Huupponen Eero, Saastamoinen Antti, Joutsen Atte, Virkkala Jussi, Alametsä Jarmo, Hasan Joel, Värri Alpo, Himanen Sari-Leena
Signal Processing Laboratory, Tampere University of Technology, Korkeakoulunkatu 1, FIN-33101, Tampere, Finland.
J Med Syst. 2005 Oct;29(5):527-38. doi: 10.1007/s10916-005-6109-1.
In the present work, mean frequencies of FFT amplitude spectra from six EEG derivations were used to provide a frontopolar, a central and an occipital sleep depth measure. Parameters quantifying the anteroposterior differences in these three sleep depth measures during the night were also developed. The method was applied to analysis of 30 all-night recordings from 15 healthy control subjects and 15 apnea patients. Control subjects showed larger differences in sleep depth between frontopolar and central positions than the apnea patients. The relatively reduced frontal sleep depth in apnea patients might reflect the disruption of the dynamic sleep process caused by apneas.
在本研究中,使用来自六个脑电图导联的快速傅里叶变换(FFT)幅度谱的平均频率来提供额极、中央和枕叶睡眠深度测量。还开发了量化夜间这三种睡眠深度测量中前后差异的参数。该方法应用于对15名健康对照受试者和15名呼吸暂停患者的30份整夜记录的分析。对照受试者额极和中央位置之间的睡眠深度差异比呼吸暂停患者更大。呼吸暂停患者额叶睡眠深度相对降低可能反映了呼吸暂停引起的动态睡眠过程的破坏。