Affiliations 

  • 1 School of Computer Science and Engineering, Faculty of Innovation and Technology, Taylor's University, 47500 Subang Jaya, Selangor, Malaysia
  • 2 Department of Mechatronic and Biomedical Engineering, Faculty of Engineering and Science, Universiti Tunku Abdul Rahman, Bandar Sungai Long, Selangor 43000, Malaysia
  • 3 Department of Computer Science, Faculty of Information Communication and Technology, International Islamic University Malaysia, 50728 Gombak, Kuala Lumpur, Malaysia
Data Brief, 2021 Dec;39:107467.
PMID: 34703858 DOI: 10.1016/j.dib.2021.107467

Abstract

The electroencephalogram (EEG) signal data were obtained from Yayasan Kita dan Buah Hati (YKBH), Jakarta, Indonesia and collected using a Brain Maker EEG machine with 19 channels. The sampling rate of the machine was 250 Hz. Fourteen participants (five females and nine males) participated in the data collection. A psychologist verified that seven of them were addicted to porn, and seven were healthy teenagers. The EEG data were recorded using one protocol with nine tasks for 10 min. The three stages were the baseline (tasks with eyes closed and open), emotional state (happy, calm, sad and fearful tasks) and main (15-words memorisation task, executive task and 15-words recall task) stages. The data obtained was used to analyse the signal pattern of pornography addiction amongst teenagers, as well as the emotional signal pattern and working memory capacity.

* Title and MeSH Headings from MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine.