Open AccessQuantifying Conventional Electroencephalogram Recordings and Examining its Output Computation with a Quantitative Electroencephalogram
Author(s) -
Gregory Xavier,
Anselm Su Ting,
Norsiah Fauzan
Publication year - 2021
Publication title -
journal of cognitive sciences and human development
Language(s) - English
Resource type - Journals
eISSN - 2550-1623
pISSN - 2462-1153
DOI - 10.33736/jcshd.3656.2021
Subject(s) - electroencephalography , clearance , computer science , statistical analysis , quantitative analysis (chemistry) , pattern recognition (psychology) , artificial intelligence , speech recognition , psychology , neuroscience , statistics , medicine , mathematics , urology , chemistry , chromatography
Quantitative electroencephalogram enables mathematical analysis of neurological recordings while conventional electroencephalogram lacks the mathematical output; hence, its usage is limited to neurological experts. This study was to determine if quantified conventional electroencephalogram recordings were compatible and comparable with quantitative electroencephalogram recordings. A group of post-call doctors was recruited and subjected to an EEG recording using a conventional electroencephalogram followed by a quantitative electroencephalogram device. The patterns and quantified recording results were compared. A comparative analysis of the two recording sets did not find differences in the recording patterns and statistical analysis. The findings promoted the use of a readily available conventional electroencephalogram in quantitative brain wave studies and have cleared potential compatibility bias towards data merging.