To Score or Not to Score? A look at the distinguishing power of micro EEG analysis on an annotated sample of PSG studies conducted in an HIV cohort.

To Score or Not to Score? A look at the distinguishing power of micro EEG analysis on an annotated sample of PSG studies conducted in an HIV cohort.
复制标题

得分还是不得分?

DOI:
10.1109/embc.2015.7319912
复制
发表时间:
2015
期刊:
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
影响因子:
--
通讯作者:
Sarma,SrideviV
Sarma,SrideviV
中科院分区:
--
文献类型:
--
作者:
Kang,YuMin;Gunnarsdottir,KristinM;Kerr,MatthewSD;Salas,RachelME;Ewen,Joshua;Allen,Richard;Gamaldo,Charlene;Sarma,SrideviV

文献摘要

相似文献

在这项研究中,我们使用匹兹堡睡眠质量指数将受试者分为两组,睡眠好的人和睡眠不好的人。我们计算了睡眠行为(宏观睡眠结构)特征和睡眠光谱(微观睡眠结构)特征,以观察注释的EEG数据是否可以用于以更定量的方式区分好睡眠者和坏睡眠者。具体而言,宏观睡眠特征由睡眠阶段定义,包括睡眠过渡、每个睡眠阶段花费的时间百分比和每个睡眠阶段花费的时间持续时间。通过计算所有通道和所有频率的总功率以及每个睡眠阶段和不同频带的平均功率,从EEG信号的功率谱中获得微睡眠特征。我们发现,虽然评分独立的微观特征是显着不同的两组之间,宏观特征是不能显着区分这两组。从评分文件计算的宏观特征不能拾取EEG信号中的预期差异的事实提出了关于EEG信号的人类评分在评估睡眠质量中是否实用的问题。
In this study, we used the Pittsburgh Sleep Quality Index to divide the subjects into two groups, good sleepers and bad sleepers. We computed sleep behavioral (macro-sleep architectural) features and sleep spectral (micro-sleep architectural) features in order to observe if the annotated EEG data can be used to distinguish between good and bad sleepers in a more quantitative manner. Specifically, the macro-sleep features were defined by sleep stages and included sleep transitions, percentage of time spent in each sleep stage, and duration of time spent in each sleep stage. The micro-sleep features were obtained from the power spectrum of the EEG signals by computing the total power across all channels and all frequencies, as well as the average power in each sleep stage and across different frequency bands. We found that while the scoring-independent micro features are significantly different between the two groups, the macro features are not able to significantly distinguish the two groups. The fact that the macro features computed from the scoring files cannot pick up the expected difference in the EEG signals raises the question as to whether human scoring of EEG signals is practical in assessing sleep quality.