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.
Cite
@article{arxiv.1708.06333,
title = {SigViewer: Visualizing Multimodal Signals Stored in XDF (Extensible Data Format) Files},
author = {Yida Lin and Clemens Brunner and Paul Sajda and Josef Faller},
journal= {arXiv preprint arXiv:1708.06333},
year = {2017}
}
Comments
39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society