@conference{Razi2018272,
title = {Neurophysiological analysis of porn addiction to learning disabilities},
author = {N I M Razi and A W A Rahman and N Kamaruddin},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85060456087&doi=10.1109%2fICT4M.2018.00057&partnerID=40&md5=40b96e377414d3bed38a2803752c165a},
doi = {10.1109/ICT4M.2018.00057},
isbn = {9781538675250},
year = {2018},
date = {2018-01-01},
journal = {Proceedings - International Conference on Information and Communication Technology for the Muslim World 2018, ICT4M 2018},
pages = {272-277},
publisher = {Institute of Electrical and Electronics Engineers Inc.},
abstract = {Learning disability results from a reduced intellectual ability that can be observed from the lack of listening, speaking, reading, writing, reasoning, or mathematical proficiencies. Such condition may expose the children from the unfiltered porn contents freely available from the Internet as they are unaware or have minimal understanding of the negative effects of the pornographic contents. The exposure to pornographic contents that are unmonitored may result to porn addiction as it may trigger excitement and pleasure induced. Hence, this paper attempts to explore the empirical evidence of the correlation between learning disability and pornography addiction by using the electroencephalogram (EEG) of children from a private psychology clinic. The experimental results show that, there are weak correlation between learning disability based on the EEG frequency bands and porn addiction. It can be hoped that such approach is a stepping step in further exploring the relationship between porn addiction and learning disability. © 2018 IEEE.},
note = {cited By 2},
keywords = {Attention Deficit Hyperactivity Disorder, Autism Spectrum Disorders, Diseases, Dyslexia, Electroencephalography, Learning Disorder, Neurophysiological, Neurophysiology, Porn Addiction},
pubstate = {published},
tppubtype = {conference}
}