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Detection of low back muscle state based on electrical impedance myography (CROSBI ID 720985)

Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija

Shi , Jingting ; Jingting , Yanyan ; Yan , Hongli ; Gao, Yueming ; Lučev Vasić, Željka ; Cifrek, Mario Detection of low back muscle state based on electrical impedance myography // Proceedings of the 2022 IEEE MTT-S International Microwave Biomedical Conference (IMBioC) / Gu, Changzhan (ur.). Piscataway (NJ): Institute of Electrical and Electronics Engineers (IEEE), 2022. str. 120-122 doi: 10.1109/IMBioC52515.2022.9790108

Podaci o odgovornosti

Shi , Jingting ; Jingting , Yanyan ; Yan , Hongli ; Gao, Yueming ; Lučev Vasić, Željka ; Cifrek, Mario

engleski

Detection of low back muscle state based on electrical impedance myography

In the prevention and rehabilitation stage of low back diseases, it is necessary to detect the state of muscles to avoid excessive fatigue and injury caused by continuous exertion of lumbar muscles. In this paper, an in vivo experimental platform for measuring low back muscle impedance was established in order to detect the different force states of muscle and study the corresponding relationship between muscle force state and muscle impedance. In the experiment, Biering-Sorensen (BS) test was used to make the low back muscle contract continuously, and different weights (5 kg, 2.5 kg, 0 kg) were used to distinguish the force state of muscle. The impedance analyzer was used to measure the muscle impedance parameters under different load in the subject's low back muscle for studying the electrical impedance characteristics of different low back muscle states. The results showed that the relative resistance R՛ of EIM was a downward trend with time and the 5 kg load had the fastest decline. The relative reactance Xc ՛ of EIM was an upward trend with time, the 5 kg load also had the fastest rise. The slope k of the fitting curve of R՛ and Xc ՛were -5.8 × 10-4 and 8.76 × 10-4 respectively. Therefore, EIM can effectively detect the state of low back muscles.

electrical impedance myography ; low back pain ; detection of muscle states

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Podaci o prilogu

120-122.

2022.

objavljeno

10.1109/IMBioC52515.2022.9790108

Podaci o matičnoj publikaciji

Proceedings of the 2022 IEEE MTT-S International Microwave Biomedical Conference (IMBioC)

Gu, Changzhan

Piscataway (NJ): Institute of Electrical and Electronics Engineers (IEEE)

Podaci o skupu

IEEE International Microwave Biomedical Conference (IMBioC 2022)

predavanje

16.05.2022-18.05.2022

Suzhou, Kina

Povezanost rada

Elektrotehnika

Poveznice