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Pregled bibliografske jedinice broj: 1206755

Detection of low back muscle state based on electrical impedance myography

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 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)

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Naslov
Detection of low back muscle state based on electrical impedance myography

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

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
Proceedings of the 2022 IEEE MTT-S International Microwave Biomedical Conference (IMBioC) / Gu, Changzhan - Piscataway (NJ) : Institute of Electrical and Electronics Engineers (IEEE), 2022, 120-122

Skup
IEEE International Microwave Biomedical Conference (IMBioC 2022)

Mjesto i datum
Suzhou, Kina, 16.05.2022. - 18.05.2022

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

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

Sažetak
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.

Izvorni jezik
Engleski

Znanstvena područja
Elektrotehnika



POVEZANOST RADA

Ustanove:
Fakultet elektrotehnike i računarstva, Zagreb

Profili:

Avatar Url Mario Cifrek (autor)

Avatar Url Željka Lučev Vasić (autor)

Poveznice na cjeloviti tekst rada:

doi ieeexplore.ieee.org

Citiraj ovu publikaciju:

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 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
Shi , J., Jingting , Y., Yan , H., Gao, Y., Lučev Vasić, Ž. & Cifrek, M. (2022) Detection of low back muscle state based on electrical impedance myography. U: Gu, C. (ur.)Proceedings of the 2022 IEEE MTT-S International Microwave Biomedical Conference (IMBioC) doi:10.1109/IMBioC52515.2022.9790108.
@article{article, author = {Shi, Jingting and Jingting, Yanyan and Yan, Hongli and Gao, Yueming and Lu\v{c}ev Vasi\'{c}, \v{Z}eljka and Cifrek, Mario}, editor = {Gu, C.}, year = {2022}, pages = {120-122}, DOI = {10.1109/IMBioC52515.2022.9790108}, keywords = {electrical impedance myography, low back pain, detection of muscle states}, doi = {10.1109/IMBioC52515.2022.9790108}, title = {Detection of low back muscle state based on electrical impedance myography}, keyword = {electrical impedance myography, low back pain, detection of muscle states}, publisher = {Institute of Electrical and Electronics Engineers (IEEE)}, publisherplace = {Suzhou, Kina} }
@article{article, author = {Shi, Jingting and Jingting, Yanyan and Yan, Hongli and Gao, Yueming and Lu\v{c}ev Vasi\'{c}, \v{Z}eljka and Cifrek, Mario}, editor = {Gu, C.}, year = {2022}, pages = {120-122}, DOI = {10.1109/IMBioC52515.2022.9790108}, keywords = {electrical impedance myography, low back pain, detection of muscle states}, doi = {10.1109/IMBioC52515.2022.9790108}, title = {Detection of low back muscle state based on electrical impedance myography}, keyword = {electrical impedance myography, low back pain, detection of muscle states}, publisher = {Institute of Electrical and Electronics Engineers (IEEE)}, publisherplace = {Suzhou, Kina} }

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