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Modelling and Analysis of Active Biopotential Signals in Healthcare, Volume 2
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Table of Contents

Preface
Acknowledgements
Editor biographies
Contributors
Chapter 1 - Classification of motor-imagery tasks from EEG Signals using the rational dilation wavelet transform
Chapter 2 - A deep learning framework for emotion recognition using improved time-frequency image analysis of electroencephalography signals
Chapter 3 - Multivariate phase synchrony based on fuzzy statistics: application to PTSD EEG signals
Chapter 4 - A study on the influence of meditation and music therapy on the vital parameters of the human body through EEG signal analysis: a review
Chapter 5 - Cross-wavelet transform aided focal and non-focal electroencephalography signal classification employing deep feature extractionChapter 6 - Local binary pattern based feature extraction and machine learning for epileptic seizure prediction and detectionChapter 7 - Increasing the usability of the Devanagari script input based P300 spellerChapter 8 - A comprehensive review of the fabrication and performance evaluation of dry electrodes for long-term ECG monitoringChapter 9 - Effective cardiac health diagnosis using event-driven ECG processing with subband feature extraction and machine learning techniquesChapter 10 - Analysis of heart patients using a tree based ensemble model
Chapter 11 - Heartbeat classification using parametric and time-frequency methodsChapter 12 - Segmentation of ECG waves using LSTM networks
Chapter 13 - Deep convolutional neural network based diagnosis of COVID-19 using x-ray imagesChapter 14 - Otitis media diagnosis model for tympanic membrane images processed in two-stage processing blocks
Chapter 15 - Modelling and analysis for active infrared thermography for breast cancer screeningChapter 16 - Photoacoustic microscopy: fundamentals, instrumentation and applicationsChapter 17 - Rigorous performance assessment of computer-aided medical diagnosis and prognosis systems: a biostatistical perspective on data mining

About the Author

Varun Bajaj is Subject Editor-in-Chief of IET Electronics Letters (SCI) on biomedical technology and has also authored more than 90 research papers in various reputed international journals/conferences including IEEE Transactions, Elsevier, Springer and IOP Publishing. The citation impact of his publications is around 1762 citations, with a h-index of 19, and i10 index of 39 (Google Scholar June 2020).

G R Sinha has published more than 200 research papers, edited four books on similar research areas to this book, and has authored key books on medical image processing and biometrics. He is Visiting Professor (honorary) at Sri Lanka Technological Campus Colombo. He is ACM Distinguished Speaker, IEEE Senior Member, Fellow of IETE and IEI, and has been an IEEE Distinguished Lecturer. He has more than 12 research and teaching based awards at international and national level to his credit.

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