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165514

Orthogonal Transforms for Electrocadiographic Data Compression: A Comparative Study.

Article

Last updated: 22 Jan 2023

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Subjects

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Tags

Electrical Engineering

Abstract

Discrete forms of the Fourier, sine, cosine, Hartley, Walsh, and Haar transforms are examined for their performance to compress the electrocardiographic (ECG) signals. To compare their effectiveness in accomplishing this goal, the percent RMS difference resulting for each transformation method at various compression ratios is computed for records of normal and abnormal cases. Based on this comparison, it is found that the Hartley transform is most advantageous for Compressing the ECG signal as it provides higher compression ratios and lower percent RMS differences compared to the other five transforms.
 

DOI

10.21608/bfemu.2021.165514

Authors

First Name

Fatma El-Zahraa

Last Name

Abou-Chadi

MiddleName

-

Affiliation

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

Email

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City

Mansoura

Orcid

-

Volume

18

Article Issue

3

Related Issue

24035

Issue Date

1993-09-01

Receive Date

1993-07-11

Publish Date

2021-04-20

Page Start

35

Page End

48

Print ISSN

1110-0923

Online ISSN

2735-4202

Article File

BFEMU_Volume 18_Issue 3_Pages 35-48.pdf

PDF . 705.5kB

Link

https://bfemu.journals.ekb.eg/article_165514.html

Detail API

https://bfemu.journals.ekb.eg/service?article_code=165514

Order

7

Type

Research Studies

Type Code

1,205

Publication Type

Journal

Publication Title

MEJ. Mansoura Engineering Journal

Publication Link

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

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Details

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Article

Created At

22 Jan 2023