ECG Signal Processing, Classification and Interpretation: A Comprehensive Framework of Computational Intelligence (2012) (PDF) Gacek, Adam, Pedrycz, Witold (Eds.)

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Basic Information:

  • Year: 2012
  • Page Number: 278
  • File Type: PDF
  • File Size: 6.99 MB
  • Authors/ Editiors: Gacek, Adam, Pedrycz, Witold (Eds.)

Description:

The book shows how the various paradigms of computational intelligence, employed either singly or in combination, can produce an effective structure for obtaining often vital information from ECG signals. The text is self-contained, addressing concepts, methodology, algorithms, and case studies and applications, providing the reader with the necessary background augmented with step-by-step explanation of the more advanced concepts. It is structured in three parts: Part I covers the fundamental ideas of computational intelligence together with the relevant principles of data acquisition, morphology and use in diagnosis; Part II deals with techniques and models of computational intelligence that are suitable for signal processing; and Part III details ECG system-diagnostic interpretation and knowledge acquisition architectures. Illustrative material includes: brief numerical experiments; detailed schemes, exercises and more advanced problems.

Shows the research how to combine various computational intelligence techniques to obtain more information from biological signals

PhD and DSci degrees. Doctor Gacek’s research interests are in biomedical instrumentation and signal processing, especially a detection and analysis of ECG signals, based on fuzzy set theory and information granulation methods. He has been involved in research based on application of Computational Intelligence in biomedical signal processing. Doctor Gacek has published numerous papers concerning biomedical instrumentation and signal processing.

User’s Review:

Meshing of material from engineering and clinical sources ensures comprehensive and appropriately balanced coverage

Application of the ideas in this book will allow instrumentation engineers to help clinicians to improve diagnosis based on electrocardiogramatic results

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Free Download ECG Signal Processing, Classification and Interpretation: A Comprehensive Framework of Computational Intelligence PDF

ECG Signal Processing, Classification and Interpretation: A Comprehensive Framework of Computational Intelligence PDF Free Download

Download ECG Signal Processing, Classification and Interpretation: A Comprehensive Framework of Computational Intelligence 2012 PDF Free

ECG Signal Processing, Classification and Interpretation: A Comprehensive Framework of Computational Intelligence 2012 PDF Free Download

Download ECG Signal Processing, Classification and Interpretation: A Comprehensive Framework of Computational Intelligence PDF