In a 2018 Journal of Neuroscience Methods article, Lorenz Esch and colleagues present MNE Scan, a software that provides real-time acquisition and processing of electrophysiological data.
MNE Scan is a state-of-the-art real-time processing software for clinical MEG and EEG data. By allowing for real-time analysis of neuronal activity, MNE Scan enables the optimization of input stimuli and permits the use of neurofeedback. MNE Scan is based on the open-source MNE-CPP library. Written in C++, MNE-CPP is a software framework that processes standard electrophysiological data formats and is compatible with Windows, Mac, and Linux. Compared to other open-source real-time electrophysiological processing software, MNE Scan is designed to meet medical regulatory requirements such as the IEC 62304. This makes MNE Scan ideal for clinical studies and is already in active use with an FDA approved pediatric MEG system. MNE Scan has also been validated in several different use cases, making it a robust solution for the processing of MEG and EEG data in a variety of scenarios.