Online ISSN: 2515-8260

Keywords : Electroencephalography


Kenia Izzawa, PutriIrsalina, Abdulloh Machin KurniaKusumastuti2,3, WardahRahmatul Islamiyah 2,3,4, Ersifa Fatimah

European Journal of Molecular & Clinical Medicine, 2021, Volume 8, Issue 3, Pages 4679-4684

Background: Brain dysfunction is associated with increased mortality in high care unit. Brain dysfunction due to convulsive seizures, nonconvulsive seizures or ischemia, may be difficult to identify by neurological examination. EEG examination can identify brain dysfunction.The aim of this study is to describe the most EEG pattern in critical ill patient with decreased level of consciousness at high care unit
Methods: This is a retrospective study. All patients who were treated in the high care unit and underwent an EEG examination in January-December 2019 was conducted in this study. The outcome of this study such as the sociodemographic patient characteristics (like age, sex and history of seizure during treatment in high care unit, past medical history of seizure), etiology diagnosis and EEG pattern. All data were analyzed using SPSS 25.
Conclusion:Continous Slow Activity (CSA) was most commonly abnormal EEG features in critical ill patient with decreased level of consciousness at high care unit.

Real-time Measurement of Integrated Multichannel EEG-ECVT in Pre-Frontal Lobe

Muhammad Fathul Ihsan; Rizki Edmi Edison; Sra Harke Pratama; Almushfi Saputra; Rohmadi .; Warsito Purwo Taruno

European Journal of Molecular & Clinical Medicine, 2020, Volume 7, Issue 10, Pages 1343-1350

Brain Electrical Capacitance Volume Tomography (ECVT) has been developed as an emerging non-invasive brain imaging method. As a new method, Brain ECVT needs to be compared with a standardized method such as Electroencephalography (EEG). In this study, a real-time measurement of integrated multichannel EEG-ECVT was done in pre-frontal lobe. The measurement was done during close open eye and arithmetic stimuli. The measured signal was filtered using bandpass filter. Power Spectral Density (PSD) analysis was used to compare the measured signal between Fp1 and Fp2 locations. PSD analysis shows the conformity of the signal between the multichannel and between EEG and ECVT measurement