Institute of Control Sciences of the Russian Academy of Sciences, Moscow, Russia.
Electromyogr Clin Neurophysiol. 1996 Apr-May;36(3):187-92.
The authors work out a computer analysis method to investigate electrical activity of muscles (EMG). With four muscles (extensor carpi radialis longus and tibialis anterior of both right and left sides) integrated EMGs are introduced into the computer. EMG are detected and filtered the pass band from 0 to 15 Hz range, thus forming the envelope of EMG signals (EEMG). Spectral Analyses of 20 one-minute realizations of EEMG signals are conducted for each muscle. Diagnostic signs were obtained on the basis of a statistical treatment of the spectral parameters. Subsequent analysis of data obtained for 130 patients allowed to single out thereof the most informative signs. This signs were applied for studying 40 patients diagnosed with Parkinson's disease of different etiologies, clinical forms and stages. In a researched group, in 33 out 40 cases, clinical diagnosis coincided with computer one. In six cases, doctors corrected the diagnosis of the illness with diagnostic indicators. In one case, computer and clinical diagnosis did not coincide.
作者研发出一种计算机分析方法来研究肌肉的电活动（肌电图）。将四块肌肉（左右两侧的桡侧腕长伸肌和胫前肌）的积分肌电图输入计算机。检测肌电图并对0至15赫兹范围的通带进行滤波，从而形成肌电信号包络（EEMG）。对每块肌肉的20个一分钟时长的EEMG信号实现进行频谱分析。基于频谱参数的统计处理获得诊断指标。对130例患者的数据进行后续分析，从中筛选出最具信息价值的指标。这些指标被用于研究40例诊断为不同病因、临床类型和阶段帕金森病的患者。在研究组中，40例中有33例临床诊断与计算机诊断一致。6例中医生根据诊断指标修正了疾病诊断。1例中计算机诊断与临床诊断不一致。
