Sleep is regulated autonomously with circadian behavior. The sleep disorders greatly impact major sleep disturbances in patients suffered from Parkinson’s disease (PD) and epilepsy affecting sleep at night and increased abnormality of muscles tones during NREM stage. The aim of this research is to quantify the dynamics of different sleep pathologies by applying threshold- dependent symbolic entropy. The threshold-dependent symbolic entropy is applied to distinguish the healthy subjects with sleep disorders such as narcolepsy, sleep behavior disorder (RBD), sleep disordered breathing (SDB), period leg movement (PLM), and nocturnal frontal lobe epilepsy (NFLE) subjects. At certain smaller threshold, the healthy and narcolepsy subjects exbibit higher NCSE values than other sleep disorders showing these subjects are more complex followed by SBD, NFLE, PLM and RDB respectively. To distinguish the healthy subjects from narcolepsy, the highest separation was obtained at threshold 550ms with P-value (3.69e-04), NFLE at threshold 550ms with P-value (2.36e-12), PLM at threshold 550ms with Pvalue (2.24e-06), RBD at threshold 550ms with P-value (8.87e-09) and SDB at threshold 550ms with P-value (0.0012). Likewise, the highest AUC was obtained as AUC=0.9688 to distinguish healthy subjects from NFLE, narcolepsy, PLM and SDB followed by RBD with AUC (0.8438).

睡眠由昼夜节律行为自主调节。睡眠障碍极大地影响患有帕金森病 (PD) 和癫痫症的患者的主要睡眠障碍，影响夜间睡眠，并在 NREM 阶段增加肌张力异常。本研究的目的是通过应用阈值相关符号熵来量化不同睡眠病理的动态。应用阈值依赖符号熵来区分具有睡眠障碍的健康受试者，例如发作性睡病、睡眠行为障碍 (RBD)、睡眠呼吸障碍 (SDB)、周期腿部运动 (PLM) 和夜间额叶癫痫 (NFLE) 受试者. 在某个较小的阈值下，健康和发作性睡病受试者比其他睡眠障碍表现出更高的 NCSE 值，表明这些受试者更复杂，其次是 SBD、NFLE、分别是 PLM 和 RDB。为了将健康受试者与发作性睡病区分开来，在阈值 550ms 处获得最高分离，P 值 (3.69e-04)，NFLE 在阈值 550ms 处获得，P 值 (2.36e-12)，PLM 在阈值 550ms 处获得，P值 (2.24) e-06)、阈值为 550 毫秒的 RBD 和 P 值 (8.87e-09) 和阈值为 550 毫秒的 SDB 和 P 值 (0.0012)。同样，获得最高 AUC 为 AUC=0.9688，以区分健康受试者与 NFLE、发作性睡病、PLM 和 SDB，其次是 RBD 和 AUC (0.8438)。