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Biomedical Signal Processing

Advances in Theory, Algorithms and Applications

  • Ganesh Naik
Book

Part of the Series in BioEngineering book series (SERBIOENG)

Table of contents

  1. Front Matter
    Pages i-x
  2. Myoelectric Signal Processing and Human Locomotion

    1. Front Matter
      Pages 1-1
    2. Palayil Baby Jephil, Paras Acharaya, Lian Xu, Kairui Guo, Hairong Yu, Mark Watsford et al.
      Pages 31-47
    3. Anoop Kant Godiyal, Vinay Verma, Nitin Khanna, Deepak Joshi
      Pages 49-70
  3. BCI and EEG Signal Processing Applications

    1. Front Matter
      Pages 81-81
    2. Maria Karoline Andrade, Maí­ra Araújo de Santana, Giselle Moreno, Igor Oliveira, Jhonnatan Santos, Marcelo Cairrão Araújo Rodrigues et al.
      Pages 83-98
    3. Maurício da Silva Júnior, Rafaela Covello de Freitas, Washington Wagner Azevedo da Silva, Marcelo Cairrão Araújo Rodrigues, Erick Francisco Quintas Conde, Wellington Pinheiro dos Santos
      Pages 99-136
    4. Dinesh Bhati, Ram Bilas Pachori, Manish Sharma, Vikram M. Gadre
      Pages 137-155
    5. Vipin Gupta, Abhijit Bhattacharyya, Ram Bilas Pachori
      Pages 157-179
  4. ECG and Cardiac Signal Processing Applications

    1. Front Matter
      Pages 201-201
    2. Hossein Moeinzadeh, Joseph Assad, Paolo Bifulco, Mario Cesarelli, Alistair L. McEwan, Aiden O’Loughlin et al.
      Pages 203-224
    3. Sibasankar Padhy, Griet Goovaerts, Martijn Boussé, Lieven De Lathauwer, Sabine Van Huffel
      Pages 291-323
    4. Salah Hamdi, Asma Ben Abdallah, Mohamed Hedi Bedoui
      Pages 325-355
  5. Other Applications

    1. Front Matter
      Pages 387-387
    2. Swati Bhardwaj, Venkateshwarlu Yellaswamy Gudur, Amit Acharyya
      Pages 389-432

About this book

Introduction

This book reports on the latest advances in the study of biomedical signal processing, and discusses in detail a number of open problems concerning clinical, biomedical and neural signals. It methodically collects and presents in a unified form the research findings previously scattered throughout various scientific journals and conference proceedings. In addition, the chapters are self-contained and can be read independently. Accordingly, the book will be of interest to university researchers, R&D engineers and graduate students who wish to learn the core principles of biomedical signal analysis, algorithms, and applications, while also offering a valuable reference work for biomedical engineers and clinicians who wish to learn more about the theory and recent applications of neural engineering and biomedical signal processing. 

Keywords

Biomedical Signal Processing EEG Signal Processing EMG Signal Processing ECG Signal Processing Respiratory Signal Analysis Biomedical Signal Preprocessing Time-frequency Signal Pattern Recognition

Editors and affiliations

  • Ganesh Naik
    • 1
  1. 1.MARCS InstituteWestern Sydney UniversityPenrithAustralia

Bibliographic information

  • DOI https://doi.org/10.1007/978-981-13-9097-5
  • Copyright Information Springer Nature Singapore Pte Ltd. 2020
  • Publisher Name Springer, Singapore
  • eBook Packages Engineering Engineering (R0)
  • Print ISBN 978-981-13-9096-8
  • Online ISBN 978-981-13-9097-5
  • Series Print ISSN 2196-8861
  • Series Online ISSN 2196-887X
  • Buy this book on publisher's site