自动化干扰相分析在神经肌肉疾病中的应用价值

Values of automated interference pattern analysis in neuro-muscular diseases

目的探讨自动化干扰相分析（ＩＰＡ）在神经肌肉疾病中的诊断价值。方法应用 ＶｉｋｉｎｇⅣ肌电图仪中的ＩＰＡ方法对５６例神经肌肉疾病患者的肱二头肌进行检测。结果肌病组平均波幅减小，时间间隔数增加，Ｔ／Ａ值＞正常ｘ＋２ｓ，每秒转折数增加，诊断符合率为８４％。神经病变组的情况与前相反，诊断符合率为８０％。结论ＩＰＡ方法操作快，客观性强，可作为神经肌肉疾病的检查手段之一。

Objective To investigate the clinical significance of automated interference pattern analysis in neuro - muscular diseases. Method A"IPA" program in Viking IV EMG machine was used to test biceps brachii in 56 patients with neuro - muscular diseases. Parameters included turns/sec, mean amplitude, small turns internal and ratio of turns/amp.Result In myopathy, IPA shows increased turns/sec, small turns internal and ratio of turns/amp, and decreased mean amplitude. The diagnosis ratio was 84%. In neuropathy, the results were on the contrary. The ratio was 80%. Conclusion IPA was a fast and objective method, and can become on means of study of neuro - muscular diseases.