Overview
- Contains detailed information on ECG signal and various noises that corrupt an ECG signal
- Includes step by step details to design various filters in MATLAB
- Introduces wavelets and selection criteria of a wavelet to analyze ECG signal
Part of the book series: Energy Systems in Electrical Engineering (ESIEE)
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Table of contents (8 chapters)
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Front Matter
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Back Matter
Keywords
About this book
Authors and Affiliations
About the authors
Ashish Kumar received the B.Tech. degree in Electronics and Communication Engineering from Kurukshetra University, India, in 2012, the M. Tech degree in VLSI Design from Galgotias University, Uttar Pradesh, India, in 2015, and the Ph.D. degree from the Department of Electronics and Communication Engineering, Bennett University, Greater Noida, India, in 2020. Since 2020, he has been an Assistant Professor in the School of Electronics Engineering, Vellore Institute of Technology, Chennai, India. He authored many research articles in reputed international journals and conferences. His research interests include biomedical systems design, signal analysis, healthcare assistive techniques, and low-power biomedical system design.
Rama Komaragiri received a Ph.D. from the Department of Electrical Engineering and Information Technology, TU Darmstadt, Germany, in 2006. From 2006 to 2009, he worked as a System Expert at Qimonda Technologies GmbH, Dresden, Germany. From 2009 to2016, he was with the Department of Electronics and Communication Engineering, NIT Calicut, where he has been an Associate Professor since 2012. Since 2016, he has been a Professor and Head of the Department of Electronics and Communication Engineering at Bennett University, India. His research interests include biomedical systems, MEMS/NEMS sensors, semiconductor device modeling and simulation, and low-power CMOS VLSI circuit design.Manjeet Kumar received a B.Tech degree in Electronics and Telecommunication Engineering from Kurukshetra University, Kurukshetra, India, in 2008, an M.Tech degree in Signal Processing from Guru Gobind Singh Indraprastha University, Delhi, India, in 2011, and a Ph.D. degree from the Department of Electronics and Communication Engineering, Netaji Subhas Institute of Technology (NSIT) Delhi, affiliated to University of Delhi, India, in 2017. He served as Assistant Professor in the Department of Electronics and Communication Engineering, Bennett University, Greater Noida, from June 2016 to July 2020. From July 2020, he is working as Assistant Professor in the Electronics and Communication Engineering department at Delhi Technological University, Delhi. He has authored over thirty-five research articles and twenty conference papers in reputed international journals and conferences. He also served as a reviewer in many International Journals. His research interests include Signal Processing, Biomedical Signal Processing, the Internet of Medical Things, Image Processing, Fractional Systems, Optimization Algorithms, and Artificial Intelligence in Healthcare. He was awarded the "Commendable Research Award'' in 2021 by Delhi Technological University, Delhi, India. His last five-year citations are 1071 with h-index 21 and i-10-index 33.
Bibliographic Information
Book Title: High Performance and Power Efficient Electrocardiogram Detectors
Authors: Ashish Kumar, Manjeet Kumar, Rama S. Komaragiri
Series Title: Energy Systems in Electrical Engineering
DOI: https://doi.org/10.1007/978-981-19-5303-3
Publisher: Springer Singapore
eBook Packages: Engineering, Engineering (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2023
Hardcover ISBN: 978-981-19-5302-6Published: 11 October 2022
Softcover ISBN: 978-981-19-5305-7Published: 11 October 2023
eBook ISBN: 978-981-19-5303-3Published: 10 October 2022
Series ISSN: 2199-8582
Series E-ISSN: 2199-8590
Edition Number: 1
Number of Pages: XVIII, 193
Number of Illustrations: 55 b/w illustrations, 38 illustrations in colour
Topics: Circuits and Systems, Biomedical Engineering and Bioengineering, Signal, Image and Speech Processing