Many of you might already be using the Wireless Trigger system to facilitate experiments that are utilizing the LiveAmp’s potential as a mobile amplifier. By pairing a single transmitter with multiple receivers, you can now maximize the possibilities of such a mobile experiment by adding more LiveAmps to run hyperscanning experiments.
In this hyperscanning series, we first introduced our gold standard solution based on BrainAmps, then a wireless solution using CGX Quick headsets and the StimTrigger, as well as the extremely flexible LSL solution. In this fourth part, we demonstrate another hardware-based option: using the trigger mirror mode which can be used with actiCHamp Plus and LiveAmp together with the Sensor & Trigger Extension.
So far, this series covered hyperscanning with BrainAmp amplifiers as well as with CGX Quick headsets. Part 3 introduces a more general approach, which is based on LabStreamingLayer (LSL).
When analyzing EEG data, especially event-related potentials (ERPs), a reliable relationship between event markers and actual events is crucial. This article introduces the means to measure timing delays and latencies in your EEG recording setup.
Brain Products has been a big supporter of LabStreamingLayer (LSL) right from the very beginning. Since then, LSL has become a well-established tool for the EEG research community and beyond. To continue and improve our support for this system we provide a venue where interested researchers can easily find all the necessary tools and information.
In case you missed our most recent blog post on BCI+, here is a quick introduction to our new BrainVision LSL Viewer and a complete data processing pipeline using LSL.
BV2BIDS: the Brain Products’ solution for organizing your EEG data according to the brain imaging data structure (BIDS)
Are you aiming to standardize and organize your raw EEG data according to the EEG-BIDS standards? Is the EEG data stored in Brain Products’ BrainVision Core Data (BVCD) Format 1.0 (*.eeg, *.vhdr and *.vmrk)? If yes, you are only one step away from achieving your goal.
Currently there is a tendency to more and more use EEG not only for clinical analysis but also for Brain-Computer Interfaces (BCIs) for disabled people, for gaming, or for supervision, e.g, during driving. Here, it is important to know how many sensors are needed, and how they should be placed. This enables an easy setup of the electrode cap with reduced resources, while at the same time maintaining the system’s performance. The summarized article deals with this topic and introduces and compares several methods to choose relevant electrodes (sensors).