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Biomedical Sensing and Analysis Signal Processing in Medicine and Biology

Title
Biomedical Sensing and Analysis [electronic resource] : Signal Processing in Medicine and Biology / edited by Iyad Obeid, Joseph Picone, Ivan Selesnick.
ISBN
9783030993832
Edition
1st ed. 2022.
Publication
Cham : Springer International Publishing : Imprint: Springer, 2022.
Physical Description
1 online resource (VII, 204 p.) 78 illus., 71 illus. in color.
Local Notes
Access is available to the Yale community.
Access and use
Access restricted by licensing agreement.
Summary
This book provides an interdisciplinary look at emerging trends in signal processing and biomedicine found at the intersection of healthcare, engineering, and computer science. Bringing together expanded versions of selected papers presented at the 2020 IEEE Signal Processing in Medicine and Biology Symposium (IEEE SPMB), 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 Sensing and Analysis: Signal Processing in Medicine and Biology 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.
Variant and related titles
Springer ENIN.
Other formats
Printed edition:
Printed edition:
Printed edition:
Format
Books / Online
Language
English
Added to Catalog
July 26, 2023
Contents
1. Restriction Synthesis and DNA Restriction Site Analysis Using Machine Learning
2.Human Detection and Biometric Authentication With Ambient Sensors
3. Generalization of Deep Acoustic and NLP Models for Large-Scale Depression Screening
4. TABS: Transformer Based Seizure Detection
5.Automated Pacing Artifact Removal from Electrocardiograms.
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