Human brain auditory activity observation using electrical capacitance volume tomography

Fianti F. Darmawan, Dhany Arifianto, Mahfudz A. Huda, Warsito P. Taruno

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

4 Citations (Scopus)


This study performed observation of human brain activity in response to audio stimuli using Electrical Capacitance Volume Tomography (ECVT). The observation was done by interpreting and examining 32-channels ECVT Brain Scanner's image. Hearing activity in brain was recorded while a single tone stimulus with three different frequencies -500 Hz, 1000 Hz, and 4000 Hz, was played into the right ear of each subjects. ECVT's measurement data then being reconstructed into permittivity distribution-displayed as brain image, by using average subtraction method and ILBP algorithm. Since ECVT has limitation on its spatial resolution and its original reconstructed image of brain cannot specifically show the exact location of the activated brain yet, it needs further processing. Image is processed by determining centroid distance from entire produced frames to get sliced area which is estimated as auditory cortex - activated brain area when human hears. By this method, we can get a sliced area with permittivity distribution reach maximum value, 1. The sliced area then being segmented by its colour on a scale range at 0.8-1 - shown by red colour. Images processed by centroid method are correlated with coefficient of correlation is higher than 0.5 in all stimulus conditions. It shows that ECVT can be considered as a promising technique for classification of activated brain area for neuroscience applications.

Original languageEnglish
Title of host publicationIEEE SENSORS 2017 - Conference Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages3
ISBN (Electronic)9781509010127
Publication statusPublished - 21 Dec 2017
Externally publishedYes
Event16th IEEE SENSORS Conference, ICSENS 2017 - Glasgow, United Kingdom
Duration: 30 Oct 20171 Nov 2017

Publication series

NameProceedings of IEEE Sensors
ISSN (Print)1930-0395
ISSN (Electronic)2168-9229


Conference16th IEEE SENSORS Conference, ICSENS 2017
Country/TerritoryUnited Kingdom


  • auditory cortex
  • brain ECVT
  • centroid
  • hearing activity


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