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利用微型计算机对七名健康人和一名帕金森氏综合症病人的睡眠脑电图的能量一频率分布曲线进行分析,发现帕金森症患者的睡眠各期能量与正常组相比有较大的差异.由此,我们提出睡眠脑电波的能量和幅度大小有可能作为临床诊断的两项指标.
Using the microcomputer to analyze the energy-frequency distribution curve of sleep EEG in seven healthy and one Parkinson’s disease patients, we found that the sleep energy of patients with Parkinson’s disease was larger than that of the normal group Thus, we propose that the energy and magnitude of sleep brain waves may serve as two indicators of clinical diagnosis.