BrainKilter: A Real-time EEG Analysis Platform for Neurofeedback Design and Training

Guangying Pei, Guoxin Guo, Duanduan Chen, Ruoshui Yang, Zhongyan Shi, Shujie Wang, Jinpu Zhang, Jinglong Wu, Tianyi Yan
2020 IEEE Access  
Neurofeedback targets self-regularized brain activity to normalized brain function based on brain-computer interface (BCI) technology. Although BCI software or platforms have continued to mature in other fields, little effort has been expended on neurofeedback applications. Hence, we present BrainKilter, a real-time electroencephalogram (EEG) analysis platform based on a "4-tier layered model". The purposes of BrainKilter are to improve portability and accessibility, allowing different users to
more » ... choose various options to perform EEG processing, target stimulation-induction through a pipeline, and analyze data online, essentially, to design a protocol paradigm and applicable BCI technology for neurofeedback experiments. The data processing effectiveness and application value of BrainKilter were tested using multiple-parameter neurofeedback training, in which BrainKilter regulated the amplitude of mismatch negative (MMN) signals for healthy individuals. The proposed platform consists of a set of software modules for online protocol design and signal decoding that can be conveniently and efficiently integrated for neurofeedback design and training. The BrainKilter platform provides a truly easy-to-use environment for customizing the experimental paradigm and for optimizing the parameters of neurofeedback experiments for research and clinical neurofeedback applications using BCI technology. INDEX TERMS BrainKilter, BCI, MMN, neurofeedback, platform, real-time. 57662 VOLUME 8, 2020
doi:10.1109/access.2020.2967903 fatcat:3hy5u6j5znht3brojcat47v3g4