Detection of Drug Effects on Brain-Based EEG Signals using K-Nearest Neighbours

Drugs are very harmful to the body, especially to the performance of the brain, which causes brain damage. Several methods for drug detection, especially in medical, have been done, but using non-medical technology is still rare. This study proposes drug detection using an EEG system with a KNN clas...

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Bibliographic Details
Published in2023 IEEE 9th Information Technology International Seminar (ITIS) pp. 1 - 5
Main Authors Turnip, Arjon, Hamonangan, Jonathan Given, Yohanes, Gilbert Faintbright, Turnip, Peri, Sitompul, Erwin, Le Hoa, Nguyen
Format Conference Proceeding
LanguageEnglish
Published IEEE 18.10.2023
Subjects
Accuracy
Brain
Classification
Drugs
EEG
Electroencephalography
Information technology
Java
K-NN
Nearest neighbor methods
Recording
Seminars
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DOI10.1109/ITIS59651.2023.10420084

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Summary:Drugs are very harmful to the body, especially to the performance of the brain, which causes brain damage. Several methods for drug detection, especially in medical, have been done, but using non-medical technology is still rare. This study proposes drug detection using an EEG system with a KNN classifier. In the experiment, 20 subjects in one of the prisons in West Java were involved. Extraction and classification results using K-NN with 96% accuracy were obtained. These results show the potential of the proposed technology for drug detection.
DOI:10.1109/ITIS59651.2023.10420084