Evolution of electroencephalogram signal analysis techniques during anesthesia

Mahmoud I. Al-Kadi, Md. Mamun Ibne Reaz, Mohd Alauddin Mohd Ali

Research output: Contribution to journalArticle

24 Citations (Scopus)

Abstract

Biosignal analysis is one of the most important topics that researchers have tried to develop during the last century to understand numerous human diseases. Electroencephalograms (EEGs) are one of the techniques which provides an electrical representation of biosignals that reflect changes in the activity of the human brain. Monitoring the levels of anesthesia is a very important subject, which has been proposed to avoid both patient awareness caused by inadequate dosage of anesthetic drugs and excessive use of anesthesia during surgery. This article reviews the bases of these techniques and their development within the last decades and provides a synopsis of the relevant methodologies and algorithms that are used to analyze EEG signals. In addition, it aims to present some of the physiological background of the EEG signal, developments in EEG signal processing, and the effective methods used to remove various types of noise. This review will hopefully increase efforts to develop methods that use EEG signals for determining and classifying the depth of anesthesia with a high data rate to produce a flexible and reliable detection device.

Original languageEnglish
Pages (from-to)6605-6635
Number of pages31
JournalSensors (Switzerland)
Volume13
Issue number5
DOIs
Publication statusPublished - May 2013

Fingerprint

anesthesia
electroencephalography
signal analysis
Signal analysis
Electroencephalography
Anesthesia
anesthetics
Anesthetics
classifying
Human Activities
surgery
Surgery
brain
Noise
signal processing
Brain
Signal processing
drugs
Research Personnel
methodology

Keywords

  • Anesthesia
  • Classification
  • Detection
  • Electroencephalogram (EEG)
  • Features
  • Signal processing

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Atomic and Molecular Physics, and Optics
  • Analytical Chemistry
  • Biochemistry

Cite this

Evolution of electroencephalogram signal analysis techniques during anesthesia. / Al-Kadi, Mahmoud I.; Ibne Reaz, Md. Mamun; Mohd Ali, Mohd Alauddin.

In: Sensors (Switzerland), Vol. 13, No. 5, 05.2013, p. 6605-6635.

Research output: Contribution to journalArticle

Al-Kadi, Mahmoud I. ; Ibne Reaz, Md. Mamun ; Mohd Ali, Mohd Alauddin. / Evolution of electroencephalogram signal analysis techniques during anesthesia. In: Sensors (Switzerland). 2013 ; Vol. 13, No. 5. pp. 6605-6635.
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