Overview of processing techniques for surface electromyography signals

Alejandra  Manjarres-Triana; Juan Acevedo-Serna; Andres A.  Ramírez-Duque; Mario F. Jimenez; Edith Pulido-Herrera

doi:10.48550/arXiv.2304.04098

Overview of processing techniques for surface electromyography signals

Alejandra Manjarres-Triana
, Juan Acevedo-Serna
, Andres A. Ramírez-Duque
, Mario F. Jimenez
, Edith Pulido-Herrera

Research output: Contribution to Journal › Research Article

Abstract

Surface electromyography (sEMG) is a technology to assess muscle activation, which is an important component in applications related to diagnosis, treatment, progression assessment, and rehabilitation of specific individuals' conditions. Recently, sEMG potential has been shown, since it can be used in a non-invasive manner; nevertheless, it requires careful signal analysis to support health professionals reliably. This paper briefly described the basic concepts involved in the sEMG, such as the physiology of the muscles, the data acquisition, the signal processing techniques, and classification methods that may be used to identify disorders or signs of abnormalities according to muscular patterns. Specifically, classification methods encompass digital signal processing techniques and machine learning with high potential in the field. We hope that this work serves as an introduction to researchers interested in this field.

Translated title of the contribution	Descripción general de las técnicas de procesamiento de señales de electromiografía de superficie
Original language	English (US)
Pages (from-to)	1
Number of pages	11
Journal	ARXIV
DOIs	https://doi.org/10.48550/arXiv.2304.04098
State	Published - Apr 8 2023

All Science Journal Classification (ASJC) codes

Biomedical Engineering

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This output contributes to the following UN Sustainable Development Goals (SDGs)

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title = "Overview of processing techniques for surface electromyography signals",

abstract = "Surface electromyography (sEMG) is a technology to assess muscle activation, which is an important component in applications related to diagnosis, treatment, progression assessment, and rehabilitation of specific individuals' conditions. Recently, sEMG potential has been shown, since it can be used in a non-invasive manner; nevertheless, it requires careful signal analysis to support health professionals reliably. This paper briefly described the basic concepts involved in the sEMG, such as the physiology of the muscles, the data acquisition, the signal processing techniques, and classification methods that may be used to identify disorders or signs of abnormalities according to muscular patterns. Specifically, classification methods encompass digital signal processing techniques and machine learning with high potential in the field. We hope that this work serves as an introduction to researchers interested in this field.",

author = "Alejandra Manjarres-Triana and Juan Acevedo-Serna and Ram{\'i}rez-Duque, \{Andres A.\} and Jimenez, \{Mario F.\} and Edith Pulido-Herrera",

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doi = "10.48550/arXiv.2304.04098",

language = "English (US)",

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T1 - Overview of processing techniques for surface electromyography signals

AU - Manjarres-Triana, Alejandra

AU - Acevedo-Serna, Juan

AU - Ramírez-Duque, Andres A.

AU - Jimenez, Mario F.

AU - Pulido-Herrera, Edith

PY - 2023/4/8

Y1 - 2023/4/8

N2 - Surface electromyography (sEMG) is a technology to assess muscle activation, which is an important component in applications related to diagnosis, treatment, progression assessment, and rehabilitation of specific individuals' conditions. Recently, sEMG potential has been shown, since it can be used in a non-invasive manner; nevertheless, it requires careful signal analysis to support health professionals reliably. This paper briefly described the basic concepts involved in the sEMG, such as the physiology of the muscles, the data acquisition, the signal processing techniques, and classification methods that may be used to identify disorders or signs of abnormalities according to muscular patterns. Specifically, classification methods encompass digital signal processing techniques and machine learning with high potential in the field. We hope that this work serves as an introduction to researchers interested in this field.

AB - Surface electromyography (sEMG) is a technology to assess muscle activation, which is an important component in applications related to diagnosis, treatment, progression assessment, and rehabilitation of specific individuals' conditions. Recently, sEMG potential has been shown, since it can be used in a non-invasive manner; nevertheless, it requires careful signal analysis to support health professionals reliably. This paper briefly described the basic concepts involved in the sEMG, such as the physiology of the muscles, the data acquisition, the signal processing techniques, and classification methods that may be used to identify disorders or signs of abnormalities according to muscular patterns. Specifically, classification methods encompass digital signal processing techniques and machine learning with high potential in the field. We hope that this work serves as an introduction to researchers interested in this field.

UR - https://arxiv.org/abs/2304.04098

U2 - 10.48550/arXiv.2304.04098

DO - 10.48550/arXiv.2304.04098

M3 - Research Article

SP - 1

JO - ARXIV

JF - ARXIV

ER -

Overview of processing techniques for surface electromyography signals

Abstract

All Science Journal Classification (ASJC) codes

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