Electroencephalogram (EEG) dataset with porn addiction and healthy teenagers under rest and executive function task

Published: 11 June 2021| Version 5 | DOI: 10.17632/4r8hp2hmb4.5
, I Made Artha Agastya


A set of electroencephalogram (EEG) signals data obtained from Yayasan Kita Dan Buah Hati (YKBH), Jakarta, Indonesia. The data was collected using a BrainMaker EEG machine with 19 channels. The sampling rate of the machine is 250Hz. There are 14 participants (girl = 5, boy = 9) join the data collection. A psychologist has verified 7 of them are an addiction, and 7 of them are healthy children. The EEG data were recorded through one protocol with five tasks for 10 minutes. The five tasks are baseline, emotional state, memorize task, executive task, and recall task. The obtained data is used for analyzing the pattern of pornography addiction among children. Further analysis of pre-processing, feature extraction, and classification will be applied to the data.


Steps to reproduce

1. Check on the participants and protocals details for the data information 2. Download the csv file for each subject 3. Each participants have 9 csv file for different protocols, you can process the data for each protocol. 4. The suggest step is pre-processing, feture extraction and classification.


Taylor's University School of Computer Science and Engineering, Taylor's University School of Computing and IT