "169.99", "club_price" : "169.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Feature Engineering and Computational Intelligence in ECG Monitoring|Chengyu Liu

Feature Engineering and Computational Intelligence in ECG Monitoring

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Overview

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.

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Details

  • ISBN-13: 9789811538230
  • ISBN-10: 9811538239
  • Publisher: Springer
  • Publish Date: June 2020
  • Dimensions: 9.21 x 6.14 x 0.69 inches
  • Shipping Weight: 1.25 pounds
  • Page Count: 268

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