Overview of processing techniques for surface electromyography signals

Autor:	Manjarres-Triana, Alejandra, Acevedo-Serna, Juan, Ramírez-Duque, Andrés A., Jiménez, Mario F., Pulido-Herrera, Edith, Mayor, John J. Villarejo
Rok vydání:	2023
Předmět:	Electrical Engineering and Systems Science - Signal Processing 92C55 (Primary) 94A99 (secondary)
Druh dokumentu:	Working Paper
Popis:	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. Comment: 11 pages, 7 figures
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2304.04098 Zobrazit plný text záznamu View this record from Arxiv