Title :
Vision system for quantifying EEG brain wave histogram images
Author :
Yusof, Y. W Mohamad ; Hashim, H. ; Khirotdin, S.B. ; Zabidin, M. Mohamed
Author_Institution :
Fac. of Electr. Eng., Univ. Teknol. MARA, Shah Alam, Malaysia
Abstract :
The brain activities or actions can be detected by using the Electroencephalogram (EEG) transducer. The electrical data that come out from the EEG is illustrated in term of time response and histogram using the wave ware software that comes together with the system. However, problems exist because the data collected from EEG could not provide quantified numerical raw data and therefore result difficulties when analyzing the displayed plots. Therefore, this work was done to design a vision system that will incorporate the data of EEG in order to provide more information to the end user. Visual Basic with Graphical User Interface was used as a tool to design the vision system and Microsoft Access was used to build the database of the brain wave. Through this system, it is not only can read the histogram plots from the wave ware graphical image, but can show all the numerical values and thus those numerical values can be saved into the database so that it can be retrieved back for future used.
Keywords :
computer vision; electroencephalography; graphical user interfaces; EEG brain wave histogram images; Microsoft Access; electroencephalogram transducer; graphical user interface; vision system; visual basic; Databases; Electroencephalography; Histograms; Machine vision; Pixel; Software; Synchronization; Brain Wave; Histogram; Image; Vision System;
Conference_Titel :
Industrial Electronics & Applications (ISIEA), 2010 IEEE Symposium on
Conference_Location :
Penang
Print_ISBN :
978-1-4244-7645-9
DOI :
10.1109/ISIEA.2010.5679472