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. 2019 Feb 13;12:1030. doi: 10.3389/fnins.2018.01030

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Copyright © 2019 Milsap, Collard, Coogan and Crone.

This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

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A system diagram depicting an experiment implemented in browser JavaScript running on an independent mobile device. The mobile device is running an experimenter-implemented web-page in fullscreen mode which communicates directly with BCI2000Web for event logging as well as the Signal Processing module for receiving extracted neural control signals. A JavaScript package, bci2k.js, manages WebSocket connections that handle transmission of operator scripting language commands and decodes neural control signals from a binary format. The mobile device is running a word reading paradigm (with the stimulus “HEALTH” currently presented) that has defined asynchronous experimental states including markers for automated vocal transcription onsets using the WebSpeech API. A query for system state is also relayed by the BCI2000Web server. The benefit of such an architecture is that the patient interface is separated from the bedside clinical acquisition machine and can be left with the patient without concern of the patient manipulating the clinical datastream.