期刊文献+

表面肌电及其生物反馈在下腰痛中的应用进展 被引量:13

Application progress of surface electromyography and surface electromygraphic biofeedback in low back pain
原文传递
导出
摘要 目的总结表面肌电(surface electromygraphy,sEMG)及表面肌电生物反馈(surface electromygraphic biofeedback,sEMGBF)在下腰痛的诊断和治疗中的应用进展。方法广泛查阅sEMG及sEMGBF在下腰痛中应用的相关文献,对其在下腰痛诊断和治疗方面的应用进行总结分析。结果 sEMG作为一种辅助诊断手段,发现下腰痛患者存在腰椎旁肌疲劳、躯干肌活动失调、屈曲放松现象缺失和椎旁肌肌电活动不对称等现象;在治疗方面,sEMG结合sEMGBF技术形成sEMGBF训练(包括sEMGBF训练和sEMGBF伸展训练),sEMGBF训练可改善腰背肌肌电异常活动,从而重塑腰背肌功能和缓解腰痛。结论 sEMG是一种监测肌电信号的手段,同时sEMGBF具有通过反馈信息控制肌肉训练使肌肉放松或力量增强的作用,对于下腰痛的辅助诊断和治疗有重要意义。 Objective To summarize the application progress of surface electromyography (sEMG) and surface electromygraphic biofeedback (sEMGBF) in low back pain (LBP). Methods The related literature about the application of sEMG and sEMGBF in diagnosis and therapy of LBP was summarized and analyzed. Results As a auxiliary diagnostic technique, lumbar muscle fatigue, lumbar muscle activity disorder, flexion-relaxation phenomenon, and asymmetry of the paravertebral muscle electromygraphic activity were found in patients with LBP by sEMG. For treatment, sEMG combined with sEMGBF technology to form sEMGBF training. sEMGBF training include sEMGBF training and sEMGBF stretching exercise. sEMGBF training can improve lumbar muscle activity disorder, recover muscle function, and relieve back pain. Conclusion sEMG can monitor the electromyographic signal and sEMGBF biofeedback information can relax or strengthen the muscle. It is very meaningful for diagnosis and therapy of LBP.
出处 《中国修复重建外科杂志》 CAS CSCD 北大核心 2017年第4期504-507,共4页 Chinese Journal of Reparative and Reconstructive Surgery
基金 四川省科技计划项目(2014SZ0197)~~
关键词 表面肌电 表面肌电生物反馈 下腰痛 反馈训练 Surface electromygraphy surface electromygraphic biofeedback low back pain biofeedback training
  • 相关文献

参考文献5

二级参考文献99

  • 1成鹏,毕霞,仇瑶琴,禚红红,沈小丽.腰椎间盘突出症患者的腰背等速肌力评定(英文)[J].中国临床康复,2005,9(22):204-206. 被引量:9
  • 2王健,方红光,Markku Kankaanpaa.基于表面肌电信号变化的慢性下背痛诊断和运动疗效评价[J].航天医学与医学工程,2005,18(4):287-292. 被引量:33
  • 3郭铁成,陈勇,岳翔.患者自我干预在腰背痛康复中的作用[J].中国康复,2005,20(6):369-370. 被引量:26
  • 4Pullman SL,Goodin DS,Marquinez AI,et al.Clinical utility of surface EMG[J].Neurology,2000,55:171-177.
  • 5Farina D,Merletti R,Enoka RM.The extraction of neural strategies from the surface EMG[J].J Appl Physiol,2004,96:1486-1495.
  • 6Duchene J,Hogrel JY.A model of EMG generation[J].IEEE Transactions on biomedical engineering,2000,47(2):192-201.
  • 7Hagg GM.Interpretation of EMG spectral alterations and alteration indexes at sustained contraction [J].J Appl Physiol,1992,73(4):1211-1217.
  • 8Peach JP,McGill SM.Classification of low back pain wih the use of spectral electromyogram parameters[J].Spine,1998,23(10):1117-1123.
  • 9Kankaanpaa M,Taimela S,Webber CL Jr,et al.Lumbar paraspinal muscle fatigability in repetitive isoinertial loading:EMG spectral indices,Borg scale and endurance time[J].Eur J Appl Physiol,1997,76(3):236-242.
  • 10Cheung J,Halbertsma JP,Veldhuizen AG,et al.A preliminary study on electromyographic analysis of the paraspinal musculature in idiopathic scoliosis[J].Eur Spine J,2005,14(2):130-137.

共引文献139

同被引文献90

引证文献13

二级引证文献41

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部