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Synchronisation and coupling analysis: Applied cardiovascular physics in sleep medicine

机译:同步和耦合分析:心血管医学在睡眠医学中的应用

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Sleep is a physiological process with an internal program of a number of well defined sleep stages and intermediate wakefulness periods. The sleep stages modulate the autonomous nervous system and thereby the sleep stages are accompanied by different regulation regimes for the cardiovascular and respiratory system. The differences in regulation can be distinguished by new techniques of cardiovascular physics. The number of patients suffering from sleep disorders increases unproportionally with the increase of the human population and aging, leading to very high expenses in the public health system. Therefore, the challenge of cardiovascular physics is to develop highly-sophisticated methods which are able to, on the one hand, supplement and replace expensive medical devices and, on the other hand, improve the medical diagnostics with decreasing the patient's risk. Methods of cardiovascular physics are used to analyze heart rate, blood pressure and respiration to detect changes of the autonomous nervous system in different diseases. Data driven modeling analysis, synchronization and coupling analysis and their applications to biosignals in healthy subjects and patients with different sleep disorders are presented. Newly derived methods of cardiovascular physics can help to find indicators for these health risks.
机译:睡眠是一个生理过程,其内部程序包含许多明确定义的睡眠阶段和中间的清醒期。睡眠阶段调节自主神经系统,因此睡眠阶段伴随着针对心血管和呼吸系统的不同调节机制。调节的差异可以通过心血管物理学的新技术来区分。睡眠障碍的患者人数随着人口的增长和老龄化的增加而成比例地增加,导致公共卫生系统的费用很高。因此,心血管物理学的挑战是开发高度复杂的方法,其能够一方面补充和替换昂贵的医疗设备,另一方面能够在降低患者风险的情况下改善医学诊断。使用心血管物理学方法分析心率,血压和呼吸,以检测不同疾病中自主神经系统的变化。介绍了数据驱动的建模分析,同步和耦合分析及其在健康受试者和不同睡眠障碍患者中生物信号的应用。最新衍生的心血管物理学方法可以帮助找到这些健康风险的指标。

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