Automatic removal algorithm of electrooculographic artifacts in non-invasive brain-computer interface based on independent component analysis / 生物医学工程学杂志

The non-invasive brain-computer interface (BCI) has gradually become a hot spot of current research, and it has been applied in many fields such as mental disorder detection and physiological monitoring. However, the electroencephalography (EEG) signals required by the non-invasive BCI can be easily contaminated by electrooculographic (EOG) artifacts, which seriously affects the analysis of EEG signals. Therefore, this paper proposed an improved independent component analysis method combined with a frequency filter, which automatically recognizes artifact components based on the correlation coefficient and kurtosis dual threshold. In this method, the frequency difference between EOG and EEG was used to remove the EOG information in the artifact component through frequency filter, so as to retain more EEG information. The experimental results on the public datasets and our laboratory data showed that the method in this paper could effectively improve the effect of EOG artifact removal and improve the loss of EEG information, which is helpful for the promotion of non-invasive BCI.

Predictive effect of Bayes discrimination in the level of serum protein factors and cognitive dysfunction in schizophrenia / 中华行为医学与脑科学杂志

Objective:To explore the correlation between serum protein factor level and clinical symptoms and cognitive impairment in patients with schizophrenia and to predict the degree of cognitive impairment, so as to provide an auxiliary method for clinical evaluation of cognitive impairment severity and prognosis of schizophrenia.Methods:From September 2017 to April 2019, 71 schizophrenic patients diagnosed in the First Affiliated Hospital of Kunming Medical University were selected as the patient group, and 65 healthy volunteers from the physical examination center of the same hospital were selected as the control group.The concentrations of tumor necrosis factor α(TNF-α), brain-derived neurotrophic factor(BDNF) and calcium-binding protein β(S100β) in peripheral blood were detected by ELISA method.Cognitive function was evaluated by MATRICS consensus cognitive battery(MCCB) cognitive assessment.The clinical symptoms of patients were evaluated by positive and negative syndrome scale(PANSS) scale.SPSS 20.0 software was used for statistical analysis, independent sample t-test was used for comparison between groups, and Pearson correlation analysis was used for the relationship between serum protein factor level and cognitive function and clinical symptoms.In order to objectively predict, evaluate and verify the severity of cognitive impairment in schizophrenia, Bayes discriminant function was established with serum protein factor concentration and PANSS total score as independent variables and the defect degree of cognitive factors in MCCB as dependent variables. Results:The serum TNF-α((63.2±25.2)pg/L vs (31.4±14.3)pg/L) and S100β((68.0±26.4)pg/L vs (47.3±20.2)pg/L) concentrations in the patient group were higher than those in the control group.The concentration of serum BDNF in the patient group was lower than that in the control group ((2 517.8±1 140.2)pg/L vs (5 202.2±447.2)pg/L), and the difference was statistically significant ( P=0.000). In the retrospective test of cognitive impairment severity in Bayes discriminant function model, the correct discrimination rates of four cognitive factors were speed of processing(SoP) 69.0%, Verbal learning(VeL) 63.4%, reasoning and problem solving(RPS) 76.1% and visual learning(ViL) 73.2%.The correct discrimination rates of cross-examination were SoP 66.2%, VeL 60.6%, RPS 73.2%, ViL 66.2. Conclusion:The levels of serum protein factors TNF-α, BDNF and S100β and clinical symptom scores of schizophrenia have different degrees of correlation with the severity score of cognitive impairment.Bayes discriminant function model has higher correct discrimination rate for the severity of cognitive impairment of schizophrenia.It is found that the levels of schizophrenia-related protein factors and clinical symptom scores may have predictive effect on the severity of cognitive impairment, providing a more objective basis for the clinical efficacy evaluation of schizophrenia patients.

Detection of inferior myocardial infarction based on morphological characteristics / 生物医学工程学杂志

Early accurate detection of inferior myocardial infarction is an important way to reduce the mortality from inferior myocardial infarction. Regrading the existing problems in the detection of inferior myocardial infarction, complex model structures and redundant features, this paper proposed a novel inferior myocardial infarction detection algorithm. Firstly, based on the clinic pathological information, the peak and area features of QRS and ST-T wavebands as well as the slope feature of ST waveband were extracted from electrocardiogram (ECG) signals leads Ⅱ, Ⅲ and aVF. In addition, according to individual features and the dispersion between them, we applied genetic algorithm to make judgement and then input the feature with larger degree into support vector machine (SVM) to realize the accurate detection of inferior myocardial infarction. The proposed method in this paper was verified by Physikalisch-Technische Bundesanstalt (PTB) diagnostic electrocardio signal database and the accuracy rate was up to 98.33%. Conforming to the clinical diagnosis and the characteristics of specific changes in inferior myocardial infarction ECG signal, the proposed method can effectively make precise detection of inferior myocardial infarction by morphological features, and therefore is suitable to be applied in portable devices development for clinical promotion.

Research progress of cognitive dysfunction and microRNA regulation in patients with schizophrenia / 四川精神卫生

In this paper， the types and expression characteristics of microRNAs related to cognitive impairment in schizophrenia patients were reviewed， so as to provide a reference for further research on the characteristics of cognitive impairment in schizophrenia patients， and to open up new ideas for further research on the molecular mechanism of cognitive impairment as well as subsequent precise treatment and prognosis evaluation.

China′s strategy and experience in preventing and controlling the local spreading and epidemic of COVID-19 / 上海预防医学

After implementing a series of prevention and control strategies of Corona Virus Disease 19(COVID-19), China′s local epidemic situation has been basically blocked.While China has achieved a periodic success, global pandemic situation is still serious.Together with the timeline of China′s epidemic prevention and control this study reviewed the main strategies and measures in response to COVID-19 epidemic from Dec.2019 to Mar.23, 2020, and summarized China′s prevention and control plans and experiences.We hope all countries could fully understand the importance of non-pharmaceutical public health interventions, make positive and effective adjustments to the measures and strategies of prevention and control based on their own national conditions.

An automatic pulmonary nodules detection algorithm with multi-scale information fusion / 生物医学工程学杂志

Lung nodules are the main manifestation of early lung cancer. So accurate detection of lung nodules is of great significance for early diagnosis and treatment of lung cancer. However, the rapid and accurate detection of pulmonary nodules is a challenging task due to the complex background, large detection range of pulmonary computed tomography (CT) images and the different sizes and shapes of pulmonary nodules. Therefore, this paper proposes a multi-scale feature fusion algorithm for the automatic detection of pulmonary nodules to achieve accurate detection of pulmonary nodules. Firstly, a three-layer modular lung nodule detection model was designed on the deep convolutional network (VGG16) for large-scale image recognition. The first-tier module of the network is used to extract the features of pulmonary nodules in CT images and roughly estimate the location of pulmonary nodules. Then the second-tier module of the network is used to fuse multi-scale image features to further enhance the details of pulmonary nodules. The third-tier module of the network was fused to analyze the features of the first-tier and the second-tier module of the network, and the candidate box of pulmonary nodules in multi-scale was obtained. Finally, the candidate box of pulmonary nodules under multi-scale was analyzed with the method of non-maximum suppression, and the final location of pulmonary nodules was obtained. The algorithm is validated by the data of pulmonary nodules on LIDC-IDRI common data set. The average detection accuracy is 90.9%.

Detection algorithm of paroxysmal atrial fibrillation with sparse coding based on Riemannian manifold / 生物医学工程学杂志

In order to solve the problem that the early onset of paroxysmal atrial fibrillation is very short and difficult to detect, a detection algorithm based on sparse coding of Riemannian manifolds is proposed. The proposed method takes into account that the nonlinear manifold geometry is closer to the real feature space structure, and the computational covariance matrix is used to characterize the heart rate variability (RR interval variation), so that the data is in the Riemannian manifold space. Sparse coding is applied to the manifold, and each covariance matrix is represented as a sparse linear combination of Riemann dictionary atoms. The sparse reconstruction loss is defined by the affine invariant Riemannian metric, and the Riemann dictionary is learned by iterative method. Compared with the existing methods, this method used shorter heart rate variability signal, the calculation was simple and had no dependence on the parameters, and the better prediction accuracy was obtained. The final classification on MIT-BIH AF database resulted in a sensitivity of 99.34%, a specificity of 95.41% and an accuracy of 97.45%. At the same time, a specificity of 95.18% was realized in MIT-BIH NSR database. The high precision paroxysmal atrial fibrillation detection algorithm proposed in this paper has a potential application prospect in the long-term monitoring of wearable devices.

Detection of inferior myocardial infarction based on densely connected convolutional neural network / 生物医学工程学杂志

Inferior myocardial infarction is an acute ischemic heart disease with high mortality, which is easy to induce life-threatening complications such as arrhythmia, heart failure and cardiogenic shock. Therefore, it is of great clinical value to carry out accurate and efficient early diagnosis of inferior myocardial infarction. Electrocardiogram is the most sensitive means for early diagnosis of inferior myocardial infarction. This paper proposes a method for detecting inferior myocardial infarction based on densely connected convolutional neural network. The method uses the original electrocardiogram (ECG) signals of serially connected Ⅱ, Ⅲ and aVF leads as the input of the model and extracts the robust features of the ECG signals by using the scale invariance of the convolutional layers. The characteristic transmission of ECG signals is enhanced by the dense connectivity between different layers, so that the network can automatically learn the effective features with strong robustness and high recognition, so as to achieve accurate detection of inferior myocardial infarction. The Physikalisch Technische Bundesanstalt diagnosis public ECG database was used for verification. The accuracy, sensitivity and specificity of the model reached 99.95%, 100% and 99.90%, respectively. The accuracy, sensitivity and specificity of the model are also over 99% even though the noise exists. Based on the results of this study, it is expected that the method can be introduced in the clinical environment to help doctors quickly diagnose inferior myocardial infarction in the future.

Etiology and risk factors for childhood unintentional injuries: a retrospective analysis of data at a pediatric intensive care unit / 中国当代儿科杂志

OBJECTIVE@#To investigate the etiology and risk factors for unintentional injuries in children admitted to the pediatric intensive care unit (PICU), and to provide a basis for preventing these injuries and decreasing the mortality rate.@*METHODS@#A retrospective analysis was performed on the clinical data of children with unintentional injuries admitted to the PICU from December 2012 to December 2017.@*RESULTS@#A total of 102 children with unintentional injuries were admitted to the PICU, which accounted for 3.30% (102/3 087) of the overall PICU patients. The top three causes of unintentional injuries were food or drug poisoning, drowning, and foreign body ingestion and aspiration. The proportion of unintentional injuries in boys was significantly higher than in girls (P0.05). The logistic regression analysis showed that the number of organs with dysfunction after unintentional injuries, especially respiratory, cardiac, neurological, renal and hematological involvement, was closely associated with the mortality rate of children with unintentional injuries (P0.05).@*CONCLUSIONS@#Prevention is the key to decreasing the incidence of childhood unintentional injuries. Preventive measures should be taken based on patient's sex and age and the cause of unintentional injuries. The spread of first aid knowledge, improvement in emergency transportation, and more attention to organ protection may be useful for decreasing the mortality rate of children with unintentional injuries.

The association of the serum levels of neuregulin-1 and gamma activity of electroencephalogram with cognitive function in patients with first-episode schizophrenia / 中国神经精神疾病杂志

Objective To investigate the serum levels of neuregulin-1 (NRG-1) and the gamma activity of the prefrontal cortex of electroencephalogram (EEG) in the resting state in first-episode schizophrenia patients and exam﹣ine their correlation with clinical symptoms and cognitive function. Methods The serum levels of NRG-1 were mea﹣sured in 53 patients and 58 controls. The gamma activity was first collected from the lead of FP1 and FP2 of the pre﹣frontal cortex of EEG and was then measured by using time-frequency analysis. The psychotic symptoms were as﹣sessed by positive and negative syndrome scale (PANSS). The MATRICS consensus cognitive battery (MCCB) was used to assess the cognitive function. Results The serum levels of NRG-1 was significantly lower in the case group than in the control [(7.36±3.96) pg/mL vs. (11.02±8.78) pg/mL, P=0.006]. The gamma activity was significantly different be﹣tween the case group and the control group [39(73.6%) vs. 14(26.4%), P<0.001]. The scores of TMT in MCCB was significantly higher while the scores of BACS SC, HVLT-R, NAB, BVMT-R and CF scores were significantly lower in the case group than the control group (P<0.01). There was a negative correlation between the serum NRG-1 level and the gamma activity in the case group (r=-0.542, P<0.001). There was a negative correlation between the serum NRG-1 level with PANSS (r=-0.360, P=0.009), while the gamma activity was positively correlated with PANSS (r=0.278, P=0.046) in the case group. The serum NRG-1 level was significantly positively correlated with the scores of HVLT-R in the case group (r=0.332, P=0.016), and the gamma activity was significantly negatively correlated with the scores of HVLT-R (r=-0.442, P=0.001) and NAB (r=-0.307, P=0.027). Conclusion The serum NRG-1 level and the gamma activity are correlated with the clinical symptoms and cognitive impairment of patients with first-episode schizophrenia to some degree, suggesting that abnormal neurobiochemical and neuroelectrophysiological reactions exist and interact with each other in the early stage of schizophrenia.

Clinical results of HCR compared with OPCABG on two-vessel coronary artery disease with proximal left anterior descending stenosis: a propensity-score-matched follow-up study / 上海交通大学学报（医学版）

Objective: To explore the difference between hybrid coronary revascularization (HCR) and off-pump coronary artery bypass grafting (OPCABG) on two-vessel coronary artery disease with proximal left anterior descending stenosis with propensity score matching. Methods: The patients with two-vessel coronary artery disease with proximal left anterior descending stenosis who underwent isolated HCR or OPCABG were selected in Ruijin Hospital from January 2009 to December 2016. The propensity score methodology was used to obtain risk-adjusted outcome. Kaplan-Meier analysis was applied to estimation of major adverse cardiac and cerebrovascular events (MACCE)-free survival rate and target vessel revascularization (TVR)-free survival rate. Results: The average follow-up time was 59 months (13-104 months). The length of hospital stay of HCR group was significantly shorter than that of OPCABG group [(15.3±4.5) d vs (17.6±5.4) d, P=0.027]. There was no statistical difference in other short-term clinical endpoints in hospital. In midterm, there was no statistical difference in the rate of MACCE (11.4% vs 13.3%, P=0.968), death (2.3% vs 4.4%, P=0.984), myocardial infarction (2.3% vs 2.2%, P=0.485), stroke (4.5% vs 6.7%, P=0.979) and TVR (4.5% vs 2.2%, P=0.984) between two groups. And there was no statistical difference in MACCE-free survival rate (P=0.906) and TVR-free survival rate (P=0.541) between two groups. Conclusion: HCR provides favorable midterm outcomes for selected patients with two-vessel coronary artery disease with proximal left anterior descending stenosis. It might provide a promising alternative to OPCABG.

Systematic review and comment on modern study of Xiaojin Pills / 中国中药杂志

Xiaojin Pill, was firstly recorded in Life-saving Manual of Diagnosis and Treatment of External Diseases, with its primitive name of "Xiaojin Dan". Xiaojin Pill is a classic prescription for treating carbuncle and it is the first choice for Chinese medicine in the clinical treatment of hyperplasia of mammary glands. In this paper, the literature reports on Xiaojin Pills were summarized and the historical evolution, material basis, pharmacological action, quality control and other problems were systematically discussed to explore the potential problems in every aspect of the development status, and put forward the development countermeasures, providing reference for the modernization research and development of Xiaojin Pills.

Role of programmed cell death receptor 1 signaling pathway in cancer immunotherapy / 基础医学与临床

Research in immunotherapy has achieved important progress in tumor treatment. Programmed cell death receptor 1(PD-1) is mainly expressed on the T lymphocyte surface and serves as an important immune regu-lator. The interactions of PD-1 and its ligand, PD-L1 are involved in tumor-induced immunosuppression. Some of the approved antibody preparations targeting PD-1/PD-L1 signaling showed significant clinical benefits.

An echo state network algorithm based on recursive least square for electrocardiogram denoising / 生物医学工程学杂志

Electrocardiogram (ECG) is easily submerged in noise of the complex environment during remote medical treatment, and this affects the intelligent diagnosis of cardiovascular diseases. Considering this situation, this paper proposes an echo state network (ESN) denoising algorithm based on recursive least square (RLS) for ECG signals. The algorithm trains the ESN through the RLS method, and can automatically learn the deep nonlinear and differentiated characteristics in the noisy ECG data, and then the network can use these characteristic to separate out clear ECG signals automatically. In the experiment, the proposed method is compared with the wavelet transform with subband dependent threshold and the S-transform method by evaluating the signal-to-noise ratio and root mean square error. Experimental results show that the denoising accuracy is better and the low frequency component of the signal is well preserved. This method can effectively filter out complex noise and effectively preserve the effective information of ECG signals, which lays a foundation for the recognition of ECG signal feature waveform and the intelligent diagnosis of cardiovascular disease.

The association of serum levels of MIF and EGF and cognitive function in first-episode schizophrenic patients / 中华行为医学与脑科学杂志

Objective To explore the serum levels of macrophage migration inhibitory factor(MIF)and epidermal growth factor(EGF) in first-episode schizophrenia patients characterized and the correlation of MIF,EGF serum levels with psychotic symptoms and cognitive function.Methods The serum levels of MIF and EGF in patients (53 cases) and controls (58 cases) were measured by enzyme-linked immunosorbent assay (ELISA).The patients' psychotic symptoms were assessed by positive and negative syndrome scale (PANSS).The MATRICS consensus cognitive battery (MCCB) was used to assess the cognitive function.Results MIF serum level in cases group was higher than that of control group and the difference was statistically significant((50.54±23.05)μg/L vs (36.72± 18.52) μg/L) (P＜0.01).EGF serum level in cases group was higher than that of control group and the difference was statistically significant((5 163.40±2 289.76) vs (3 584.83± 1 444.71) ug/L) (P＜0.01).There was a positive correlation between serum MIF level and PANSS score in schizophrenic patients(P＜0.05).Score of TMT in MCCB in cases group was significantly higher than that in control group (P＜0.01),while scores of BACS SC,HVLT-R,BVMT-R and CF in MCCB in cases group was significantly lower than those in control group (P＜0.01).Serum level of MIF in cases group was significantly positively correlated with score of BVMT-R(P＜0.05),and serum level of EGF in cases group was significantly positively correlated with score of BVMT-R (P＜ 0.05).There was a positive correlation between serum MIF levels and serum EGF levels in the cases group (P＜0.05).There was a positive correlation between serum MIF and serum EGF levels in the control group (P＜0.05).Conclusion The clinical symptoms and partial cognitive impairment in patients with first-episode schizophrenia are related to the concentration of serum protein factors,and there are neuroimmunological abnormalities and neurotrophic imbalances and they are related.

Clinical results of HCR compared with OPCABG on two-vessel coronary artery disease with proximal left anterior descending stenosis: a propensity-score-matched follow-up study / 上海交通大学学报（医学版）

Objective·To explore the difference between hybrid coronary revascularization (HCR) and off-pump coronary artery bypass grafting (OPCABG) on two-vessel coronary artery disease with proximal left anterior descending stenosis with propensity score matching.Methods·The patients with two-vessel coronary artery disease with proximal left anterior descending stenosis who underwent isolated HCR or OPCABG were selected in Ruijin Hospital from January 2009 to December 2016.The propensity score methodology was used to obtain risk-adjusted outcome.Kaplan-Meier analysis was applied to estimation of major adverse cardiac and cerebrovascular events (MACCE)-free survival rate and target vessel revascularization (TVR)-free survival rate.Results·The average follow-up time was 59 months (13-104 months).The length of hospital stay of HCR group was significantly shorter than that of OPCABG group [(15.3±4.5) d vs (17.6±5.4) d,P=0.027].There was no statistical difference in other short-term clinical endpoints in hospital.In midterm,there was no statistical difference in the rate of MACCE (11.4％ vs 13.3％,P=0.968),death (2.3％ vs 4.4％,P=0.984),myocardial infarction (2.3％ vs 2.2％,P=0.485),stroke (4.5％ vs 6.7％,P=0.979) and TVR (4.5％ vs 2.2％,P=0.984) between two groups.And there was no statistical difference in MACCE-free survival rate (P=0.906) and TVR-free survival rate (P=0.541) between two groups.Conclusion·HCR provides favorable midterm outcomes for selected patients with two-vessel coronary artery disease with proximal left anterior descending stenosis.It might provide a promising alternative to OPCABG.

Misdiagnosis of incomplete Kawasaki disease in neonate:a case report and literature review / 临床儿科杂志

Objective To explore the clinical features, diagnosis, and treatment of Kawasaki disease in neonates. Methods The diagnosis and treatment of incomplete Kawasaki disease in one case were retrospectively analyzed. The related literatures were reviewed. Results Male infant had persistent fever with rash at 26 days after birth. The anti-infective treatment was ineffective. No abnormality was found in the first coronary artery ultrasonography. However, coronary artery dilatation was confirmed by ultrasonography after skin peeling at fingertips. After the treatment of gamma globulin and aspirin, the symptoms of fever and rash were improved. The left dilated coronary artery returned to normal after 3 month. The size of coronary artery and the corresponding indexes were normal in 6-months, 1-year and 3 year follow-ups. Conclusion Neonatal Kawasaki disease is rare and atypical.

Association study on serum protein factors and cognitive function in first-episode schizophrenia characterized by positive and negative symptoms / 中华行为医学与脑科学杂志

ObjectiveTo investigate the relationship between the serum concentration of IL-6,S100β,NT-3 and the cognitive functions in first-episode schizophrenia characterized by positive or negative symptoms.Methods44 first-episode schizophrenic patients characterized by positive symptoms (positive group),36 first-episode schizophrenic patients characterized by negative symptoms (negative group) and 50 healthy controls (controls) were collected.The serum levels of IL-6,S100β and NT-3 were measured by enzyme-linked immunosorbent assay (ELISA).The systematic evaluation tool-MCCB was applied to assess cognitive function in patients and controls.ResultsNT-3 serum levels in positive or negative groups were lower than those in controls and the differences were significant((118.39±37.50) ng/L,(112.55±32.29) ng/L vs (141.18±29.67) ng/L) (P<0.01).IL-6 and S100β serum levels in positive or negative groups were higher than those in controls and the differences were statistically significant((5.74±1.00)ng/L,(5.07±1.17)ng/L vs (4.23±0.91)ng/L),((132.98±46.71)ng/L,(124.99±43.14)ng/L vs (103.63±31.57)ng/L)(P<0.01).IL-6 serum levels in the positive group ((5.07±1.17)ng/L) were lower than those in the negative group ((5.74±0.99)ng/L) and the difference was statistically significant (P<0.05).In MCCB test,the TMT scores in patients characterize by positive symptoms or patients characterize by negative symptoms were higher than those in healthy control group (P<0.01).BACS SC,HVLT-R WMS-Ⅲ,SS,NAB,BVMT-R,CF in patients characterize by positive symptoms or by negative symptoms were lower than those in healthy control group(P<0.01).There were no statistical difference in the MCCB scores between the patients with positive symptoms and negative symptoms.In positive group,there was a positive correlation between the IL-6 serum concentration and the general symptom scores in PANSS (P<0.05).In positive group,NT-3 serum concentration was positively correlated with the general symptom scores or total scores of PANSS (P<0.05).BVMT-R scores in MCCB were also positively correlated with IL-6 or NT-3 serum concentration in positive group (P<0.05).ConclusionThe impairment of part of cognitive functions for schizophrenic patients may be related to the serum protein factors.There may be different in pathophysiology between the first-episode schizophrenic patients characterized by positive symptoms and those characterized by negative symptoms.

Comparative Study of the Regulating Effects of Electroacupuncture Versus Catgut Embedding on Mouse Morphine Withdrawal and Tolerance / 上海针灸杂志

Objective To observe expression levels of N-methyl-D-aspartate (NMDA) receptor and cholecystokinin (CCK) in the hippocampus and spinal cord in morphine withdrawal or tolerance mice treated by electroacupuncture or catgut embedding and explore the difference between the regulating effects of electroacupuncture and catgut embedding on morphine withdrawal and tolerance.Methods Fifty-six male C57BL/6J mice were randomly allocated to withdrawal control, withdrawal model, withdrawal catgut embedding and withdrawal electroacupuncture groups, and tolerance control, tolerance model, tolerance catgut embedding and tolerance electroacupuncture groups, 7 mice in each group. A model of morphine withdrawal was made by subcutaneous injection of morphine hydrochloride using 7-day increasing addiction method. The withdrawal control group was injected with an equal volume of normal saline at the same time points. In the withdrawal electroacupuncture group, electroacupuncture at bilateral points Shenshu was performed using a Han’s acupoint nerve stimulation device (HANS-200) at 15 min after an injection of morphine hydrochloride. In the withdrawal catgut embedding group, 0.5 cm chromic catgut was embedded in bilateral points Shenshu at 15 min after an injection of morphine hydrochloride. Addiction was promoted by intraperitoneal injection of naloxone 4 mg/kg at 10 o’clock on the seventh day’s morning and Withdrawal reactions were observed in the mice. The score was recorded using the Ryuta Tomoji opioid withdrawal symptoms evaluation scale. NMDA receptor and CCK contents in the hippocampus and spinal cord were measured by enzyme-linked immunosorbent assay (ELISA). A model of morphine tolerance was made by subcutaneous injection of morphine 10 mg/kg. The tolerance control group was injected with tolerance normal saline 10 ml/kg at the same time. In the tolerance catgut embedding group, catgut was embedded in point Shenshu at the first day after model making. In the tolerance electroacupuncture group, point Shenshu was given electroacupuncture at the first day after model making. After seven days of treatment, NMDA receptor and CCK contents in the hippocampus and spinal cord were measured by ELISA.Results There were statistically significant differences in hippocampal NR2B and CCK expressions between the withdrawal model and withdrawal control groups (P<0.05). There was a statistically significant difference in hippocampal NR2B expression between the withdrawal electroacupuncture and withdrawal model groups (P<0.05). There was a statistically significant difference in hippocampal CCK expression between the withdrawal catgut embedding or withdrawal electroacupuncture group and the withdrawal model group (P<0.05). There were statistically significant differences in spinal cord NR2A, NR2B and CCK expressions between the withdrawal model and withdrawal control groups (P<0.05). There were statistically significant differences in spinal cord NR2A and NR2B expressions between the withdrawal electroacupuncture and withdrawal model groups (P<0.05). There were statistically significant differences in hippocampal NR2A, NR2B and CCK expressions between the tolerance model and tolerance control groups (P<0.05). There was a statistically significant difference in hippocampal CCK expression between the tolerance catgut embedding and tolerance model groups (P<0.05). There was a statistically significant difference in hippocampal NR1 expression between the tolerance electroacupuncture group and the tolerance model or tolerance catgut embedding group (P<0.05). There was a statistically significant difference in spinal cord CCK expression between the tolerance catgut embedding or withdrawal electroacupuncture group and the tolerance model group (P<0.05).Conclusions Both catgut embedding and electroacupuncture at point Shenshu have a reducing effect on morphine tolerance and withdrawal. The therapeutic effect of electroacupuncture is better than that of catgut embedding.

A modeling method for human standing balance system based on T-S fuzzy identification / 生物医学工程学杂志

In order to develop safe training intensity and training methods for the passive balance rehabilitation train- ing system, we propose in this paper a mathematical model for human standing balance adjustment based on T-S fuzzy identification method. This model takes the acceleration of a multidimensional motion platform as its inputs, and human joint angles as its outputs. We used the artificial bee colony optimization algorithm to improve fuzzy C--means clustering algorithm, which enhanced the efficiency of the identification for antecedent parameters. Through some experiments, the data of 9 testees were collected, which were used for model training and model results validation. With the mean square error and cross-correlation between the simulation data and measured data, we concluded that the model was accurate and reasonable.