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An Introduction to EMG Signal Processing Using MatLab and Microsoft Excel

An Introduction to EMG Signal Processing Using MatLab and Microsoft Excel
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Author(s): Daniel Robbins (University of Bedfordshire, UK)
Copyright: 2014
Pages: 18
Source title: Applications, Challenges, and Advancements in Electromyography Signal Processing
Source Author(s)/Editor(s): Ganesh R. Naik (University of Technology Sydney (UTS), Australia)
DOI: 10.4018/978-1-4666-6090-8.ch004

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Abstract

This chapter provides the reader with an introduction to the fundamentals of biological signal analysis and processing, using EMG signals to illustrate the process. The areas covered within the chapter include: frequency analysis using the Fast Fourier Transform, identifying noise within a signal, signal smoothing via root mean square (RMS) processing and signal filtering with both low-pass and high-pass filters. Guidelines for the application of the processes covered are included in conjunction with step by step examples using both MathWorks MatLab and Microsoft Excel software. Following the examples therefore allows the reader to practice the processes described to promote and reinforce their learning.

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