Low-Cost Embedded System Proposal for EMG Signals Recognition and Classification Using ARM Microcontroller and a High-Accuracy EMG Acquisition System

Santiago Felipe Luna Romero, Luis Serpa-Andrade

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

An electromyography signal (EMG) is known as a record of the action potentials that are produced by the human brain with the intention of activating or deactivating the skeletal area muscles. These signals are considered very important within the biomedical area because they contain information on muscle contraction and relaxation, which can be used in various areas. The EMG signals recognition and classification are a subject very studied within the scientific community for its various applications such as prosthesis management, virtual environment control, bio-robotics, etc. An EMG signals classification system fulfills four stages corresponding to the acquisition, preprocessing, processing and classification. In this system, last three stages, algorithms are used that in principle allow minimizing the interference produced in the acquisition of this type of signals, in second, they correctly extract the information or characteristics of the same signals, and in third, they allow to use techniques that allow classification in the best way the EMG signals. As technology advances, new needs emerge, day by day EMG recognition systems are in need of improvement, so new techniques are proposed that improve the processing and classification of these types of signals, but from the same In this way, these techniques require a higher computing cost that allows each one of the stages mentioned above to be fulfilled in the best way possible. Therefore, this article proposes a low-cost embedded system that allows EMG signals to be recognized and classified, as a signal acquisition technique, it is proposed to use a multi-channel high precision system acquisition, and for the preprocessing, processing and classification stages, it is proposed to use a high-performance, low-cost microcontroller such as the ARM cortex M4. The proposal in general aims to create a system of recognition and classification of EMG signal that can be used in different areas of biomedicine such as the design of prostheses, but with the particularity of an embedded system of high computational range and low cost, this will allow using the algorithms that emerge day by day to improve the recognition and classification of EMG signals.

Original languageEnglish
Title of host publicationAdvances in Artificial Intelligence, Software and Systems Engineering - Proceedings of the AHFE 2020 Virtual Conferences on Software and Systems Engineering, and Artificial Intelligence and Social Computing
EditorsTareq Ahram
PublisherSpringer
Pages422-428
Number of pages7
ISBN (Print)9783030513276
DOIs
StatePublished - 2021
EventAHFE Virtual Conferences on Software and Systems Engineering, and Artificial Intelligence and Social Computing, 2020 - San Diego, United States
Duration: 16 Jul 202020 Jul 2020

Publication series

NameAdvances in Intelligent Systems and Computing
Volume1213 AISC
ISSN (Print)2194-5357
ISSN (Electronic)2194-5365

Conference

ConferenceAHFE Virtual Conferences on Software and Systems Engineering, and Artificial Intelligence and Social Computing, 2020
Country/TerritoryUnited States
CitySan Diego
Period16/07/2020/07/20

Bibliographical note

Publisher Copyright:
© 2021, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG.

Copyright:
Copyright 2020 Elsevier B.V., All rights reserved.

Keywords

  • Embedded system
  • EMG
  • Microcontroller
  • Signal processing

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