基于心电信号的心肺耦合技术在睡眠相关疾病中的应用

Application of electrocardiogram-based cardiopulmonary coupling technique in sleep-related diseases

睡眠问题已成为当今社会普遍存在的健康问题,对于睡眠障碍的研究已成为热点。多导睡眠监测(polysomnography,PSG)是睡眠研究中最常用的睡眠监测方法,但操作过程繁琐复杂,容易造成"首夜效应",从而影响受试者的依从性和监测结果的可靠性。2005年基于心电信号的心肺耦合(cardiopulmonary coupling,CPC)技术首次用于睡眠评估,现已广泛用于睡眠呼吸暂停综合征、睡眠呼吸紊乱、失眠、抑郁症等睡眠相关疾病患者以及健康人群的睡眠监测与分析,一定程度上弥补了传统PSG技术的不足。CPC具有操作简化、便于随访、信息有效、测量敏感的优势,但也存在适用人群、功能和使用等方面的限制。未来可通过CPC算法的改进或发展与神经的跨系统整合来提高CPC的性能。

Sleep problems have become a common health problem nowadays, and researches on sleep disorders have become a hot topic. Polysomnography（PSG） is the most commonly used method of sleep monitoring in sleep research, but its operation process is cumbersome and complicated, which is likely to cause ＂first night effect＂, affecting the compliance of the subjects and the reliability of the monitoring results. In 2005, the cardiopulmonary coupling（CPC） technique based on electrocardiogram signals was used for sleep assessment for the first time, and now it has been widely used in sleep monitoring and analysis of patients with sleep apnea syndrome, sleep disorders, insomnia, depression or other sleep-related diseases and the healthy people, to some extent making up for the lack of traditional PSG technology. It has the advantages of simplifying the operation and improving the sensitivity of the information effectively. However, CPC technique also has the limitations in target crowd, function and use, which can be improved by the developments of CPC algorithm and the cross-system integration of nerve in the future.