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Biomedical sensing and analysissignal processing in medicine and biology /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Biomedical sensing and analysisedited by Iyad Obeid, Joseph Picone, Ivan Selesnick.
Reminder of title:	signal processing in medicine and biology /
other author:	Obeid, Iyad.
Published:	Cham :Springer International Publishing :2022.
Description:	vii, 204 p. :ill. (chiefly color), digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Signal processing.
Online resource:	https://doi.org/10.1007/978-3-030-99383-2
ISBN:	9783030993832$q(electronic bk.)

Biomedical sensing and analysissignal processing in medicine and biology /
Biomedical sensing and analysissignal processing in medicine and biology /[electronic resource] :edited by Iyad Obeid, Joseph Picone, Ivan Selesnick. - Cham :Springer International Publishing :2022. - vii, 204 p. :ill. (chiefly color), digital ;24 cm.

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.

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.

ISBN: 9783030993832$q(electronic bk.)

Standard No.: 10.1007/978-3-030-99383-2doiSubjects--Topical Terms:

182382
Signal processing.

LC Class. No.: TK5102.9 / .B56 2022

Dewey Class. No.: 621.3822

Biomedical sensing and analysissignal processing in medicine and biology /
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505 0 $a 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.
520 $a 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.
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700 1 $a Obeid, Iyad. $3 859763
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