Daily Archives: January 5, 2017

Our MNE Scan software can be used to acquire and process electrophysiological data in real-time. MNE Scan includes several sensor plugins, which can be used to connect to different devices. As of right now MNE Scan is able to connect to the following devices and thus provide an internal data stream for subsequent real-time processing: EEG devices EEGoSports (ANT Neuro) TMSI Refa gUSBAmo (g.Tec) BrainAmp (Brain Products) MEG Elekta Neuromag […]

MNE Scan: Improved Device Support

 in Development / MNE Scan
Magnetoencephalography (MEG) and Electroencephalography (EEG) provides high temporal resolution which allows a detailed investigation of time related neuronal activation properties. In real-time analysis two major challenges have to be handled: the low signal-to-noise ratio (SNR) and the limited time available for computations. We recently proposed Real-Time Clustered Multiple Signal Classification (RTC-MUSIC) as a real-time source localization algorithm, which can handle low SNRs and can cope with the high computational effort. It […]

RTC-MUSIC: Real-Time Source Localization

 in Algorithms / Development / MNE Lib / MNE Scan