Abstract
This paper presents our stream processing, and visualization system adapted to the requirements of the neuroscience domain. We propose to build a visual stream processing system for supporting the analysis and exploration of data streams in real-time by exploiting human’s natural ability for discovering patterns. Our work combines stream processing and data storage techniques with data visualization theory. We study strategies for visualizing different types of data considering constraints related to real-time and data volume.
Cite
CITATION STYLE
Espinosa-Oviedo, J. A. (2022). Streaming and Visualising Neuronal Signals for Understanding Pain. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 13236 LNCS, pp. 228–235). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-14135-5_18
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