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Authors: Arjon Turnip 1 ; Erwin Sitompul 2 ; George Michael T. 3 ; Shelly Iskandar 4 ; Dessy Novita 5 and Dwi Esti Kusumandari 6

Affiliations: 1 Department of Electrical Engineering, Universitas Padjadjaran, Indonesia, Indonesia ; 2 Study Program of Electrical Engineering, Faculty of Engineering, President University, Indonesia ; 3 Electrical Engineering, Institut Teknologi Nasional, Indonesia ; 4 Faculty of Medical, Universitas Padjadjaran, Indonesia ; 5 Department of Electrical Engineering, Universitas Padjadjaran ; 6 Technial Unit for Instrumentation Development, Indonesian Institute of Science, Indonesia

Keyword(s): Methadone, EEG, drugs, and ANFIS

Abstract: The use of drugs outside the doctor's instructions tends to damage nerve function in users. The ability to detect drug users early is a major obstacle in overcoming drug abuse. If the brain system in humans is damaged, it usually causes permanent disability and is difficult to repair. In this study, a classification method to identify the level of brain damage in drug users was proposed. In the experiment, drug images were randomly displayed to stimulate the subjects' memory of using certain drugs. Recorded brain signals from eight subjects (addiction, methadone treatment (rehabilitation), and control) were performed. Brain waves in the form of alpha, beta, theta, and delta are used as features for the classification process using the ANFIS method. The classification results related to drug use with an accuracy rate of 96.97% were achieved.

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Paper citation in several formats:
Turnip, A.; Sitompul, E.; Michael T., G.; Iskandar, S.; Novita, D. and Kusumandari, D. (2021). Prediction of Drug Users Addiction Level with Methadone Treatment based on Brainwave Maximum Amplitude using ANFIS Method. In Proceedings of the International Conference on Health Informatics, Medical, Biological Engineering, and Pharmaceutical - HIMBEP; ISBN 978-989-758-500-5, SciTePress, pages 301-307. DOI: 10.5220/0010370603010307

@conference{himbep21,
author={Arjon Turnip. and Erwin Sitompul. and George {Michael T.}. and Shelly Iskandar. and Dessy Novita. and Dwi Esti Kusumandari.},
title={Prediction of Drug Users Addiction Level with Methadone Treatment based on Brainwave Maximum Amplitude using ANFIS Method},
booktitle={Proceedings of the International Conference on Health Informatics, Medical, Biological Engineering, and Pharmaceutical - HIMBEP},
year={2021},
pages={301-307},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010370603010307},
isbn={978-989-758-500-5},
}

TY - CONF

JO - Proceedings of the International Conference on Health Informatics, Medical, Biological Engineering, and Pharmaceutical - HIMBEP
TI - Prediction of Drug Users Addiction Level with Methadone Treatment based on Brainwave Maximum Amplitude using ANFIS Method
SN - 978-989-758-500-5
AU - Turnip, A.
AU - Sitompul, E.
AU - Michael T., G.
AU - Iskandar, S.
AU - Novita, D.
AU - Kusumandari, D.
PY - 2021
SP - 301
EP - 307
DO - 10.5220/0010370603010307
PB - SciTePress

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