Heart valve disease (HVD) is one of the common cardiovascular diseases. Heart sound is an important physiological signal for diagnosing HVDs. This paper proposed a model based on combination of basic component features and envelope autocorrelation features to detect early HVDs. Initially, heart sound signals lasting 5 minutes were denoised by empirical mode decomposition (EMD) algorithm and segmented. Then the basic component features and envelope autocorrelation features of heart sound segments were extracted to construct heart sound feature set. Then the max-relevance and min-redundancy (MRMR) algorithm was utilized to select the optimal mixed feature subset. Finally, decision tree, support vector machine (SVM) and k-nearest neighbor (KNN) classifiers were trained to detect the early HVDs from the normal heart sounds and obtained the best accuracy of 99.9% in clinical database. Normal valve, abnormal semilunar valve and abnormal atrioventricular valve heart sounds were classified and the best accuracy was 99.8%. Moreover, normal valve, single-valve abnormal and multi-valve abnormal heart sounds were classified and the best accuracy was 98.2%. In public database, this method also obtained the good overall accuracy. The result demonstrated this proposed method had important value for the clinical diagnosis of early HVDs.
【Abstract】Objective To investigate the effects of human interlukin-13 (hIL-13) on the expression of E-selectin and intercellular adhesion molecule-1(ICAM-1) on bovine aortic endothelial cells(BAECs) stimulated by tumor necrosis factor alpha(TNF-α), and to provide experimental basis for hIL-13 inducing immunity endure and relieving the repulsion reaction of xenograft. Methods BAECs were co-cultured with different concentrations of hIL-13 for 2 h and followed by co-cultured with 4 ng/ml TNF-α for 6 h or 18 h. The expressions of E-selectin and ICAM-1 on BAECs were detected by Cell-ELISA. The effect of hIL-13 on activity of BAECs was detected by MTT colorimetry.Results BAECs pretreateded with hIL-13 could inhibit the expression of E-selectin and ICAM-1 induced by TNF-α, and showed a doesdependent manner from 5 ng/ml to 20 ng/ml of hIL-13 (P＜0.01). The experimental result of BAECs activity measured by MTT proved no significant difference in the activities of BAECs in every experimental groups compared with control group’s. Conclusion hIL-13 could inhibit the expression of E-selectin and ICAM-1 on BAECs induced by TNF-α, which may contribute to the xenotransplant immune tolerance.
Selective attention promotes the perception of brain to outside world and coordinates the allocation of limited brain resources. It is a cognitive process which relies on the neural activities of attention-related brain network. As one of the important forms of brain activities, neural oscillations are closely related to selective attention. In recent years, the relationship between selective attention and neural oscillations has become a hot issue. The new method that using external rhythmic stimuli to influence neural oscillations, i.e., neural entrainment, provides a promising approach to investigate the relationship between selective attention and neural oscillations. Moreover, it provides a new method to diagnose and even to treat the attention dysfunction. This paper reviewed the research status on the relationship between selective attention and neural oscillations, and focused on the application prospects of neural entrainment in revealing this relationship and diagnosing, even treating the attention dysfunction.
Modified Goligher’s highly selective vagotomy (HSV) for 217 cases of duodenal ulcers is reported. In this series they were: duodenal ulcer (100 cases), combined gastric and duodenal ulcers (79 cases) and complicated perforating, bleeding or stenosed ulcers (38 cases). In the complicated duodenal ulcer, HSV was usually carried out with suturing bleeding point, perforated ulcer or with pyloroplasty. With a follow-up of 3~20 years, the recurrence rate werelt;2% and 85.7% of cases had excellent or good results as Visick classification. Considerations relevant to the HSV technic are deemed worthy of emphasis; complete resection of gastric branches of anterior and posterior vagal trunks and preservation of the first limb of the "Crow’s foot", extended dissection of the distal 5-7cm of the esophagus and division of the distal 8-10cm of the bundle of the gastroepiploic vessels in order to deprive the whole parietal cell mass of its vagal supply. In 4 patients, recurrence were easily controlled with remedies or operation for gastric retention by rational type. The authors suggest that the modified HSV plus mucusdeprived antrectomy be the rational surgical choice for duodenal ulcer.
In order to improve the accuracy and efficiency of automatic seizure detection, the paper proposes a method based on improved genetic algorithm optimization back propagation (IGA-BP) neural network for epilepsy diagnosis, and uses the method to achieve detection of clinical epilepsy rapidly and effectively. Firstly, the method extracted the linear and nonlinear features of the epileptic electroencephalogram (EEG) signals and used a Gaussian mixture model (GMM) to perform cluster analysis on EEG features. Next, expectation maximization (EM) algorithm was used to estimate GMM parameters to calculate the optimal parameters for the selection operator of genetic algorithm (GA). The initial weights and thresholds of the BP neural network were obtained through using the improved genetic algorithm. Finally, the optimized BP neural network is used for the classification of the epileptic EEG signals to detect the epileptic seizure automatically. Compared with the traditional genetic algorithm optimization back propagation (GA-BP), the IGA-BP neural network can improve the population convergence rate and reduce the classification error. In the process of automatic detection of epilepsy, the method improves the detection accuracy in the automatic detection of epilepsy disorders and reduced inspection time. It has important application value in the clinical diagnosis and treatment of epilepsy.
Objective To investigate the effect of the morphological changes in the proximal femur on the prothesis selection in the total hip arthroplasty in the patients with ankylosing spondylitis. Methods The experimental group was composed of 13 patients (16 hips) with ankylosing spondylitis, which was treated with the total hip arthroplasty, and the control group was composed of 16 patients（19 hips）with non-ankylosing spondylitis，which was also treated with the total hip arthroplasty. In the two groups, the measurements of Singh index，canal flare index，morphological index of the cortex and cortical index were performed in the two groups. Results The results of the statistical analysis on Singh index，canal flare index, morphological index of the cortex and cortical index in the experimental group were 3.81±0.54, 2.63±0.41, 2.02±0.38 and 1.69±0.69, respectively, but 4.63±0.62, 3.03±0.27, 2.76±0.28 and 2.12±0.24, respectively in the control group. Therewas a significant difference in Singh index, canal flare index, and morphological index of the cortex between the two groups (Plt;0.05)，while there was no statistical difference in cortical index between the two groups (P＞0.05). The patientswith ankylosing spondylitis had more serious osteoporosis in their proximal femur. Conclusion Cemented femoral prosthesis should be used in the total hip replacement in patients with ankylosing spondylitis, and the revision total hip arthroplasty should be performed on patients with more serious osteoporosis.
In order to improve the accuracy of classification with small amount of motor imagery training data on the development of brain-computer interface (BCI) systems, we proposed an analyzing method to automatically select the characteristic parameters based on correlation coefficient analysis. Throughout the five sample data of dataset Ⅳa from 2005 BCI Competition, we utilized short-time Fourier transform (STFT) and correlation coefficient calculation to reduce the number of primitive electroencephalogram dimension, then introduced feature extraction based on common spatial pattern (CSP) and classified by linear discriminant analysis (LDA). Simulation results showed that the average rate of classification accuracy could be improved by using correlation coefficient feature selection method than those without using this algorithm. Comparing with support vector machine (SVM) optimization features algorithm, the correlation coefficient analysis can lead better selection parameters to improve the accuracy of classification.
Abstract This experiment was to study the feasibility from direct observation of muscle contraction of the lower extremity fromelectrical stimulation threshold of nerve fascicle in identifying the Iα intrafusal afferent fibers during selective posterior rhizotomy (SPR) and to investigate the clinical relationship between the muscle spasm and the electrical stimulation of nerve fascicles. The electrical stimulation threshold of all nerve fascicles in 36 cases during SPR were analysed statistically. The results showed that there was a significant difference between the electrical stimulation threshold of the severed nerve fascicles and intact nerve fascicles no matter the nerve root or each posterior nerve rootlet was examined. It was simple and reliable for surgeons to identify correctly the Iα intrafusal afferent fibers intraoperatively from direct observation of the electrical stimulation threshold of nerve fascicle.
Objective To determine whether fluoxetine, a commonly used selective serotonin reuptake inhibitors (SSRIs), could exacerbate bleeding in a intracerebral hemorrhage (ICH) mouse model. Methods Forty two 12-14 month old female specific pathogen free C57BL/6 mice were selected. Mice were randomly divided into fluoxetine group (fluoxetine pre-treatment) and control group, with 21 mice in each group. After treated with fluoxetine for 7 days, ICH was induced by injecting collagenase Ⅶ-S into the right striatum of middle-aged female mice. Effects of fluoxetine on exacerbating bleeding were evaluated by a combination of histologic, molecular, cellular, and behavioral assessments. Results On the third day after ICH, the hemorrhage volumes of the control group and fluoxetine group were (4.59±1.80) mm3 and (6.09±1.08) mm3, respectively. In middle-aged female mice subjected to collagenase-induced ICH, fluoxetine pre-treatment significantly exacerbated neurological deficit, cerebral hemorrhage volume, myelin damage, hemoglobin and iron deposition, neuronal degeneration, and brain edema (P<0.05). Although there was no significant difference in tail bleeding time between the two groups, fluoxetine pre-treatment might increase tail bleeding time [(276.73±211.06) vs. (438.00±236.79) s; t=−1.686, P=0.055]. Conclusions The use of fluoxetine and more generally of SSRIs, which inhibits platelet aggregation, may exacerbate bleeding after ICH. Thus, patients with depression after ICH may avoid concomitant use of such drugs when choosing an antidepressant.