Research on Symmetry Detection Technology of Low Back Muscle State Based on EIM
SHI Jingting1, XU Pan1, ZHUANG Yuandong2, GAO Yueming1
1. College of Physics and Information Engineering, Fuzhou University, Fuzhou Fujian 350116, China;
2. Department of Neurosurgery, Fujian Medical University Union Hospital, Fuzhou Fujian 350001, China
Abstract：Objective To investigate human psoas muscle by electrical impedance myography (EIM), a non-invasive bioimpedance
technique, and to explore its effect on the symmetry detection of psoas muscle. Methods The finite element electric field model is
constructed based on the real physiological parameters of human low back, obtained the EIM measurement distance more suitable
for human low back muscle, the sensitivity analysis method was used to simulate the current density under different electrode
configurations. And in vivo experiments were carried out to verify, and the simulation results were applied to the low back muscle
state symmetry detection experiment. Results The consistency between simulation experiment and the in vivo experiment was 0.95;
The electrode configuration method proposed in this paper can significantly reduce the individual difference caused by waist fat
thickness during measurement; The asymmetric experimental results showed that the EIM parameters resistance R and reactance
Xc on the contraction side change more significantly, and the slopes of the change fitting curves of R and Xc were -4.15×10-4 and
13.5×10-4 respectively. The changes of R is more obvious than Xc, and the average decrease range of R on the systolic side was about
4.15 Ω. Conclusion EIM can noninvasively detect the asymmetry of low back muscle, and the results are significant. The clinical
manifestations of low back muscle strain, low back pain and other symptoms are more asymmetric. EIM is expected to be a biomarker
of this disease, which has important clinical significance for the prevention and detection of waist diseases.
史婧婷1，徐攀1，庄源东2，高跃明1. 基于EIM的腰肌状态对称性检测技术研究[J]. 中国医疗设备, 2023, 38(1): 30-35.
SHI Jingting1, XU Pan1, ZHUANG Yuandong2, GAO Yueming1. Research on Symmetry Detection Technology of Low Back Muscle State Based on EIM. China Medical Devices, 2023, 38(1): 30-35.
