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BCI2000Web and WebFM: Browser-Based Tools for Brain Computer Interfaces and Functional Brain Mapping.

Griffin Milsap¹, Max Collard², Christopher Coogan²

¹Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, United States.

Frontiers in Neuroscience

|March 1, 2019

Summary

This summary is machine-generated.

This study introduces BCI2000Web, enabling real-time brain-computer interfaces (BCIs) through web browsers. This open-source tool facilitates novel applications like functional brain mapping, empowering developers with accessible BCI technology.

Keywords:

brain computer interface (BCI)electrocorticogram (ECoG)functional brain mapping visualization web browser

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Using an EEG-Based Brain-Computer Interface for Virtual Cursor Movement with BCI2000

Using an EEG-Based Brain-Computer Interface for Virtual Cursor Movement with BCI2000

Published on: July 29, 2009

Area of Science:

Neuroscience
Computer Science
Biomedical Engineering

Background:

BCI2000 is a widely used platform for real-time brain-computer interfaces (BCIs).
Modern web browsers offer advanced capabilities for developing interactive, internet-enabled applications.
Integrating BCI2000's signal processing with web technologies can create new browser-based BCIs and visualizations.

Purpose of the Study:

To develop a system enabling real-time communication between BCI2000 and web browsers.
To provide web developers with an intuitive JavaScript module for creating BCI applications.
To demonstrate the utility of the developed system through a functional brain mapping application.

Main Methods:

Developed BCI2000Web, a server and filter module with WebSocket support for real-time browser-BCI2000 communication.
Created bci2k.js, a JavaScript module for simplified development of browser-based BCI paradigms and visualizations.
Implemented WebFM, a browser-based electrocorticographic (ECoG) functional mapping suite using BCI2000Web.

Main Results:

Established a real-time, bidirectional communication channel between BCI2000 and web browsers.
Successfully demonstrated a functional brain mapping application (WebFM) entirely within a web browser.
Showcased the potential for novel BCI applications through this integrated framework.

Conclusions:

BCI2000Web facilitates real-time browser-based interactions with human neurophysiological recordings.
The framework supports the development of web-based BCIs and applications like real-time functional brain mapping.
Open-sourcing BCI2000 and WebFM empowers a broader range of developers to engage with BCI technology.