APS
31st APS Annual Convention · 2019
Machine Learning in Neurofeedback – the Complexity in Brain-Computer Interfaces
- 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