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  • © 2020

Biomedical Signal Processing

Advances in Theory, Algorithms and Applications

Editors:

  • Covers cutting-edge topics in biomedical signal analysis, highlighting open problems concerning clinical applications
  • Presents both theory and applications with examples
  • Offers an in-depth analysis of biomedical signal processing topics
  • Discusses cutting-edge aspects of biomedical signals and provides comprehensive information on the core principles of various biomedical signal applications

Part of the book series: Series in BioEngineering (SERBIOENG)

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Table of contents (16 chapters)

  1. Front Matter

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

    1. Front Matter

      Pages 1-1
    2. Estimation of Ankle Joint Torque and Angle Based on S-EMG Signal for Assistive Rehabilitation Robots

      • Palayil Baby Jephil, Paras Acharaya, Lian Xu, Kairui Guo, Hairong Yu, Mark Watsford et al.
      Pages 31-47
    3. Force Myography and Its Application to Human Locomotion

      • 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. An EEG Brain-Computer Interface to Classify Motor Imagery Signals

      • Maria Karoline Andrade, Maí­ra Araújo de Santana, Giselle Moreno, Igor Oliveira, Jhonnatan Santos, Marcelo Cairrão Araújo Rodrigues et al.
      Pages 83-98
    3. Using Artificial Neural Networks on Multi-channel EEG Data to Detect the Effect of Binaural Stimuli in Resting State

      • 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. Automated Detection of Seizure and Nonseizure EEG Signals Using Two Band Biorthogonal Wavelet Filter Banks

      • Dinesh Bhati, Ram Bilas Pachori, Manish Sharma, Vikram M. Gadre
      Pages 137-155
    5. Automated Identification of Epileptic Seizures from EEG Signals Using FBSE-EWT Method

      • Vipin Gupta, Abhijit Bhattacharyya, Ram Bilas Pachori
      Pages 157-179
  4. ECG and Cardiac Signal Processing Applications

    1. Front Matter

      Pages 201-201
    2. Unipolar Cardiac Leads Between History and Science

      • Hossein Moeinzadeh, Joseph Assad, Paolo Bifulco, Mario Cesarelli, Alistair L. McEwan, Aiden O’Loughlin et al.
      Pages 203-224
    3. The Power of Tensor-Based Approaches in Cardiac Applications

      • Sibasankar Padhy, Griet Goovaerts, Martijn Boussé, Lieven De Lathauwer, Sabine Van Huffel
      Pages 291-323
    4. Syntactic Methods for ECG Signal Diagnosis and QRS Complexes Recognition

      • Salah Hamdi, Asma Ben Abdallah, Mohamed Hedi Bedoui
      Pages 325-355
  5. Other Applications

    1. Front Matter

      Pages 387-387

About this book

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. 

Editors and Affiliations

  • MARCS Institute, Western Sydney University, Penrith, Australia

    Ganesh Naik

About the editor

Ganesh Naik received his BE in Electronics and Communication Engineering from the University of Mysore, India, in 1997, his ME in Communication and Information Engineering from Griffith University, Brisbane, Australia, in 2002, and his PhD in Electronics Engineering, specializing in Biomedical Engineering and Signal Processing, from RMIT University, Melbourne, Australia, in 2009.

He is currently an academic and postdoctoral research fellow at MARCS Institute, Western Sydney University. Prior to that he held a Chancellor’s Post-Doctoral Research Fellowship position at the Faculty of Engineering and Information Technology (FEIT), UTS. To date he has edited 11 books, and authored more than 100 book chapters and articles in peer-reviewed journals and conference proceedings. His research interests include EMG signal processing, pattern recognition, Blind Source Separation (BSS) techniques, biomedical signal processing, Human–Computer Interface (HCI) and audio signal processing.

At present, he is serving as an associate editor of IEEE ACCESS and two Springer journals. He is also a reviewer and member of the editorial board for several reputed journals. He was a recipient of the Baden–Württemberg Scholarship from the University of Berufsakademie, Stuttgart, Germany (2006–2007). In 2010, Dr Naik was awarded an ISSI overseas fellowship by the Skilled Institute in Victoria, Australia.


Bibliographic Information

Buy it now

Buying options

eBook USD 139.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 179.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book USD 179.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access