Sleep electroencephalogram (EEG) is an important index in diagnosing sleep disorders and related diseases. Manual sleep staging is time-consuming and often influenced by subjective factors. Existing automatic sleep staging methods have high complexity and a low accuracy rate. A sleep staging method based on support vector machines (SVM) and feature selection using single channel EEG single is proposed in this paper. Thirty-eight features were extracted from the single channel EEG signal. Then based on the feature selection method F-Score's definition, it was extended to multiclass with an added eliminate factor in order to find proper features, which were used as SVM classifier inputs. The eliminate factor was adopted to reduce the negative interaction of features to the result. Research on the F-Score with an added eliminate factor was further accomplished with the data from a standard open source database and the results were compared with none feature selection and standard F-Score feature selection. The results showed that the present method could effectively improve the sleep staging accuracy and reduce the computation time.
The peak period of cardiovascular disease (CVD) is around the time of awakening in the morning, which may be related to the surge of sympathetic activity at the end of nocturnal sleep. This paper chose 140 participants as study object, 70 of which had occurred CVD events while the rest hadn’t during a two-year follow-up period. A two-layer model was proposed to investigate whether hypnopompic heart rate variability (HRV) was informative to distinguish these two types of participants. In the proposed model, the extreme gradient boosting algorithm (XGBoost) was used to construct a classifier in the first layer. By evaluating the feature importance of the classifier, those features with larger importance were fed into the second layer to construct the final classifier. Three machine learning algorithms, i.e., XGBoost, random forest and support vector machine were employed and compared in the second layer to find out which one can achieve the highest performance. The results showed that, with the analysis of hypnopompic HRV, the XGBoost+XGBoost model achieved the best performance with an accuracy of 84.3%. Compared with conventional time-domain and frequency-domain features, those features derived from nonlinear dynamic analysis were more important to the model. Especially, modified permutation entropy at scale 1 and sample entropy at scale 3 were relatively important. This study might have significance for the prevention and diagnosis of CVD, as well as for the design of CVD-risk assessment system.
The incidence of perioperative sleep disorders in patients with cervical spondylosis is high, which affects the physiological and psychological rehabilitation effect of patients after surgery. The expert consensus (preliminary draft) was prepared by summarizing expert experience and recommendations. After expert review and revision, the consensus was formed. The consensus was developed based on existing evidence-based medical evidence and expert clinical experience, which is scientific and practical and can provide a basis for clinical medical personnel to prevent and treat perioperative sleep disorders in patients with cervical spondylosis.
Sleep disorder is related to many comorbidities, such as diabetes, obesity, cardiovascular diseases, and hypertension. Because of its increasing prevalence rate, it has become a global problem that seriously threatens people’s health. Various forms of sleep disorder can cause increased insulin resistance and/or decreased sensitivity, thus affecting the occurrence, development and prognosis of diabetes. However, sleep health has not been paid attention to in recent years. Therefore, this article summarizes the findings of the correlation between sleep disorder and diabetes mellitus in recent years, by elaborating the relationship between various types of sleep disorder (including sleep apnea syndrome) and diabetes mellitus, as well as their mechanisms and intervention measures, in order to enhance the attention of clinical workers to sleep health, and to provide basis for reducing the risk of diabetes.
In order to guide diagnosis and treatment in children with sleep disordered breathing aged 1 to 23 months, the European Respiratory Society(ERS) summarized the evidence and released the European Respiratory Society statement based on clinical experience in 2016. This article aims to interpret the ERS statement. Children with apparent upper airway obstruction during wakefulness and those with SDB symptoms and complex conditions requires treatment. Adenotonsillectomy and continuous positive airway pressure are the most frequently used treatment measures along with interventions targeting specific conditions. Obstructive SDB in children aged 1 to 23 months is a multifactorial disorder that requires objective assessment and treatment of all underlying abnormalities.
Objective To investigate the implication of oxidation protein product ( advanced oxidation protein product, AOPP) , an index of oxidative stress in obstructive sleep apnea-hypopnea syndrome ( OSAHS) . Methods 47 patients with OSAHS and 48 normal controls were enrolled. The concentration of AOPP was measured by spextrophotometry after ameliorated, while superoxide ( SOD) , malonaldehyde ( MDA) , glutathione peroxidase ( GSH-PX) in morning blood samples were detected by Xanthine oxidase test. Results ( 1) Plasma AOPP and MDA were significantly elevated in OSAHS compared with those in control group ( both P lt;0. 01) . Plasma SOD and GSH-PX were significantly lower in OSAHS compared with those in control group ( both P lt;0. 01) . There were significant differences in the plasma AOPP, MDA, SODand GSH-PX among different severity of OSAHS ( all P lt; 0. 01) . Plasma AOPP and MDA were increased and SOD and GSH-PX were gradually decreased with the progression of OSAHS. ( 2) Plasma AOPP correlated well with MDA, SOD and GSH-PX, moreover, AOPP was positively correlated with apnea hyponea index or lowest oxygen saturation. Conclusion AOPP is an alternative index reflecting both oxidative streess and tissue injury in patients with OSAHS.
Obstructive sleep apnea hypopnea syndrome (OSAHS) can affect the growth and development of minors. Although the gold standard for OSAHS diagnosis is an overnight polysomnography, its clinical application is limited due to the high requirements for equipment and environmental conditions. Body shape indicators can reflect the accumulation of fat in specific parts of the body. In recent years, body shape indicators (body mass index, neck circumference, waist circumference, waist to hip ratio, waist to height ratio, neck circumference to height ratio) have been increasingly used in the evaluation of minor OSAHS. This article will review the application of the above body shape indicators in the evaluation of minor OSAHS, aiming to provide a basis for better use of these indicators in the diagnosis and treatment of minor OSAHS.
ObjectiveTo observe the impact of obstructive sleep apnea-hyponea syndrome (OSAHS) on the severity of pulmonary thromboembolism (PTE) and its treatment strategies. MethodsPTE patients hospitalized in our department between January 2006 and December 2012 were screened for this study, including 16 patients with OSAHS and 20 patients without OSAHS, and the difference in clinical characteristics such as arterial blood gas, apnea-hypopnea index, lowest pulse oxygen saturation (LSpO2) and treatment methods were analyzed and compared between the two groups. ResultsAs compared to PTE patients without OSAHS, the age of patients was lower[(53.4±12.1), (64.5±9.8) years; P=0.005], while body mass index[(29.3±2.2), (26.1±3.3) kg/m2, P=0.002] and smoking index (150±24, 101±18; P<0.001) were higher in PTE patients with OSAHS. Additionally, significantly lower LSpO2[(71.7±8.3), (79.4±7.1) mm Hg (1 mm Hg=0.133 kPa); P=0.005] and more lung segments (8±3, 5±2; P=0.001) were involved in PTE patients with OSAHS. In this cohort, all patients received anticoagulation and/or thrombolysis treatment, but the rate of continuous positive airway pressure (CPAP) ventilation application was significantly higher in PTE patients with OSAHS. ConclusionPTE patients with OSAHS have relatively lower age but serious condition, and both anticoagulation and CPAP should be used in the clinical treatment.
ObjectiveTo analyze the the characteristics of pulse oximetry (SpO2) curve changes in patients with obstructive sleep apnea (OSA), hypoxic parameters and to explore the difference and connection between obstructive apnea (OA) events and hypopnea (Hyp) events, evaluate the impact of different types of obstructive respiratory events on hypoxia, and provide a theoretical basis for exploration of hypoxic differences in each type of respiratory events and construction of prediction models for respiratory event types in the future. MethodsSixty patients with OSA diagnosed by polysomnography (PSG) were selected for retrospective analysis, and all respiratory events with oxygen drop in the recorded data overnight were divided into OA group (5972) according to the type of events and Hyp group (4110), recorded and scored events were exported from the PSG software as comma-separated variable (.csv) files, which were then imported and analyzed using the in-house built Matlab software. Propensity score matching was performed on the duration of respiratory events and whether they were accompanied by arousal in the two groups, and minimum oxygen saturation of events (e-minSpO2), the depth of desaturation (ΔSpO2), the duration of desaturation and resaturation (DSpO2), the duration of desaturation (d.DSpO2), duration of resaturation (r.DSpO2), duration of SpO2<90% (T90), duration of SpO2<90% during desaturation (d.T90), duration of SpO2<90% during resaturation (r.T90), area under the curve of SpO2<90% (ST90), area under the curve of SpO2<90% during desaturation (d.ST90), area under the curve of SpO2<90% during resaturation (r.ST90), oxygen desaturation rate (ODR) and oxygen resaturation rate (ORR), a total of 13 hypoxic parameters differences. ResultsVarious hypoxic parameters showed that more severe SpO2 desaturation in severe OSA patients, compared with mild and moderate OSA patients (P<0.05); There were statistically significant differences in the respiratory events duration and whether accompanied by arousal between the Hyp group and OA group (P<0.05), and the respiratory events duration and whether accompanied by arousal were significantly correlated with most hypoxic parameters; After accounting for respiratory events duration and whether accompanied by arousal by propensity score matching, compared with the Hyp group, e-minSpO2 was significantly lower in the OA group, ΔSpO2, d.DSpO2, r.DSpO2, ODR, ORR, T90, d.T90, r.T90, ST90, d.ST90, r.ST90 were significantly increased (P<0.05). ConclusionsDue to pathophysiological differences, all hypoxic parameters suggest that OA events will result in a more severe desaturation than Hyp events. Clinical assessment of OSA severity should not equate OA with Hyp events, which may cause more damage to the organism, establishing a basis for applying nocturnal SpO2 to automatically identify the type of respiratory event.
OBJECTIVE: To study the effects of jaw advancement in treating micromandibular deformity associated with obstructive sleep apnea syndrome (OSAS) by ramus osteotomy and genioplasty. METHODS: From April 1998 to February 2002, 12 patients with micromandibular deformity associated with OSAS (aged 14-36 years, 7 females and 5 males) were treated. Invert "L" shape ramus osteotomy and inverted replantation of posterior segment of ramus were performed to reconstruct the TMJ with the jaw advancement and genioplasty at the same time in 7 cases; mandibular angle osteotomy, bone grafts and genioplasty in 3 cases; and the jaw advancement by ramus sagittal osteotomy and genioplasty in 2 cases of the first branchial arch syndrome. RESULTS: The follow-up period was 6 months to 4 years. All the patients gained good appearance and had the distance of opening movement over 3.0 cm. Micromandible and facial asymmetries were corrected satisfactorily. The ratio of SaO2 was ascended from 82%-92% (preoperation) to 97%-99% (postoperation). OSAS was relieved. CONCLUSION: The jaw advancement by ramus osteotomy and genioplasty for treating micromandibular deformity associated with OSAS can correct the maxillofacial deformities and enlarge the upper airway space to relieve OSAS. This method has achieved satisfactory result.