Improved Multichannel Electromyograph Using Off-the-Shelf Components for Education and Research

Author:

Staderini Enrico M.ORCID,Mugnaini Stefano,Kambampati HarishORCID,Magrini Andrea,Gentili Sandro

Abstract

Most students and researchers with limited funding are often looking for simple and low-cost devices for the acquisition of the electromyogram signal (EMG) in an educational or research setting. Thus, off-the-shelf devices are used and they have already been described in the literature, but they are used without considering their real performances, which are, in general, quite poor from the electronic and signal processing points of view. It is the purpose of this communication to present the evidence of these issues, and to describe an improved version of the “classical” duo, composed of the common ECG/EMG Olimex board and the Arduino microprocessor board. In this case, the Arduino-DUE is used. Three main points are highlighted in this paper: (a) the bandpass characteristics of the ECG/EMG Olimex board and how they can be improved to cope with EMG bandwidth requirements; (b) the increase in sampling frequency of the signal; and, finally, (c) the possibility of automatic detection of more ECG/EMG Olimex boards installed at the same time as the shields on the Arduino-DUE board. Very simple and low-cost modifications on the ECG/EMG Olimex board could deliver a much better performing multichannel EMG acquisition system, suitable for educational classroom experiments and early proof-of-concept research.

Publisher

MDPI AG

Subject

Electrical and Electronic Engineering,Biochemistry,Instrumentation,Atomic and Molecular Physics, and Optics,Analytical Chemistry

Reference16 articles.

1. Surface Electromyography : Physiology, Engineering, and Applications

2. Tutorial. Surface EMG detection in space and time: Best practices

3. Olimex ECG/EMG Manualhttps://www.olimex.com/Products/Duino/Shields/SHIELD-EKG-EMG/resources/SHIELD-EKG-EMG.pdf

4. Standards for Reporting EMG Datahttps://isek.org/wp-content/uploads/2015/05/Standards-for-Reporting-EMG-Data.pdf

5. Acquisition, Processing and Analysis of the Surface Electromyogram

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