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163708

Waveform Estimation Techniques for Event-Related Bioelectric Signals: A Comparative Study of Performance.

Article

Last updated: 22 Jan 2023

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Subjects

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Tags

Electronics and Communications Engineering

Abstract

 Many bioelectric signals result from the electrical response of physiological system to an impulse that can be internal (ECG signals) or external levoked potentials). A comparative study of performance of seven waveiorm estimation techniques used for event-related signals that are time-locked to a stimulus is presented in this paper Computer generated signals and noise for several signal-to-noise ratios (SNR's) are used to make ensembles of simulated noisy waveforms. The performance of each technique is numerically investigated using the root-mean-squared error and two well known SNR estimators. The results show that an adaptive impulse correlated filter (AICF) performs the best. It is capable to estimate the deterministic component of the signal and removes the noise uncorrelated with stimulus even if this noise is coloured. 

DOI

10.21608/bfemu.2021.163708

Authors

First Name

Fatma El-Zahraa

Last Name

Abou-Chadi

MiddleName

Mohamed Rashad

Affiliation

Electronics and 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

1

Page End

15

Print ISSN

1110-0923

Online ISSN

2735-4202

Article File

BFEMU_Volume 19_Issue 4_Pages 1-15.pdf

PDF . 725.5kB

Link

https://bfemu.journals.ekb.eg/article_163708.html

Detail API

https://bfemu.journals.ekb.eg/service?article_code=163708

Order

1

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

Type

Article

Created At

22 Jan 2023