Mep Hunter

Image credit: Unsplash

Analysis and visualization of electrophysiological data is a stage that demands a lot of work and time in an experimental procedure. Additionally, many researchers spend a lot of time learning computer programming to write scripts and analyze their own data. This common habit occurs because many available programs are expensive or difficult to use. Many of them do not have a graphical interface for the user and have a limited number of functionalities. Driven by this, we developed MEPHunter, a free software to facilitate the analysis and processing of electrophysiological data.

MEPHunter (Motor Evoked Potentials Hunter) started to be developed in 2011, with the initial goal being the quick and easy analysis of surface electromyography (EMG) data recorded in a transcranial magnetic stimulation (TMS) experiment. It is written in MATLAB v7.8 (MathWorks, Natick, USA) and is fully compatible with subsequent versions. In the following years, with many collaborators, suggestions, and experience gained in the experimental field, we felt the need to expand MEPHunter to other applications.

The aim of MEPHunter is to be software that allows the analysis of data and visualization of electrophysiological signals with a user-friendly graphical interface. MEPHunter provides a set of functions to separate continuous data into temporal graphs. It also has functions for bandpass filtering, amplitude calculations, and map creation. Users can interact directly with the automatic markers created by the software and change them according to their needs. The software can read data exported by four different models of sEMG amplifiers and can export processing results to a text file or an Excel file for future statistical analysis. MEPHunter was developed following object-oriented programming rules. Adding new functionalities and interfaces can be done by creating new plug-ins, enabling the continuous development of the software.

The development of MEPHunter as free software allows users from research centers and academic environments to use it for research and teaching purposes.

Renan Matsuda
Renan Matsuda
Postdoctorate

My research interests include Biomagnetism, working with Transcranial Magnetic Stimulation (TMS), computer vision, robotics and also on the development of a neuronavigation system, InVesalius Navigator.

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