Biomedical Signal Processing: Advances in Theory, Algorithms and Applications

Front Cover
Ganesh Naik
Springer Nature, Nov 12, 2019 - Technology & Engineering - 432 pages

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.

 

What people are saying - Write a review

We haven't found any reviews in the usual places.

Contents

Surface Electromyography EMG Signal Processing Classification and Practical Considerations
3
Estimation of Ankle Joint Torque and Angle Based on SEMG Signal for Assistive Rehabilitation Robots
30
Force Myography and Its Application to Human Locomotion
49
Comparison of Independence of Triceps Brachii and Biceps Brachii Between Paretic and Nonparetic Side During Different MVCsA Case Study
71
BCI and EEG Signal Processing Applications
80
An EEG BrainComputer Interface to Classify Motor Imagery Signals
83
Using Artificial Neural Networks on Multichannel EEG Data to Detect the Effect of Binaural Stimuli in Resting State
99
Automated Detection of Seizure and Nonseizure EEG Signals Using Two Band Biorthogonal Wavelet Filter Banks
137
ECG and Cardiac Signal Processing Applications
201
Unipolar Cardiac Leads Between History and Science
202
Novel Methodology for Cardiac Arrhythmias Classification Based on LongDuration ECG Signal Fragments Analysis
225
Artificial IntelligenceEnabled ECG Big Data Mining for Pervasive Heart Health Monitoring
273
The Power of TensorBased Approaches in Cardiac Applications
291
Syntactic Methods for ECG Signal Diagnosis and QRS Complexes Recognition
325
Extraction of ECG Significant Features for Remote CVD Monitoring
356
Other Applications
387

Automated Identification of Epileptic Seizures from EEG Signals Using FBSEEWT Method
156
DWT Based Time Domain Features on Detection of Epilepsy Seizures from EEG Signal
181
An Accelerated Computational Approach in Proteomics
389
Copyright

Other editions - View all

Common terms and phrases

About the author (2019)

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.