Kumar Shrawan, Prasad Narsimha
Physical Medicine Institute, University of North Texas Health Science Center, Fort Worth, TX 76107, USA.
Clin Biomech (Bristol). 2010 Feb;25(2):103-9. doi: 10.1016/j.clinbiomech.2009.10.013. Epub 2009 Nov 26.
Electrophysiological criteria that identify and characterize low back pain can lead to better understanding of the affliction and possibly aid in its treatment.
Nineteen male and 22 female subjects with chronic back pain, without lumbar radiculopathy; and 30 male and 33 female control subjects with no history of low back pain in the last 12 months, were recruited into the study. All subjects flexed, extended, laterally flexed, flexed anterolaterally and extended posterolaterally isometrically to 20% and 100% of their maximal voluntary contraction (MVC). Additionally, patients were asked to do these activities to their pain threshold levels and control subjects to 60% maximum voluntary contraction. Surface electromyograms (EMG) were recorded from lumbar erectores spinae, external obliques and rectus abdominis bilaterally. The electromyogram was subjected to magnitude, Fast Fourier Transform, and wavelet analyses. The median frequency and frequency bands were calculated with their power. The wavelet decomposition was done and a logistic discriminate analysis was carried out to classify patients and normal controls.
The normalized peak electromyograms of patients were significantly greater than controls (P<0.01). The muscle conduction velocity was not disturbed by pain. Significant differences were found in total power between patients and controls (P<0.01). The analysis correctly classified patients and controls 65% and 98% of the time, respectively at 20% MVC, 95.1% (patients) and 86.8% (controls) at pain threshold/60% MVC, and 74.3% (patients) and 86.4% (controls) at pain tolerance/MVC (P<0.05).
The surface electromyography can be used in discriminating chronic low back pain patients and controls. This would be an objective test over and above other subjective tests, such as pain provocation.
识别和描述下背痛的电生理标准有助于更好地理解这种疾病,并可能有助于其治疗。
招募了19名男性和22名女性慢性背痛患者,这些患者无腰椎神经根病;以及30名男性和33名女性对照受试者,他们在过去12个月内无下背痛病史。所有受试者进行等长收缩,分别以其最大自主收缩(MVC)的20%和100%进行前屈、后伸、侧屈、前外侧屈曲和后外侧伸展。此外,要求患者进行这些活动至疼痛阈值水平,对照受试者进行至最大自主收缩的60%。双侧从腰竖脊肌、腹外斜肌和腹直肌记录表面肌电图(EMG)。对肌电图进行幅度、快速傅里叶变换和小波分析。计算中位频率和频段及其功率。进行小波分解,并进行逻辑判别分析以对患者和正常对照进行分类。
患者的标准化肌电图峰值明显高于对照组(P<0.01)。肌肉传导速度不受疼痛影响。患者和对照组之间的总功率存在显著差异(P<0.01)。在20%MVC时,分析正确分类患者和对照组的时间分别为65%和98%;在疼痛阈值/60%MVC时,分别为95.1%(患者)和86.8%(对照组);在疼痛耐受/MVC时,分别为74.3%(患者)和86.4%(对照组)(P<0.05)。
表面肌电图可用于区分慢性下背痛患者和对照组。这将是一种超越其他主观测试(如疼痛激发试验)的客观测试。