APS

31st APS Annual Convention · 2019

Machine Learning in Neurofeedback – the Complexity in Brain-Computer Interfaces

Washington, DC · May 2019

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

  • Kayla Thompson
    Nova Southeastern University
  • Jaime Tartar
    Nova Southeastern University
  • Cheng Qian
    Enchanted Wave LLC

Abstract

Neurofeedback is a widely used, however highly debated, method in therapy for ADHD, anxiety, insomnia, etc.
Based on a simple wireless qEEG device, we developed a machine learning algorithm for neurofeedback, and explored some rarely discussed, but critical, factors that might lead to the success or failure of the neurofeedback.

Engineering/Human Factors/Ergonomics

← Poster Session IX