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Biomedical sensing and analysis = si...

Obeid, Iyad.

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Biomedical sensing and analysis = signal processing in medicine and biology /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Biomedical sensing and analysis/ edited by Iyad Obeid, Joseph Picone, Ivan Selesnick.
其他題名:	signal processing in medicine and biology /
其他作者:	Obeid, Iyad.
出版者:	Cham :Springer International Publishing : : 2022.,
面頁冊數:	vii, 204 p. :ill. (chiefly color), digital ;24 cm.
內容註:	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.
Contained By:	Springer Nature eBook
標題:	Signal processing. -
電子資源:	https://doi.org/10.1007/978-3-030-99383-2
ISBN:	9783030993832

Biomedical sensing and analysis = signal 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

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

533904
Signal processing.

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

Dewey Class. No.: 621.3822

Biomedical sensing and analysis = signal processing in medicine and biology /
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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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