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基于生物阻抗谱的肌张力障碍程度评价研究

曾兰婷 洪子文 蔡可书 孙婉婷 马姝玥 刘铭洁 许光旭

机械制造与自动化2026,Vol.55Issue(1):207-212,6.
机械制造与自动化2026,Vol.55Issue(1):207-212,6.DOI:10.19344/j.cnki.issn1671-5276.2026.01.039

基于生物阻抗谱的肌张力障碍程度评价研究

Evaluation on Muscle Tone Disorder Degree Based on Bioimpedance Spectroscopy

曾兰婷 1洪子文 2蔡可书 3孙婉婷 1马姝玥 1刘铭洁 1许光旭4

作者信息

  • 1. 南京医科大学 康复医学院,江苏 南京 210029
  • 2. 南京航空航天大学 机电学院,南京 211106
  • 3. 南京医科大学第一附属医院康复医学中心,江苏 南京 211112
  • 4. 南京医科大学 康复医学院,江苏 南京 210029||南京医科大学第一附属医院康复医学中心,江苏 南京 211112||南京医科大学附属苏州医院,江苏 苏州 215031
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摘要

Abstract

This paper proposes a method for identifying muscle tone disorders based on bioimpedance spectroscopy,which addresses the challenge of classifying muscle tone in clinical practice.With the focus on the biceps brachii,triceps brachii and gastrocnemius muscles,the bioimpedance spectra of these muscle groups were measured using the IM3570 impedance analyzer,disclosing that the relaxation impedance of muscle tone-affected areas was significantly lower than that of normal areas.In the case of patient 1,the relaxation impedance of the muscle tone-affected area was 30-50,while the impedance of the normal area was 50-100.An equivalent circuit model was constructed,which corresponds to the different biological tissues of the target areas.The measured impedance spectra were input into the equivalent circuit model to extract key electrical characteristic parameters:intracellular resistance(Ri),extracellular resistance(Re),and cell membrane capacitance(Cm).Using these extracted parameters,muscle tone presence or absence was classified with an accuracy rate of up to 94.7%.The proposed method holds promise for the classification and assessment of muscle tone levels.

关键词

生物阻抗谱方法/IM3570 实验平台搭建/等效电路模型搭建/临床应用/发展趋势

Key words

bioimpedance spectroscopy method/IM3570 experimental platform construction/equivalent circuit model construction/clinical application/development trend

分类

信息技术与安全科学

引用本文复制引用

曾兰婷,洪子文,蔡可书,孙婉婷,马姝玥,刘铭洁,许光旭..基于生物阻抗谱的肌张力障碍程度评价研究[J].机械制造与自动化,2026,55(1):207-212,6.

基金项目

国家自然科学基金面上项目(62271251) (62271251)

江苏省卫生健康发展研究中心开放课题(JSHD2021003) (JSHD2021003)

机械制造与自动化

1671-5276

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