APS

31st APS Annual Convention · 2019

A Machine Learning Approach Using EEG to Detect Craving Induced By Virtual Reality Scenarios in 1403 Male Patients with Methamphetamine Dependence

Washington, DC · May 2019

Poster · Cross-Cutting Theme Poster - Artificial Intelligence and Psychological Science

  • Ding Xinfang
    Capital Medical University
  • Li Yuanhui
    Adai Technology (Beijing), Ltd., Co
  • Wu Yingge
    Adai Technology (Beijing), Ltd., Co
  • Li Dai
    Adai Technology (Beijing), Ltd., Co

Abstract

Methamphetamine dependence have been increasing worldwide. To facilitate treatment and rehabilitation, many studies focused on quantifying drug craving. The present study addressed this issue by utilizing a machine learning approach to process electroencephalography data that were collected from participants exposed to both drug-related and drug-unrelated virtual reality environments.

Addiction

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