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Modelling and analysis of active biopotential signals in healthcare.

Institute of Physics (Great Britain), - Personal Name; Sinha, G. R., - Personal Name; Bajaj, Varun, - Personal Name;

"Version: 20200801"--Title page verso.Includes bibliographical references.1. Classification of schizophrenia patients through empirical wavelet transformation using electroencephalogram signals / Smith K. Khare, Varun Bajaj, Siuly Siuly and G.R. Sinha -- 2. Fuzzy scale invariant feature transform phase locking value and its application to PTSD EEG data / Zahra Ghanbari and Mohammad H. Moradi -- 3. Weighted complex network based framework for epilepsy detection from EEG signals / Supriya Supriya, Siuly Siuly, Hua Wang and Yanchun Zhang -- 4. Epileptic seizure prediction and onset zone localization using intracranial and scalp electroencephalographic and magnetoencephalographic signals / Hamid Reza Marateb, Carolina Migliorelli, Alejandro Bachiller, Tayebe Azimi, Farzad Ziaie Nezhad, Marjan Mansourian, Joan Francesc Alonso, Javier Aparicio, Maria Victoria San Antonio-Arce, Sergio Romero and Miguel ?Angel Ma?ananas -- 5. Automatic drowsiness detection based on variational non-linear chirp mode decomposition using electroencephalogram signals / Smith K. Khare, Varun Bajaj and G.R. Sinha -- 6. Noise removal and classification of EEG signals using the Fourier decomposition method / Virender Kumar Mehla, Ashish Kumar, Amit Singhal and Pushpendra Singh -- 7. Reliable and accurate information extraction from surface electromyographic signals / Hamid Reza Marateb, Mislav Jordanic, Monica Rojas-Mart?inez, Joan Francesc Alonso, Leidy Yanet Serna, Mehdi Shirzadi, Marjan Nosouhi, Miguel ?Angel Ma?ananas and Kevin C. McGill -- 8. Classification of physical actions from surface EMG signals using the wavelet packet transform and local binary patterns / ?Omer F. Al?cin, ?Umit Budak, Muzaffer Aslan, Yaman Akbulut, Zafer C?omert, Muhammed H. Akp?nar and Abdulkadir ?Seng?ur -- 9. Empirical wavelet transform based classification of surface electromyogram signals for hand movements / Anurag Nishad and Abhay Upadhyay -- 10. Analysis of the muscular activity pattern of recurring physical action / Ajay Somkuwar and Vandana Somkuwar -- 11. Cloud-based cardiac health monitoring using event-driven ECG processing and ensemble classification techniques / Saeed M. Qaisar and Abdulhamit Subasi -- 12. Electrocardiogram beat classification using deep convolutional neural network techniques / Zafer C?omert, Yaman Akbulut, Muhammed H. Akpinar, ?Omer F. Al?cin, ?Umit Budak, Muzaffer Aslan and Abdulkadir ?Seng?ur -- 13. ECG signal watermarking to enhance the security of telecardiology / Siddharth Bhalerao, Irshad A. Ansari and Anil Kumar -- 14. Statistical measures and analysis in electrocardiogram (ECG) signal processing / Ranjeet Kumar -- 15. The impact of regional atrophy on Alzheimer's disease and its identification using 3D texture analysis / Shiwangi Mishra and Pritee Khanna.This book looks at analysis and modelling of active biopotential signal processing. It emphasises the real-time challenges in biomedical signal processing that occur due to the complex and non-stationary nature of signals in a variety of applications for analysis, classification and identification of different states for improvement of healthcare systems. The main focus of the book is on modelling; acquisition of biomedical signals for different disorders; implementation of methodologies and their impact on different cases; case studies and research directions; automatic identification of related disorders; design and simulation examples; and issues and challenges. Overall, the book addresses the real-time challenges in biomedical signal processing used in a variety of applications such as analysis, classification and identification of different disorders in healthcare systems. It is a valuable guide for all researchers and practitioners who are engaged in studies and research in the area of biomedical signals and their applications. Part of IPEM-IOP Series in Physics and Engineering in Medicine and Biology.Also available in print.Mode of access: World Wide Web.System requirements: Adobe Acrobat Reader, EPUB reader, or Kindle reader.Dr. Varun Bajaj is Subject Editor-in-Chief of IET Electronics Letters (SCI) on biomedical technology and 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, h-index of 19, and i10 index of 39 (Google Scholar June 2020). Dr. G.R. Sinha has published more than 200 research papers; edited four books on similar research areas to this book, and authored key books on medical image processing and biometrics. He is Visiting Professor (honorary) in Sri Lanka Technological Campus Colombo. He is ACM Distinguished Speaker, IEEE Senior Member, Fellow of IETE & IEI and has been IEEE Distinguished Lecturer. He has more than 12 research and teaching based awards at International and National level into his credit.Title from PDF title page (viewed on September 3, 2020).


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Detail Information
Series Title
-
Call Number
-
Publisher
: .,
Collation
1 online resource (various pagings) :illustrations (some color).
Language
English
ISBN/ISSN
9780750332798
Classification
610.28
Content Type
-
Media Type
-
Carrier Type
-
Edition
-
Subject(s)
Biomedical engineering.
TECHNOLOGY & ENGINEERING / Biomedical.
Signal processing.
Electrodiagnosis
Signal Processing, Computer-Assisted.
Biomedical Engineering
Specific Detail Info
-
Statement of Responsibility
edited by Varun Bajaj, G.R. Sinha.
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