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163733

Adaptive Enhacement of Ambulatory Electrocardiograms.

Article

Last updated: 04 Jan 2025

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Subjects

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Tags

Electrical Engineering

Abstract

Quality improvement of ambulatory electrocardiographic (ECG) signals is an important subject and crucial in computer aided diagnosis and monitoring. However, the poor quality of the signals necessitates signal enhancements. Hence, in this paper, three adaptive filter structures are presented to eliminate the diverse forms of noise. The performance of each technique 18 thoroughly investigated by simulated signals as well as signals obtained from human subjects. A two stage filter consisting of an adaptive noise cancellar and adaptive recurrent filter has been found to reduce efficiently the various types of noise while the characteristics of the relevant ECG signal is little affected. 

DOI

10.21608/bfemu.2021.163733

Authors

First Name

Fatma El-Zahraa

Last Name

Abou-Chadi

MiddleName

Mohamed Rashad

Affiliation

Electrical Communications Engineering Department., Faculty of Engineering., El-Mansoura University., Mansoura.,Egypt.

Email

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City

Mansoura

Orcid

-

Volume

19

Article Issue

4

Related Issue

23885

Issue Date

1994-12-01

Receive Date

1994-10-11

Publish Date

2021-12-01

Page Start

38

Page End

50

Print ISSN

1110-0923

Online ISSN

2735-4202

Article File

BFEMU_Volume 19_Issue 4_Pages 38-50.pdf

PDF . 559.8kB

Link

https://bfemu.journals.ekb.eg/article_163733.html

Detail API

https://bfemu.journals.ekb.eg/service?article_code=163733

Order

4

Type

Research Studies

Type Code

1,205

Publication Type

Journal

Publication Title

MEJ. Mansoura Engineering Journal

Publication Link

https://bfemu.journals.ekb.eg/

MainTitle

Adaptive Enhacement of Ambulatory Electrocardiograms.

Details

Type

Article

Created At

22 Jan 2023