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188682

An Adaptive QRS Detection Algorithm with Variable Threshold.

Article

Last updated: 04 Jan 2025

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Subjects

-

Tags

Electronics and Communications Engineering

Abstract

Ambulatory electrocardiogram ( ECG ) recordings from patients undergoing severe physical stress are corrupted by large muscle artifacts ( EMG ) and other noise sources, such as baseline drifts and currents induced by motion artifacts and electromechanical devices. A simple real-time algorithm has been developed which is suitable for on-line detection of the QRS complexes. The algorithm calculates several statistical parameters of the ECG signal which are used to adapt the threshold to baseline changes in the signal, thereby increasing detection sensitivity.

DOI

10.21608/bfemu.2021.188682

Authors

First Name

Fatma

Last Name

Abou-Chadi

MiddleName

E.Z.

Affiliation

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

Email

-

City

Mansoura

Orcid

-

First Name

Manal

Last Name

Saleh

MiddleName

M.I.

Affiliation

Mansoura Electronic Exchange.

Email

-

City

Mansoura

Orcid

-

Volume

17

Article Issue

4

Related Issue

24373

Issue Date

1992-12-01

Receive Date

1992-10-10

Publish Date

2021-12-01

Page Start

1

Page End

12

Print ISSN

1110-0923

Online ISSN

2735-4202

Article File

BFEMU_Volume 17_Issue 4_Pages 1-12.pdf

PDF . 87.2kB

Link

https://bfemu.journals.ekb.eg/article_188682.html

Detail API

https://bfemu.journals.ekb.eg/service?article_code=188682

Order

3

Type

Research Studies

Type Code

1,205

Publication Type

Journal

Publication Title

MEJ. Mansoura Engineering Journal

Publication Link

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

MainTitle

An Adaptive QRS Detection Algorithm with Variable Threshold.

Details

Type

Article

Created At

22 Jan 2023