2) sleep EEG
睡眠脑电
1.
Autoregressive Model Order Property for Sleep EEG;
睡眠脑电的自回归模型阶数特性
2.
The study of the nonlinear dynamics analysis of sleep EEG is analyzed in this paper,we calculated the largest Lyapunov exponents and correlation dimension of EEG in the different sleep stages,and discussed their trends,then come to a conclusion that the sleep stages correspond to significantly different correlation dimensions.
对睡眠脑电信号进行了非线性动力学分析。
3.
The value of correlation dimension can reflect sleep stages after analyzing and simulating the sleep EEG,and then simulation forecast for NREM sleep stage was made which accorded with actual result.
以长程睡眠脑电数据分析和仿真为例,分析结果表明关联维的高低能够反映出睡眠的阶段,据此对非快速眼动睡眠期的仿真预测与实际结果相符。
3) Sleep staging
睡眠分期
1.
Analysis of sleep staging by Time-Window complexity sequence of EEG;
另外本文采用ICA、小波变换等方法对脑电进行预处理 ,实验表明它们能有效地去除脑电中的一些生理干扰 ,有利于提高复杂度算法在睡眠分期应用中的精确
4) sleep stage
睡眠分期
1.
EEG and ECG Based Sleep Stage Analysis;
基于脑电心电数据融合的睡眠分期
2.
This study is purposed to distinguish sleep stage based on heart rate variability for sleep apnea hypopnea syndrome(SAHS) patients.
以经基于心率变异性的睡眠分期大都是针对健康人进行的,拟利用心率变异性分析睡眠呼吸暂停低通气综合症(SAHS)病人的睡眠结构。
5) sleep stages
睡眠分期
1.
Purposes:In this study,measurements are simultaneous with sleep EEG,EMG,EOG,and heart rate variability to find the correlation between indicators of sleep stages and sleep quality index and heart rate variability and to give targeted recommendations for the athletes about the sleep problems.
研究目的通过同步测量睡眠脑电、肌电和眼电以及心率变异,来找出睡眠分期指标以及睡眠质量指标和心率变异指标之间的关联性,从而用心率变异指标来反应睡眠质量,更好的对运动员的睡眠问题给出有针对性的建议。
2.
Sample entropy was used to extract features from Boston Beth Israel sleep EEG data,and sleep stages were investigated.
运用样本熵从波士顿Beth Israel睡眠脑电实验数据中提取睡眠特征值,对睡眠分期进行研究。
6) Slow wave sleep EEG stage 2
慢波睡眠脑电2期
补充资料：电睡眠疗法
电睡眠疗法
利用微量脉冲电流，通过脑部产生睡眠的一种治疗方法。用于神经衰弱、失眠、早期高血压等的治疗。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条