Role of EEG as biomarker in the early detection and classification of dementia

Noor Kamal Al-Qazzaz, Sawal Hamid Md Ali, Siti Anom Ahmad, Kalaivani Chell, Md. Shabiul Islam, Javier Escudero

Research output: Contribution to journalArticle

44 Citations (Scopus)

Abstract

The early detection and classification of dementia are important clinical support tasks for medical practitioners in customizing patient treatment programs to better manage the development and progression of these diseases. Efforts are being made to diagnose these neurodegenerative disorders in the early stages. Indeed, early diagnosis helps patients to obtain the maximum treatment benefit before significant mental decline occurs. The use of electroencephalogram as a tool for the detection of changes in brain activities and clinical diagnosis is becoming increasingly popular for its capabilities in quantifying changes in brain degeneration in dementia. This paper reviews the role of electroencephalogram as a biomarker based on signal processing to detect dementia in early stages and classify its severity. The review starts with a discussion of dementia types and cognitive spectrum followed by the presentation of the effective preprocessing denoising to eliminate possible artifacts. It continues with a description of feature extraction by using linear and nonlinear techniques, and it ends with a brief explanation of vast variety of separation techniques to classify EEG signals. This paper also provides an idea from the most popular studies that may help in diagnosing dementia in early stages and classifying through electroencephalogram signal processing and analysis.

Original languageEnglish
Article number906038
JournalScientific World Journal
Volume2014
DOIs
Publication statusPublished - 2014

Fingerprint

signal processing
Biomarkers
Electroencephalography
Dementia
biomarker
brain
artifact
Brain
Signal processing
Patient treatment
Signal analysis
Feature extraction
Neurodegenerative Diseases
Artifacts
Disease Progression
Early Diagnosis
detection
Therapeutics
analysis
programme

ASJC Scopus subject areas

  • Biochemistry, Genetics and Molecular Biology(all)
  • Environmental Science(all)
  • Medicine(all)

Cite this

Role of EEG as biomarker in the early detection and classification of dementia. / Al-Qazzaz, Noor Kamal; Md Ali, Sawal Hamid; Ahmad, Siti Anom; Chell, Kalaivani; Islam, Md. Shabiul; Escudero, Javier.

In: Scientific World Journal, Vol. 2014, 906038, 2014.

Research output: Contribution to journalArticle

Al-Qazzaz, Noor Kamal ; Md Ali, Sawal Hamid ; Ahmad, Siti Anom ; Chell, Kalaivani ; Islam, Md. Shabiul ; Escudero, Javier. / Role of EEG as biomarker in the early detection and classification of dementia. In: Scientific World Journal. 2014 ; Vol. 2014.
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