SigViewer: Visualizing Multimodal Signals Stored in XDF (Extensible Data Format) Files

TL;DR

SigViewer is a new open-source application that visualizes multimodal biosignals stored in XDF files, enabling easier analysis and verification of complex time series data.

Contribution

It extends SigViewer with capabilities to load, resample, annotate, and visualize XDF files, filling a gap in stand-alone visualization tools for multimodal biosignals.

Findings

Successfully visualized multimodal signals in XDF files.

Enabled post-hoc verification of EEG phase prediction systems.

Enhanced biosignal analysis workflows.

Abstract

Multimodal biosignal acquisition is facilitated by recently introduced software solutions such as LabStreaming Layer (LSL) and its associated data format XDF (Extensible Data Format). However, there are no stand-alone applications that can visualize multimodal time series stored in XDF files. We extended SigViewer, an open source cross-platform Qt C++ application with the capability of loading, resampling, annotating, and visualizing signals stored in XDF files and successfully applied the tool for post-hoc visual verification of the accuracy of a system that aims to predict the phase of alpha oscillations within the electroencephalogram in real-time.