Beta
24711

FEATURE EXTRACTION FROM MLAER SIGNALS AND VALIDATION DURING PROPOFOL ANAESTHRSIA

Article

Last updated: 04 Jan 2025

Subjects

-

Tags

-

Abstract

The depth of anaesthesia (DOA) is generally considered adequate if the patient neither moves in response to surgical stimulus nor shows any signs of autonomic reflexes. So the measuring of depth of anaesthesia is very important because it helps the anesthetist to monitor the anesthetic state of the patient from the start of giving the anaesthetic drugs up to the patient awakeness and helps him to control the required amounts of the anaesthetic drugs during the surgery. There is no direct method to judge the DOA. It seems logical that, since the brain is the primary site of action of anaesthetic agents, there should be some measure of anaesthetic effects on the brain. The brain electrical activity (Electroencephalogram (EEG) and evoked potentials (EP)) have been studied to develop quantitative monitors of DOA. Due to the large problems with the EEG monitoring, EP monitoring has been suggested as an alternative indicator of anaesthetic depth. The mid latency auditory evoked response (MLAER) was seemed to be the most promising measure of DOA, which is independent of the agent being used. The aim of this paper is to propose an approach to explore a reliable index reflecting the changes in amplitudes and latencies of MLAER waves, which are related to depth of anaesthesia

DOI

10.21608/asat.2013.24711

Keywords

Depth of Anaesthesia (DOA), Feature Extraction (FE), Evoked Potentials (EP), Mid Latency Auditory Evoked Response (MLAER), Central Nervous System (CNS), Signal to Noise ratio (S/N), Fast Fourier Transform (FFT), Auditory Evoked Response (AER), Propofol Concentration (PC), Digital Signal Processing (DSP), Averaged Phase of MLAER signal in S - domain (Ph), Averaged Magnitude of MLAER signal in S - domain (Mag)

Authors

First Name

M.

Last Name

Elkfafi

MiddleName

-

Affiliation

Egyptian Armed Forces.

Email

-

City

-

Orcid

-

First Name

M.

Last Name

Gadalla

MiddleName

-

Affiliation

Egyptian Armed Forces.

Email

-

City

-

Orcid

-

First Name

S.

Last Name

Alian

MiddleName

-

Affiliation

Egyptian Armed Forces.

Email

-

City

-

Orcid

-

First Name

T.

Last Name

Soliman

MiddleName

-

Affiliation

Egyptian Armed Forces.

Email

-

City

-

Orcid

-

Volume

10

Article Issue

10th International Conference On Aerospace Sciences & Aviation Technology

Related Issue

4497

Issue Date

2003-05-01

Receive Date

2019-01-15

Publish Date

2003-05-01

Page Start

923

Page End

929

Print ISSN

2090-0678

Online ISSN

2636-364X

Link

https://asat.journals.ekb.eg/article_24711.html

Detail API

https://asat.journals.ekb.eg/service?article_code=24711

Order

62

Type

Original Article

Type Code

737

Publication Type

Journal

Publication Title

International Conference on Aerospace Sciences and Aviation Technology

Publication Link

https://asat.journals.ekb.eg/

MainTitle

FEATURE EXTRACTION FROM MLAER SIGNALS AND VALIDATION DURING PROPOFOL ANAESTHRSIA

Details

Type

Article

Created At

22 Jan 2023