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Early detection of arrhythmia and effective treatment can prevent deaths caused by cardiovascular disease (CVD). In clinical practice, the diagnosis is made by checking the electrocardiogram (ECG) beat-by-beat, but this is usually time-consuming and laborious. In the paper, we propose an automatic ECG classification method based on Continuous Wavelet Transform (CWT) and Convolutional Neural Network (CNN). CWT is used to decompose ECG signals to obtain different time-frequency components, and CNN is used to extract features from the 2D-scalogram composed of the above time-frequency components. Considering the surrounding R peak interval (also called RR interval) is also useful for the diagnosis of arrhythmia, four RR interval features are extracted and combined with the CNN features to input into a fully connected layer for ECG classification. By testing in the MIT-BIH arrhythmia database, our method achieves an overall performance of 70.75%, 67.47%, 68.76%, and 98.74% for positive predictive value, sensitivity, F1-score, and accuracy, respectively. Compared with existing methods, the overall F1-score of our method is increased by 4.75~16.85%. Because our method is simple and highly accurate, it can potentially be used as a clinical auxiliary diagnostic tool.

In this work, chitosan (CS) decorated metronidazole (MTZ) microcapsules (CS@MTZ) were synthesized and used as a cross-linker for the preparation of a poly(vinyl alcohol) (PVA) injectable hydrogel by dynamic covalent bonding and ionic interaction through a 4-carboxyphenylboronic acid bridge. The use of MTZ microcapsules efficiently slowed down the release rate of the hydrophilic antibiotic from the hydrogel matrix. Besides, the hydrophobicity of the microcapsules endows the PVA@CS@MTZ hydrogel to be sticky to a substrate in wet conditions, under a suggested mechanism of evicting the water boundary layer on the substrate. The sustained release behavior endowed a prolonged bacteriostasis ability of the hydrogel formulation for up to 14 days in vitro, and the bioadhesive property as well as the injectability of the hydrogel benefited the topical delivery of MTZ in periodontal pockets and exhibited desirable antibacterial capacity in 1 week on the rat periodontitis model.

Aortic pulse wave velocity, calculated from pulse transit time (PTT), is often used as an indicator of arterial stiffness and suggested to be standardized for heart rate (HR). This study aimed to determine whether PTT obtained directly from radial arterial waveforms could be used to assess arterial stiffness and the effect of HR on it. Measurements of anthropometric parameters, blood pressure (BP) and radial PTT were taken in 266 apparently healthy adults (113 men and 153 women; age 18-78 years). BP and radial PTT were measured in a subgroup of 11 young subjects (seven men and four women, age 24-35 years) in a 3-month follow-up study, which aimed to investigate the effect of HR changes. Radial PTT was significantly higher in men compared with women (0.116±0.022 s compared with 0.103±0.031 s, Po0.001). It was inversely related to age in men and women (r¼À0.838 and r¼À0.804, respectively, Po0.01 for both). Multiple regression analysis showed that HR was a potent predictor of radial PTT in addition to age, sex and systolic BP. There was no significant change in radial PTT when HR ranged from 60 to 75 b.p.m. A significant decrease was found in radial PTT when HR was up to 80 b.p.m. (Po0.01). These findings indicate that the simple and easily obtainable radial PTT could be a useful index of arterial stiffness, and HR changes should be considered when it is up to 80 b.p.m.

BackgroundThis study evaluated the separate and combined associations of physical activity and obesity with blood lipids in Chinese adults with and without diabetes.MethodsData of 17,535 participants aged 18 to 78 years old were collected. Physical activity was categorized as inactive (low) or active (moderate or high) according to the International Physical Activity Questionnaire. Linear and logistic regression analyses were performed to investigate the associations of physical activity and obesity with lipid-related indices.ResultsCompared with physically active participants, inactive participants had higher triglyceride (TG) level, lower high-density lipoprotein cholesterol (HDL-C) level, and higher odds ratios for abnormal TG and HDL-C. Compared with non-obese participants, obese participants had higher levels of total cholesterol (TC), TG and low-density lipoprotein cholesterol (LDL-C), lower HDL-C level, and higher odds ratios for the four abnormal lipid indices. Inactive obese participants had highest levels of TC, TG and LDL-C, lowest HDL-C level, and highest odds ratios compared to the other groups. No significant associations were found between obesity and TC, LDL-C in patients with diabetes.ConclusionsIrrespective of diabetes, physical inactivity and obesity were associated with the presences of abnormal TG and HDL-C. Moreover, there were additive effects on blood lipids when physical inactivity and obesity co-occur.

BackgroundSleep is essential for normal and healthy living. Lack of good quality sleep affects physical, mental and emotional functions. Currently, the treatments of obesity-related sleep disorders focus more on suppressing sleep-related symptoms pharmaceutically and are often accompanied by side effects. Thus, there is urgent need for alternative ways to combat chronic sleep disorders. This study will investigate underlying mechanisms of the effects of exercise and diet intervention on obesity-related sleep disorders, the role of gut microbiota in relation to poor quality of sleep and day-time sleepiness, as well as the levels of hormones responsible for sleep-wake cycle regulation.Methods/designParticipants consist of 330 (target sample) Finnish men aged 30 to 65 years. Among them, we attempt to randomize 180 (target sample) with sleep disorders into exercise and diet intervention. After screening and physician examination, 101 men with sleep disorders are included and are randomly assigned into three groups: exercise (n = 33), diet (n = 35), and control (n = 33). In addition, we attempt to recruit a target number of 150 healthy men without sleep disorders as the reference group. The exercise group undergoes a six-month individualized progressive aerobic exercise program based on initial fitness level. The diet group follows a six month specific individualized diet program. The control group and reference group are asked to maintain their normal activity and diet during intervention. Measurements are taken before and after the intervention. Primary outcomes include objective sleep measurements by polysomnography and a home-based non-contact sleep monitoring system, and subjective sleep evaluation by questionnaires. Secondary outcome measures include anthropometry, body composition, fitness, sleep disorder-related lifestyle risk factors, composition of gut microbiota and adipose tissue metabolism, as well as specific hormone and neurotranmitter levels and inflammatory biomarkers from venous blood samples.DiscussionIt is expected that the improvement of sleep quality after exercise and diet intervention will be evident both in subjective and objective measures of quality of sleep. Additionally, the change of sleep quality induced by exercise and diet intervention is expected to be related to the changes in specific hormones and inflammatory biomarkers, and in the composition of gut microbiota.Trial registrationCurrent Controlled Trials ISRCTN77172005

Systemic lupus erythematosus (SLE) is an autoimmune disease characterized by chronic inflammation. Different studies have shown decreased bone mineral density (BMD) in patients with SLE. The objective of this study was to investigate the prevalence and possible risk factors of low BMD in untreated female patients with SLE in Chinese population. A total of 119 untreated female patients with SLE were included. BMD was measured at lumbar spine and at total hip by dual-energy X-ray absorptiometry. The associations between decreased BMD and demographic variables, clinical variables, and bone metabolism variables were analyzed. These SLE patients had the following characteristics: mean age was 32.6 ± 11.9 years, mean disease duration was 22.1 ± 34.5 months, and mean SLEDAI was 11.4 ± 5.4. Osteopenia was present in 31.1% of the patients and osteoporosis in 8.5%. A significant negative association between low density lipoprotein cholesterol (LDL-c) and BMD at the lumbar spine (correlation coefficient = −0.242; P = 0.023) and total hip (correlation coefficient = −0.259; P = 0.019) was shown. These results seem to indicate that increased LDL-c may be an important risk factor for low BMD at lumbar spine and total hip in untreated female SLE patients.

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