目的 建立测定胎盘灌流液中格列苯脲浓度的高效液相色谱（HPLC）检测方法。方法 采用的色谱柱为Symmetry Shield RP C18（150 mm×4.6 mm，5 μm），柱温40℃，流动相为NaH2PO4缓冲盐（25 mmol/L，pH值5.2）︰乙腈=1︰1；内标为格列齐特，流速1.0 mL/min，检测波长228 nm，采用液-液萃取预处理方法测定胎盘灌流液中格列苯脲的浓度。 结果 格列苯脲浓度线性范围为2.0～25.0 μg/mL，线性方程为：y=0.226x+0.002，r=0.999 9 （n=6），日内相对标准偏差（RSD）＜3.1%，日间RSD＜9.5%，方法学回收率为95.32%～103.35%。 结论 HPLC检测方法灵敏、简便，可用于胎盘灌流液中格列苯脲浓度的检测。
目的:观察脑出血急性期血凝动态变化规律,为治疗提供理论依据。方法:检测36例脑出血患者病后第1天、第3天、第5天、第10天、凝固启动时间(CST)、凝固达峰值时间(MCT)、最大凝固程度(MCE)、凝血酶原(FⅡ)、纤维蛋白原(Fg)和44例健康体检者的相同指标。结果:与对照组比较,脑出血组病后第1天、第3天、第5天,第10天的MCE、Fg、FⅡ增高(Plt;0.05)。结论:脑出血病后10天血凝显著增高,提示脑出血患者急性期应慎用止血剂和清除脑血肿。
The detection of electrocardiogram (ECG) characteristic wave is the basis of cardiovascular disease analysis and heart rate variability analysis. In order to solve the problems of low detection accuracy and poor real-time performance of ECG signal in the state of motion, this paper proposes a detection algorithm based on segmentation energy and stationary wavelet transform (SWT). Firstly, the energy of ECG signal is calculated by segmenting, and the energy candidate peak is obtained after moving average to detect QRS complex. Secondly, the QRS amplitude is set to zero and the fifth component of SWT is used to locate P wave and T wave. The experimental results show that compared with other algorithms, the algorithm in this paper has high accuracy in detecting QRS complex in different motion states. It only takes 0.22 s to detect QSR complex of a 30-minute ECG record, and the real-time performance is improved obviously. On the basis of QRS complex detection, the accuracy of P wave and T wave detection is higher than 95%. The results show that this method can improve the efficiency of ECG signal detection, and provide a new method for real-time ECG signal classification and cardiovascular disease diagnosis.
Objective To investigate the efficacy of fine needle aspiration-thyroglobulin (FNA-Tg) with colloidal gold immunochromatographic assay (CGICA) on the assessment of lymph node metastasis during surgery in papillary thyroid carcinoma (PTC) patients. Methods Seventy-eight patients with PTC who underwent surgery in the Department of Thyroid Surgery of West China Hospital of Sichuan University from August to December 2019 were selected as the research objects, 289 neck lymph node specimens cleaned during the operation were prepared into eluent after lymph node FNA within 10 minutes in vitro, and then the FNA-Tg level was detected rapidly and quantitatively by CGICA. The specimen of washout fluid was labeled and sent to the laboratory for FNA-Tg detection by Roche electrochemiluminescence immunoassay. The lymph nodes in the whole group were divided into central region group and lateral cervical region group according to their location. According to the long diameter of lymph nodes, they were divided into <5 mm group, 5–10 mm group and >10 mm group. With postoperative pathological report as the gold standard, the receiver operating characteristic (ROC) curve of the whole group of data subjects was drawn, and the area under curve (AUC) was compared to calculate the best cut-off value of FNA-Tg in diagnosing PTC lymph node metastasis. The sensitivity, specificity, diagnostic accuracy, positive predictive value and negative predictive value of FNA-Tg CGICA method and Roche method in the whole group and different subgroups were compared. The data of 55 lymph nodes detected by FNA-Tg CGICA method and rapid frozen pathology were collected, and the diagnostic efficacy indexes of CGICA method and rapid frozen pathology in the diagnosis of lymph node metastasis were compared. Results The ROC curves AUC of FNA-Tg detected by CGICA method and Roche method was 0.850 and 0.883, respectively, the difference was not statistically significant (Z=1.011, P>0.05). The sensitivity was 77.7% and 79.6% respectively (χ2=0.05, P>0.05), specificity was 84.9% and 93.5% respectively (χ2=7.50, P<0.05). Using McNemar test, there was no significant difference in the diagnostic results between the CGICA method and Roche method of FNA-Tg in the whole group (P>0.05). The diagnostic efficacy of FNA-Tg CGICA method was better in the lateral cervical region group than that in the central region group, and the diagnostic efficacy of the group with the long diameter of lymph nodes >10 mm was better than those of the groups with the long diameter of lymph nodes <5 mm and 5–10 mm. There was no significant difference in diagnostic results between FNA-Tg CGICA method and rapid frozen pathology (P>0.05). Conclusions The FNA-Tg CGICA method has high value in diagnosing PTC cervical lymph node metastasis, and has the characteristics of rapidity and convenience. The diagnostic efficiency is similar to that of Roche method.
Surface electromyography (sEMG) has been widely used in the study of clinical medicine, rehabilitation medicine, sports, etc., and its endpoints should be detected accurately before analyzing. However, endpoint detection is vulnerable to electrocardiogram (ECG) interference when the sEMG recorders are placed near the heart. In this paper, an endpoint-detection algorithm which is insensitive to ECG interference is proposed. In the algorithm, endpoints of sEMG are detected based on the short-time energy and short-time zero-crossing rates of sEMG. The thresholds of short-time energy and short-time zero-crossing rate are set according to the statistical difference of short-time zero-crossing rate between sEMG and ECG, and the statistical difference of short-time energy between sEMG and the background noise. Experiment results on the sEMG of rectus abdominis muscle demonstrate that the algorithm detects the endpoints of the sEMG with a high accuracy rate of 95.6%.
Objective To explore the application of two methods of direct fecal detection ofClostridium difficilein patients with recurrent inflammatory bowel disease (IBD), including nucleic acid amplification test (NAAT) and enzyme immunoassay (EIA), in order to provide support for hospitals to prevent and control clostridium difficile infection (CDI). Methods Fresh feces of 48 patients with recurrent IBD treated between November 2014 and April 2015 were collected within 48 hours after admission. Anaerobic culture and identification, NAAT and EIA were used to test the same samples. Statistical analysis was performed using Kappa test. Results Among the 48 fecal samples,Clostridium difficilewas negative in 37 and positive in 11 including 2 (4.2%) with toxigenicClostridium difficile characterized as toxin type A+B+. Compared with anaerobic culture and identification, NAAT had a perfect correlation (Kappa=1.00,P<0.05), and EIA had an almost perfect correlation (Kappa=0.89,P<0.05). But EIA toxin test had missed detection of toxigenic samples. Conclusions For patients with recurrent IBD combined with CDI, both NAAT and EIA test may be applied to detctClostridium difficile in feces directly, while NAAT may show a better performance. Samples from highly suspected patients with negative toxin result tested by EIA should be confirmed by other methods such as NAAT.
In order to study the effect of light with different wavelengths on the motion behavior of carp robots, phototaxis experiment, anatomical experiment, light control experiment and speed measurement experiment were carried out in this study. Blue, green, yellow and red light with different wavelength were used to conduct phototaxis experiments on carp to observe their movement behavior. By dissecting the skull bones of the carp to determine the appropriate location to carry the light control device, we independently developed a light control carrying device which was suitable for any illumination intensity environment. The experiment of the light-controlled carp robots was carried out. The motion behavior of the carp robot was checked by using computer binocular stereo vision technology. The motion trajectory of the carp robot was tracked and obtained by applying kernel correlation filter (KCF) algorithm. The motion velocity of the carp robot at different wavelengths was calculated according to their motion trajectory. The results showed that carps’ sensitivity to different light changed from strong to weak in the order of blue, red, yellow and green, so that using light with different wavelengths to control the speed of the carp robot has certain laws to follow. A new method to avoid brain damage in carp robots control can be provided in this study.
A method was proposed to detect pulmonary nodules in low-dose computed tomography (CT) images by two-dimensional convolutional neural network under the condition of fine image preprocessing. Firstly, CT image preprocessing was carried out by image clipping, normalization and other algorithms. Then the positive samples were expanded to balance the number of positive and negative samples in convolutional neural network. Finally, the model with the best performance was obtained by training two-dimensional convolutional neural network and constantly optimizing network parameters. The model was evaluated in Lung Nodule Analysis 2016(LUNA16) dataset by means of five-fold cross validation, and each group's average model experiment results were obtained with the final accuracy of 92.3%, sensitivity of 92.1% and specificity of 92.6%.Compared with other existing automatic detection and classification methods for pulmonary nodules, all indexes were improved. Subsequently, the model perturbation experiment was carried out on this basis. The experimental results showed that the model is stable and has certain anti-interference ability, which could effectively identify pulmonary nodules and provide auxiliary diagnostic advice for early screening of lung cancer.
Objective To study the comparability of liver function results between the two detection systems. Methods Based on the NCCLS EP9-A document, 8 fresh serum samples were collected daily for the assay of 10 routine liver function parameters by utilizing the Olympus AU1000 and Backman CX7 detection systems respectively. The results were recorded over 5 days consecutively. Linearity equation and relative deviations were calculated. The comparability between the results obtained from different detection systems was evaluated according to the systematic error at medical decision level of CLIA, 88. Results The paired t-test showed that the results of the fresh serum samples had no significant difference between the two detection systems (Pgt;0.05). Except that the systematic error of albumin at low medical decision level exceeded the allowable error, all the other systematic errors at medical decision level were acceptable. Conclusion The results of liver function are comparable between the two detection systems, and the systematic errors between the two detection systems are clinically acceptable.
ObjectiveTo summarize the results of testing and analysis of antigen and antibody for diseases under the frame of children's immunization program, in order to know the effects of prevention and control of such diseases in this area. MethodsA total of 150 children from each of the 5 communities or administrative villages in Yongning District of Nanning City were selected for our survey between January and December 2012. The 150 children were composed of 30 children (residents, 1-6 years old, 5 children from each different age group) randomly selected from each of the four directions (east, south, west and north) and the mid-area of each community or village. The serum samples were collected to analyze the existence of poliomyelitis antibody, measles antibody, hepatitis B surface antigen (HBsAg), hepatitis B surface antibody (HBsAb), and diphtheria antibody. ResultsAmong the 150 school-age children, antibody immune qualified rate was high for hepatitis B (HBV) antigen, in which the HBsAg immune qualified rate was 99.3%, and HBsAb immune qualified rate was 88.0%, showing no significant difference between boys and girls (P>0.05). All poliomyelitis Ⅰ, Ⅱ, and Ⅲ antibody positive rates reached 100.0%. Measles antibody test results were also satisfying for each age group, among whom the 2 and 3 year-olds reached a positive rate of the highest, 100%, and the 1, 4, 5, and 6 year-old children had a measles antibody positive rate of 96.0%, 84.0%, 88.0%, and 96.0%, respectively. The positive rate for diphtheria antibody was 100%. ConclusionThe antibody and antigen detection and analysis results for the children's immune program targeted diseases are generally satisfying in this area. Especially, the prevention of poliomyelitis and diphtheria is the best. However, prevention of HBV and measles is not as good. Therefore, tracking immunization coverage, promoting public awareness on immune planning, actively participating in the vaccination of children should be enhanced for further disease prevention.