Modelling and Analysis of Active Biopotential Signals in Healthcare, Volume 2 (ePub)
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Biopotential signals are often used by physicians to measure the activities of organs and tissues in the human body. This book describes the sources and characteristics of different biopotential signals and provides an understanding of how a range of signals can be modelled and analysed. The resulting information can be used to assist in the identification of disorders such as epilepsy, schizophrenia, PTSD and heart disease, among others. An emphasis is placed on the real challenges in biopotential signal processing due to the complex and non-stationary nature of signals.
Following on from volume one, this book starts with a collection of chapters covering some of the latest developments in electroencephalography (EEG) signal analysis, then moves on to applications of electrocardiography (ECG) and otoscope signals. The volume concludes with a discussion of other monitoring techniques. The chapters include biomedical examples and discussions of how each method can be used to study human organs. 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.
Key Features
- Modelling and acquisition of biomedical signals for different disorders
- Implementation of methodologies and their impact on different cases
- Case studies and research directions
- Design and simulation examples
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.
- 2020, 375 Seiten, Englisch
- Herausgegeben: Varun Bajaj, G R Sinha
- Verlag: Institute of Physics Publishing
- ISBN-10: 0750334118
- ISBN-13: 9780750334112
- Erscheinungsdatum: 11.12.2020
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- Dateiformat: ePub
- Größe: 18 MB
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