Electroencephalogram (EEG) dataset with porn addiction and healthy teenagers under rest and executive function task
Xiaoxi Kang,
I Made Artha Agastya,
Dini Oktarina Dwi Handayani,
Mun Hou Kit,
Abdul Wahab Bin Abdul Rahman
Affiliations
Xiaoxi Kang
School of Computer Science and Engineering, Faculty of Innovation and Technology, Taylor's University, 47500 Subang Jaya, Selangor, Malaysia; Corresponding Authors.
I Made Artha Agastya
School of Computer Science and Engineering, Faculty of Innovation and Technology, Taylor's University, 47500 Subang Jaya, Selangor, Malaysia; Department of Informatics, Universitas Amikom Yogyakarta, Jl. Ringroad Utara, Condong Catur Depok, Sleman Yogyakarta 55583, Indonesia
Dini Oktarina Dwi Handayani
School of Computer Science and Engineering, Faculty of Innovation and Technology, Taylor's University, 47500 Subang Jaya, Selangor, Malaysia; Corresponding Authors.
Mun Hou Kit
Department of Mechatronic and Biomedical Engineering, Faculty of Engineering and Science, Universiti Tunku Abdul Rahman, Bandar Sungai Long, Selangor 43000, Malaysia
Abdul Wahab Bin Abdul Rahman
Department of Computer Science, Faculty of Information Communication and Technology, International Islamic University Malaysia, 50728 Gombak, Kuala Lumpur, Malaysia
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.
