双相情感障碍患者的睡眠居家监测能否预测抑郁发作？
Can home-monitoring of sleep predict depressive episodes in bipolar patients?
作者信息
Migliorini M, Mariani S, Bertschy G, Kosel M, Bianchi A M
出版信息
Annu Int Conf IEEE Eng Med Biol Soc. 2015 Aug;2015:2215-8. doi: 10.1109/EMBC.2015.7318831.
The aim of this study is the evaluation of the autonomic regulations during depressive stages in bipolar patients in order to test new quantitative and objective measures to detect such events. A sensorized T-shirt was used to record ECG signal and body movements during the night, from which HRV data and sleep macrostructure were estimated and analyzed. 9 out of 20 features extracted resulted to be significant (p<;0.05) in discriminating among depressive and non-depressive states. Such features are representation of HRV dynamics in both linear and non-linear domain and parameters linked to sleep modulations.
本研究的目的是评估双相情感障碍患者抑郁阶段的自主调节功能，以测试检测此类事件的新的定量和客观方法。使用一件装有传感器的T恤在夜间记录心电图信号和身体运动，据此估计和分析心率变异性（HRV）数据及睡眠宏观结构。在提取的20个特征中，有9个在区分抑郁状态和非抑郁状态时具有显著性（p<0.05）。这些特征代表了线性和非线性域中的HRV动态以及与睡眠调节相关的参数。
Zotero 插件