Eview: an open source software for converting and visualizing of multichannel electrophysiological signals

Abstract

BACKGROUND: Methods and tools for operating with multichannel electrophysiological signals need to develop and correspond to the speed of data traffic in contemporary experiments. Analyzing and visualizing experimental data with minimal delay and with minimized experimenter effort is a pressing task in the field of neurobiology and requires the use of complex approaches specifically selected for each specific type of experiment. Creating open-source programs that can be promptly adapted for different tasks is one of the approaches that provide the ability to perform complex scientific experiments with high quality.

AIM: This work is aimed at creating open-source software for analytical and visualization support of neurobiological experiments.

METHODS: Software development was performed in MATLAB environment. The program is built on a modular principle and includes an intuitive graphical interface that facilitates control of the signal processing and display.

RESULTS: A software tool was created that allows to optimize and accelerate various stages of electrophysiological research, including preliminary analysis of the quality of the experiment being prepared, in-depth analysis of recorded signals, and preparation of illustrative material for publications.

CONCLUSION: The resulting program has a number of advantages in comparison with similar products in terms of versatility, speed, and availability, and can be used to solve a wide class of research problems.

Keywords

signals visualizing / electrophysiology / data analysis / research design / software / Eview

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