Year: 2022
Type: preprint
Abstract: We describe an interactive visualizer (implemented in R Shiny framework) to facilitate analysis and a better understanding of neurotransmitter data collected within the context of epileptic seizures. Given the very high granularity of collected data (at millisecond level), it is challenging to use static visuals and/or tables for deeper data insights and features. Such challenges are greatly alleviated through an interactive visualizer (dashboard) which has ability to zoom out (for “big picture” analysis) and to zoom in (for a much more focused and targeted targeted analysis). The visualizer is available at link https://kittyviz.shinyapps.io/GluGabaViz
Authors: Anne Thomas Homescu, Teresa Murray
Institution: Louisiana Tech University
Language: English
Subfield: Computer Vision and Pattern Recognition
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W4295854038