東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back to Search results for [ null ]

Switch To: Labeled | MARC Mode | ISBD

Developments and applications for EC...

Madeiro, Joao Paulo do Vale,

Linked to FindBook

Google Book

Amazon

博客來

Developments and applications for ECG signal processing = modeling, segmentation, and pattern recognition /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Developments and applications for ECG signal processing/ edited by João Paulo do Vale Madeiro [and 3 others].
Reminder of title:	modeling, segmentation, and pattern recognition /
other author:	Madeiro, Joao Paulo do Vale,
Published:	London :Academic Press, an imprint of Elsevier, : 2019.,
Description:	1 online resource :ill.
Subject:	Electrocardiography - Data processing. -
Online resource:	https://www.sciencedirect.com/science/book/9780128140352
ISBN:	9780128140369 (electronic bk.)

Developments and applications for ECG signal processing = 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:

1565585
Electrocardiography
--Data processing.Index Terms--Genre/Form:

542853
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 = modeling, segmentation, and pattern recognition /
LDR:02030nmm a2200265 a 4500 001 2218127
006 m o d
007 cr cnu|unuuu||
008 201120s2019 enka ob 001 0 eng d
020 $a 9780128140369 (electronic bk.)
020 $a 0128140364 (electronic bk.)
020 $a 9780128140352
035 $a (OCoLC)1076873148
035 $a ELS20100043
040 $a N$T $b eng $c N$T $d N$T $d OPELS $d OCLCF $d UKMGB $d MERER $d OCLCQ $d YDX $d N$T
041 0 $a eng
050 4 $a RC683.5.E5
060 4 $a WG 140
082 0 4 $a 616.1207547 $2 23
245 0 0 $a Developments and applications for ECG signal processing $h [electronic resource] : $b modeling, segmentation, and pattern recognition / $c edited by João Paulo do Vale Madeiro [and 3 others].
260 $a London : $b Academic Press, an imprint of Elsevier, $c 2019.
300 $a 1 online resource : $b ill.
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).
650 0 $a Electrocardiography $x Data processing. $3 1565585
650 0 $a Signal processing $x Digital techniques. $3 624853
650 1 2 $a Electrocardiography $x methods. $3 867106
650 2 2 $a Signal Processing, Computer-Assisted. $3 925516
650 2 2 $a Models, Theoretical. $3 594123
650 2 2 $a Algorithms. $3 536374
655 4 $a Electronic books. $2 lcsh $3 542853
700 1 $a Madeiro, Joao Paulo do Vale, $e editor. $3 3451941
856 4 0 $u https://www.sciencedirect.com/science/book/9780128140352