ABSTRACT
The diagnosis of hypertrophic cardiomyopathy (HCM) is of great significance for the early risk classification of sudden cardiac death and the screening of family genetic diseases. This research proposed a HCM automatic detection method based on convolution neural network (CNN) model, using single-lead electrocardiogram (ECG) signal as the research object. Firstly, the R-wave peak locations of single-lead ECG signal were determined, followed by the ECG signal segmentation and resample in units of heart beats, then a CNN model was built to automatically extract the deep features in the ECG signal and perform automatic classification and HCM detection. The experimental data is derived from 108 ECG records extracted from three public databases provided by PhysioNet, the database established in this research consists of 14,459 heartbeats, and each heartbeat contains 128 sampling points. The results revealed that the optimized CNN model could effectively detect HCM, the accuracy, sensitivity and specificity were 95.98%, 98.03% and 95.79% respectively. In this research, the deep learning method was introduced for the analysis of single-lead ECG of HCM patients, which could not only overcome the technical limitations of conventional detection methods based on multi-lead ECG, but also has important application value for assisting doctor in fast and convenient large-scale HCM preliminary screening.
Subject(s)
Humans , Algorithms , Cardiomyopathy, Hypertrophic/diagnosis , Databases, Factual , Electrocardiography , Heart Rate , Neural Networks, ComputerABSTRACT
Objective To research the clinical effect of audiovisual dispersion combined with atropine for preventing blood vessel vagus reflex (VVR) in the patients with procedure for prolapse and hemorrhoids (PPH).Methods One hundred and twenty six patients undergoing PPH in this hospital from January 2015 to January 2017 were numbered according to the order of admission and then divided into 2 groups according to parity number.The two groups were intraoperative given atropine to prevent VVR,the observation group additionally conducted the audiovisual dispersion intervention.The prevention effects were compared between the two groups.Results There was 1 case (1.59％) of VVR in the observation group,which was lower than 7 cases (11.11％) in the control group,and the difference was statistically significant (P＜0.05).The mean arterial pressure (MAP),heart rate (HR) level and anxiety score had no statistically significant difference between the two groups before entering the operating room (T1)(P＞0.05).The levels of MAP and HR at the time PPH was fired in the control group were decreased compared with those at T1 (P＜0.05),the decrease was more obvious compared with the observation group (P＜0.05);the score of anxiety in the observation group was decreased compared with that at T1 (P＜0.05),and was lower than that of control group (P＜ 0.05).The MAP,HR level and anxiety score at 30 min after surgery had no statistical difference between the two groups (P＞0.05).Conclusion Implementing the audiovisual dispersion intervention is beneficial to the intraoperative emotional stability in the patients with PPH and reduces the occurrence of VVR.
ABSTRACT
<p><b>OBJECTIVE</b>To explore the efficacy of adipose-derived mesenchymal stem cells (ADMSCs) in a murine model of inflammatory bowel disease, and its potential mechanism.</p><p><b>METHODS</b>Murine colitis mouse model of Crohn's disease(CD) was created by trinitrobenzene sulfonic acid(TNBS)-induced colitis. Seventy-five 6-8 weeks female BALB/c mice were randomly divided into 3 groups: control group, TNBS group and ADMSC group. To verify the therapeutic effect of ADMSC, real-time PCR and immunohistochemical staining were performed to measure inflammatory cytokines levels in colon tissues. The 10-day survival statuses were recorded after the infusion of ADMSCs.</p><p><b>RESULTS</b>Intraperitoneal injection of ADMSCs alleviated the clinical and histopathologic severity of intestinal inflammation, and increased survival(60% vs. 30%, P<0.05) in the TNBS-induced mouse model of CD. Compared with TNBS group, proinflammatory cytokines, including TNF-α, IL-12 and VEGF of ADMSC group were significantly reduced, with significant increase of IL-10 expression.</p><p><b>CONCLUSION</b>ADMSCs can effectively repair the injury of colonitis through down-regulation of proinflammatory cytokines TNF-α, IL-12 and VEGF expression, and up-regulation of anti-inflammatory cytokine IL-10 expression, which may be a potential new alternative of cell-based therapy for CD.</p>