Electroencephalogram (EEG) dataset with porn addiction and healthy teenagers under rest and executive function task
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 12 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. Download the tdms file 2. Convert the tdms file to csv by using Matlab, python etc. 3. Pre-procesisng data to remove noise. 4. Machine learning step