Sleep-related hypermotor epilepsy （SHE） is a rare type of epilepsy with a prevalence rate of approximately 1.8/100 000. This disease mainly manifests as complex motor behaviors during non-rapid eye movement sleep， such as leg kicking， arm waving， and sitting up. Since such symptoms are similar to non-epileptic disorders such as night terrors and sleepwalking and abnormal discharges may not be observed on electroencephalography， the diagnosis of SHE is quite challenging. Currently， there is still a lack of evidence from large-scale randomized controlled studies to support pharmacological treatment strategies for SHE， and related data in China remain scarce. This article reports a case of SHE， in order to provide a clinical reference for the diagnosis and medication treatment of this disease.
Polysomnography

Objective To investigate the sleep architecture of sleep related bruxism（SB）in adults and the sleep architecture of SB comorbid with obstructive sleep apnea hypopnea syndrome（OSAHS），as well as their correlation with age and other factors. Methods A total of 51 subjects with SB and 67 controls were included in this study to analyze the sleep architecture of SB and compare the sleep architecture of SB comorbid with different severities of OSAHS. Results Compared with the control group，the SB group had a younger age，increases in N1（%TST）and N2（%TST），a reduction in N3（%TST），and an increase in arousal index. The SB group was divided into non-OSAHS group（group 1），mild OSAHS group（group 2），and moderate-to-severe OSAHS group（group 3）. Group 1 had a younger age than group 2 and group 3，and group 3 had increases in body mass index（BMI），N1（%TST），oxygen desaturation index（ODI），and arousal index and a reduction in N3（%TST）. The Spearman's rank correlation analysis showed that BMI，N1（%TST），arousal index，and ODI increased with the increase in apnea-hypopnea index（AHI），while N3（%TST）decreased with the increase in AHI. The binary logistic regression analysis showed that SB was negatively correlated with age and was positively correlated with arousal index. Conclusion SB may affect sleep architecture by increasing light sleep，reducing deep sleep，and increasing the number of awakenings. There are changes in sleep architecture in case of SB comorbid with different severities of OSAHS. SB is negatively correlated with age and is positively correlated with arousal index.
Polysomnography

Objective To investigate the differences in sleep structure and executive function between the patients with insomnia disorder and the individuals with normal sleep， as well as the potential mechanism of executive dysfunction in patients with insomnia disorder.Methods The patients with insomnia disorder who attended the outpatient service of Sleep Medicine Center， Chongqing Western Hospital， from March 2022 to December 2023 were enrolled as insomnia disorder group， and the individuals with normal sleep were enrolled as control group. All subjects were evaluated using Hamilton Anxiety Scale （HAMA）， Hamilton Depression Scale （HAMD）， polysomnography， and Stroop Color-Word Test. The two groups were compared in terms of anxiety， depression， sleep parameters （sleep latency， total sleep time， sleep efficiency， NREM1 and its percentage， NREM2 and its percentage， NREM3 and its percentage，as well as REM and its percentage）， executive function （time consumption and correct number of Stroop A，Stroop B，Stroop C， and interference test）， and a correlation analysis was also performed.Results There were 51 subjects in the insomnia disorder group and 25 subjects in the control group. Compared with the control group， the insomnia disorder group had significantly higher HAMA score， HAMD score， sleep latency， percentage of NREM1， and percentage of NREM2 （P<0.05）. Compared with the control group， the insomnia disorder group had significantly lower total sleep time， sleep efficiency， NREM3 duration， REM duration， and percentage of NREM3 （P<0.05）. Compared with the control group， the insomnia disorder group had significantly higher time consumption of Stroop Color-Word Test C and interference test （P<0.05）. In the insomnia disorder group， time consumption of Stroop C and interference test was negatively correlated with NREM3 duration and the percentage of NREM3 and was positively correlated with NREM2 duration and the percentage of NREM2， and time consumption of Stroop C was positively correlated with the percentage of NREM1（P<0.05）.Conclusion Patients with insomnia disorder tend to have a long sleep latency， a short total sleep time， low sleep efficiency，and reductions in deep sleep and executive function， and the reduction in executive function is associated with the reduction in slow-wave sleep.
Polysomnography

Objective: The aim of this study was to determine the comorbid sleep disorders on Polysomnography (PSG) of patients complaining of insomnia symptoms. Methodology: This is a retrospective study among patients who underwent diagnostic and split-night polysomnography from April 2014 to February 2019. Those who had at least one of the following insomnia symptoms of difficulty initiating sleep, difficulty maintaining sleep and early morning awakening with or without a history of sleep aide use were identified as patients with insomnia. Polysomnography sleep parameters and outcome were tabulated and statistical analysis was done using SPSS v 20.0. Results: Out of the 302 patients who were included in the study, 34.4% of subjects had a family history of sleep disorder and 70.4% had a history of sleep aide use. Among the medical comorbidities, 47.7% of the subjects were diagnosed with hypertension while 10.65% were diagnosed with psychiatric disorder. Most of the patients complained of both difficulty initiating sleep and early morning awakening. PSG sleep parameters showed that patients did not experience excessive daytime sleepiness or delayed sleep latency. On the other hand, poor sleep efficiency could be due to increased arousal index. Half of the patients turned out to have severe obstructive sleep apnea (52%) while 2.3% of the patients had periodic limb movement disorder. Among those diagnosed with severe OSA, 53.3% had a history of sleep aide use. Conclusion The study showed the importance of screening patients with insomnia for underlying comorbid sleep disorders. The American Academy of Sleep Medicine (AASM) treatment guidelines for chronic insomnia emphasized the need to have a high index of suspicion for this population in order to recommend diagnostic procedures such as polysomnography. Diagnosing a patient with insomnia to have an underlying sleep apnea and/or periodic limb movement disorder would change the course of management among patients with chronic insomnia and eventually avoid prescribing medications that could actually worsen the patient’s condition.
Sleep Initiation and Maintenance Disorders ; Sleep Wake Disorders ; Polysomnography ; Comorbidity

Polysomnography (PSG) monitoring is an important method for clinical diagnosis of diseases such as insomnia, apnea and so on. In order to solve the problem of time-consuming and energy-consuming sleep stage staging of sleep disorder patients using manual frame-by-frame visual judgment PSG, this study proposed a deep learning algorithm model combining convolutional neural networks (CNN) and bidirectional gate recurrent neural networks (Bi GRU). A dynamic sparse self-attention mechanism was designed to solve the problem that gated recurrent neural networks (GRU) is difficult to obtain accurate vector representation of long-distance information. This study collected 143 overnight PSG data of patients from Shanghai Mental Health Center with sleep disorders, which were combined with 153 overnight PSG data of patients from the open-source dataset, and selected 9 electrophysiological channel signals including 6 electroencephalogram (EEG) signal channels, 2 electrooculogram (EOG) signal channels and a single mandibular electromyogram (EMG) signal channel. These data were used for model training, testing and evaluation. After cross validation, the accuracy was (84.0±2.0)%, and Cohen's kappa value was 0.77±0.50. It showed better performance than the Cohen's kappa value of physician score of 0.75±0.11. The experimental results show that the algorithm model in this paper has a high staging effect in different populations and is widely applicable. It is of great significance to assist clinicians in rapid and large-scale PSG sleep automatic staging.
Humans ; Polysomnography ; China ; Sleep Stages ; Sleep ; Algorithms

Objective:To explore the relationship between sleep status and the disease in children with recurrent vertigo（RVC） by analyzing the objective sleep condition of children with recurrent vertigo. Methods:According to the diagnostic criteria of RVC, 50 children with RVC and 20 normal controls without RVC were selected. According to the vertigo questionnaire score, the RVC group was divided into mild, moderate and severe groups according to severity. Continuous polysomnography（PSG） was performed for all participants, and SPSS 25.0 statistical software was used to analyze the monitoring results. Results:①There were significant differences in sleep time of each period, total sleep time and sleep efficiency between RVC group and control group（P<0.05）, but there was no significant difference in sleep latency（P>0.05）. The specific manifestations were that the proportion of sleep time in N1 and N2 phases increased, the proportion of sleep time in N3 and REM phases decreased, the total sleep time and sleep efficiency decreased in RVC group. ②The abnormal rate of sleep apnea hypopnea index, that is, the proportion of AHI≥5 times/h and the abnormal rate of lowest blood oxygen saturation in RVC group were higher than those in normal control group. There was significant difference between the two groups（P<0.05）. ③There were significant differences in the proportion of AHI≥5 times/h and lowest SpO2 among mild group, moderate group and severe group（P<0.05）. ④There was no significant correlation between the degree of vertigo and the abnormal rate of AHI in children with RVC, but there was a negative correlation between the degree of vertigo and the abnormal rate of lowest SpO2 in children with RVC. Conclusion:Children with RVC are often accompanied by sleep disorders, clinicians should pay attention to both the symptoms of vertigo and sleep condition in children. Polysomnography is non-invasive and operable, providing a new idea to the auxiliary examination of RVC in children. It is of certain clinical significance for the comprehensive treatment of children with RVC to actively improve vertigo symptoms and pay attention to improving sleep quality.
Humans ; Child ; Polysomnography ; Sleep Apnea, Obstructive/diagnosis* ; Sleep ; Dizziness ; Vertigo/diagnosis*

Sleep apnea causes cardiac arrest, sleep rhythm disorders, nocturnal hypoxia and abnormal blood pressure fluctuations in patients, which eventually lead to nocturnal target organ damage in hypertensive patients. The incidence of obstructive sleep apnea hypopnea syndrome (OSAHS) is extremely high, which seriously affects the physical and mental health of patients. This study attempts to extract features associated with OSAHS from 24-hour ambulatory blood pressure data and identify OSAHS by machine learning models for the differential diagnosis of this disease. The study data were obtained from ambulatory blood pressure examination data of 339 patients collected in outpatient clinics of the Chinese PLA General Hospital from December 2018 to December 2019, including 115 patients with OSAHS diagnosed by polysomnography (PSG) and 224 patients with non-OSAHS. Based on the characteristics of clinical changes of blood pressure in OSAHS patients, feature extraction rules were defined and algorithms were developed to extract features, while logistic regression and lightGBM models were then used to classify and predict the disease. The results showed that the identification accuracy of the lightGBM model trained in this study was 80.0%, precision was 82.9%, recall was 72.5%, and the area under the working characteristic curve (AUC) of the subjects was 0.906. The defined ambulatory blood pressure features could be effectively used for identifying OSAHS. This study provides a new idea and method for OSAHS screening.
Blood Pressure ; Blood Pressure Monitoring, Ambulatory ; Humans ; Hypertension/complications* ; Polysomnography ; Sleep Apnea, Obstructive/diagnosis*

Humans ; Air Pollutants ; Sleep Apnea, Obstructive ; Polysomnography ; Sleep ; Pulmonary Disease, Chronic Obstructive

Sleep-related breathing disorder (SRBD) is a sleep disease with high incidence and many complications. However, patients are often unaware of their sickness. Therefore, SRBD harms health seriously. At present, home SRBD monitoring equipment is a popular research topic to help people get aware of their health conditions. This article fully compares recent state-of-art research results about home SRBD monitors to clarify the advantages and limitations of various sensing techniques. Furthermore, the direction of future research and commercialization is pointed out. According to the system design, novel home SRBD monitors can be divided into two types: wearable and unconstrained. The two types of monitors have their own advantages and disadvantages. The wearable devices are simple and portable, but they are not comfortable and durable enough. Meanwhile, the unconstrained devices are more unobtrusive and comfortable, but the supporting algorithms are complex to develop. At present, researches are mainly focused on system design and performance evaluation, while high performance algorithm and large-scale clinical trial need further research. This article can help researchers understand state-of-art research progresses on SRBD monitoring quickly and comprehensively and inspire their research and innovation ideas. Additionally, this article also summarizes the existing commercial sleep respiratory monitors, so as to promote the commercialization of novel home SRBD monitors that are still under research.
Humans ; Polysomnography ; Sleep ; Sleep Apnea Syndromes/diagnosis* ; Sleep Wake Disorders

Atherosclerosis ; Humans ; Polysomnography ; Sleep Apnea, Obstructive/complications*