Biomedical Signal Processing (PDF)
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This book provides an interdisciplinary look at emerging trends in signal processing and biomedicine found at the intersection of healthcare, engineering, and computer science. It examines the vital role signal processing plays in enabling a new generation of technology based on big data, and looks at applications ranging from medical electronics to data mining of electronic medical records. Topics covered include analysis of medical images, machine learning, biomedical nanosensors, wireless technologies, and instrumentation and electrical stimulation. Biomedical Signal Processing: Innovation and Applications presents tutorials and examples of successful applications, and will appeal to a wide range of professionals, researchers, and students interested in applications of signal processing, medicine, and biology.
·Presents an interdisciplinary look at research trends in signal processing and biomedicine;
·Promotes collaboration between healthcare practitioners and signal processing researchers;
·Includes tutorials and examples of successful applications.
Ivan Selesnick, PhD, is a professor of Electrical and Computer Engineering at NYU Tandon School of Engineering. He received the BS, MEE,and PhD degrees in Electrical Engineering from Rice University, and joined Polytechnic University in 1997 (now NYU Tandon School of Engineering). He received an Alexander von Humboldt Fellowship in 1997 and a National Science Foundation Career award in 1999. In 2003, he received the Jacobs Excellence in Education Award from Polytechnic University. Dr. Selesnick's research interests are in signal and image processing, wavelet-based signal processing, sparsity techniques, and biomedical signal processing. He became an IEEE Fellow in 2016, and has been an associate editor for the IEEE Transactions on Image Processing, IEEE Signal Processing Letters, IEEE Transactions on Signal Processing, and IEEE Transactions on Computational Imaging.
Joseph Picone, PhD, is a professor of Electrical and Computer Engineering at Temple University, where he directs the Institute for Signal and Information Processing and is the Associate Director of the Neural Engineering Data Consortium. His primary expertise is in statistical modeling with
- 2021, 1st ed. 2021, 261 Seiten, Englisch
- Herausgegeben: Iyad Obeid, Ivan Selesnick, Joseph Picone
- Verlag: Springer International Publishing
- ISBN-10: 3030674940
- ISBN-13: 9783030674946
- Erscheinungsdatum: 12.04.2021
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- Größe: 9.95 MB
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