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This research combines mobile EEG and augmented reality (AR) to study cognition. Participants completed three face inversion tasks: (1) computer-based, (2) mobile EEG with photographs, (3) mobile EEG with AR. We find face inversion effects in all tasks, concluding that mobile EEG and AR is a promising approach for research.
Here are some more short news as well as an overview of the latest updates and downloads for our products and solutions.
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.
As 2022 comes to an end, we’d like to take a look back on our recent Academy events and let you know what we are planning in terms of Academy events and our new "Onboarding" programmes for 2023.
Here are some more short news as well as an overview of the latest updates and downloads for our products and solutions.
You would like to start with EEG research, but you are unsure what amplifier works best for you? Given the range of possibilities, it can be hard to choose the best EEG amplifier for your research. If you could use some guidance, this article is a good start for you!
An EEG signal goes through various transformations on both the hardware- and software-level before being saved on the hard disk or being displayed on the screen. This article explains the pipeline principles and highlights the difference between user-configurable filters vs. automatic filters that prevent aliasing artifacts by design.
After E-Prime, Presentation, and Experiment Builder, we now introduce the integration of code in PsychoPy that allows you to remotely control BrainVision Recorder directly from the Python-based open source stimulus presentation software.
Until recently, there has been little information about EEG data quality and safety when used with newer multi-band (MB) fMRI sequences. Here, we measure the relative heating of a MB protocol compared with a standard single-band (SB) protocol considered to be safe. We also evaluated EEG quality recorded concurrently with the MB protocol on humans.
In this part of our peripheral physiology series we introduce ECG measurement using BrainAmp ExG MR in the MR environment. The safety issues associated with ECG in the MR environment are highlighted. We explain the mechanisms which may limit the signal quality and introduce a methodology to obtain precise heart rate information.
