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Developments and applications for ECG signal processing[electronic resource] :modeling, segmentation, and pattern recognition /

紀錄類型:	書目-電子資源 : Monograph/item
杜威分類號:	616.1207547
書名/作者:	Developments and applications for ECG signal processing : modeling, segmentation, and pattern recognition // edited by João Paulo do Vale Madeiro [and 3 others].
其他作者:	Madeiro, Joao Paulo do Vale,
出版者:	London : : Academic Press, an imprint of Elsevier,, 2019.
面頁冊數:	1 online resource : : ill.
標題:	Electrocardiography - Data processing.
標題:	Signal processing - Digital techniques.
標題:	Electrocardiography - methods.
標題:	Signal Processing, Computer-Assisted.
標題:	Models, Theoretical.
標題:	Algorithms.
ISBN:	9780128140369 (electronic bk.)
ISBN:	0128140364 (electronic bk.)
ISBN:	9780128140352
書目註:	Includes bibliographical references and index.
摘要、提要註:	Developments and Applications for ECG Signal Processing: Modeling, Segmentation, and Pattern Recognition covers reliable techniques for ECG signal processing and their potential to significantly increase the applicability of ECG use in diagnosis. This book details a wide range of challenges in the processes of acquisition, preprocessing, segmentation, mathematical modelling and pattern recognition in ECG signals, presenting practical and robust solutions based on digital signal processing techniques. Users will find this to be a comprehensive resource that contributes to research on the automatic analysis of ECG signals and extends resources relating to rapid and accurate diagnoses, particularly for long-term signals. Chapters cover classical and modern features surrounding f ECG signals, ECG signal acquisition systems, techniques for noise suppression for ECG signal processing, a delineation of the QRS complex, mathematical modelling of T- and P-waves, and the automatic classification of heartbeats.
電子資源:	https://www.sciencedirect.com/science/book/9780128140352

Developments and applications for ECG signal processing[electronic resource] :modeling, segmentation, and pattern recognition /
Developments and applications for ECG signal processingmodeling, segmentation, and pattern recognition /[electronic resource] :edited by João Paulo do Vale Madeiro [and 3 others]. - London :Academic Press, an imprint of Elsevier,2019. - 1 online resource :ill.

Includes bibliographical references and index.

Developments and Applications for ECG Signal Processing: Modeling, Segmentation, and Pattern Recognition covers reliable techniques for ECG signal processing and their potential to significantly increase the applicability of ECG use in diagnosis. This book details a wide range of challenges in the processes of acquisition, preprocessing, segmentation, mathematical modelling and pattern recognition in ECG signals, presenting practical and robust solutions based on digital signal processing techniques. Users will find this to be a comprehensive resource that contributes to research on the automatic analysis of ECG signals and extends resources relating to rapid and accurate diagnoses, particularly for long-term signals. Chapters cover classical and modern features surrounding f ECG signals, ECG signal acquisition systems, techniques for noise suppression for ECG signal processing, a delineation of the QRS complex, mathematical modelling of T- and P-waves, and the automatic classification of heartbeats.

ISBN: 9780128140369 (electronic bk.)Subjects--Topical Terms:

463961
Electrocardiography
--Data processing.Index Terms--Genre/Form:

336502
Electronic books.

LC Class. No.: RC683.5.E5

Dewey Class. No.: 616.1207547

National Library of Medicine Call No.: WG 140

Developments and applications for ECG signal processing[electronic resource] :modeling, segmentation, and pattern recognition /
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504 $a Includes bibliographical references and index.
520 $a Developments and Applications for ECG Signal Processing: Modeling, Segmentation, and Pattern Recognition covers reliable techniques for ECG signal processing and their potential to significantly increase the applicability of ECG use in diagnosis. This book details a wide range of challenges in the processes of acquisition, preprocessing, segmentation, mathematical modelling and pattern recognition in ECG signals, presenting practical and robust solutions based on digital signal processing techniques. Users will find this to be a comprehensive resource that contributes to research on the automatic analysis of ECG signals and extends resources relating to rapid and accurate diagnoses, particularly for long-term signals. Chapters cover classical and modern features surrounding f ECG signals, ECG signal acquisition systems, techniques for noise suppression for ECG signal processing, a delineation of the QRS complex, mathematical modelling of T- and P-waves, and the automatic classification of heartbeats.
588 0 $a Online resource; title from PDF title page (EBSCO, Dec. 4, 2018).
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