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The research shows that personality assessment can be achieved by regression model based on electroencephalogram (EEG). Most of existing researches use event-related potential or power spectral density for personality assessment, which can only represent the brain information of a single region. But some research shows that human cognition is more dependent on the interaction of brain regions. In addition, due to the distribution difference of EEG features among subjects, the trained regression model can not get accurate results of cross subject personality assessment. In order to solve the problem, this research proposes a personality assessment method based on EEG functional connectivity and domain adaption. This research collected EEG data from 45 normal people under different emotional pictures (positive, negative and neutral). Firstly, the coherence of 59 channels in 5 frequency bands was taken as the original feature set. Then the feature-based domain adaptation was used to map the feature to a new feature space. It can reduce the distribution difference between training and test set in the new feature space, so as to reduce the distribution difference between subjects. Finally, the support vector regression model was trained and tested based on the transformed feature set by leave-one-out cross-validation. What's more, this paper compared the methods used in previous researches. The results showed that the method proposed in this paper improved the performance of regression model and obtained better personality assessment results. This research provides a new method for personality assessment.
Subject(s)
Humans , Algorithms , Brain , Electroencephalography/methods , Emotions , Personality AssessmentABSTRACT
Objective:To explore the relationship between the dynamic changes of lymphocytes in the early stage (within 72 hours of admission) and the severity of disease in patients with coronavirus disease 2019 (COVID-19).Methods:A retrospective study was conducted. The clinical data of COVID-19 patients admitted in Wenzhou Central Hospital from January 17, 2020 to February 14, 2020 were collected and analyzed. According to whether there was lymphopenia on the first day of admission [lymphocyte count (LYM) < 0.8×10 9/L], whether the difference between LYM on the third day and the first day of admission (ΔLYM) was less than 0, the patients were divided into four groups: the first group was LYM normal on the first day of admission, ΔLYM ≥ 0; the second group was LYM normal on the first day of admission, ΔLYM < 0; the third group was lymphopenia on the first day of admission, ΔLYM ≥ 0; the fourth group was lymphopenia on the first day of admission, ΔLYM < 0. The study endpoint was the development of severe/critically ill patients within 30 days after admission. Severe/critical standard referred to classification of Diagnosis and treatment protocol for coronavirus disease 2019 (trial version 5, revised edition). The differences in general information, laboratory results, and probability of developing severe/critical were compared among the four groups. Cox regression analysis was used to analyze the correlation between the early dynamic changes of lymphocytes and the probability of severe illness; and the Kaplan-Meier survival curve was drawn to assess the probability of severe illness in patients with different LYM groups. Results:A total of 104 patients with COVID-19 were enrolled, and 21 patients developed to severe/critical cases within 30 days of onset (accounting for 20.2%; 17 severe cases and 4 critical cases). There were significant differences in age ( F = 5.061, P = 0.003), white blood cell count (WBC) on the first day of admission ( Z = 10.850, P = 0.013), C-reactive protein (CRP) on the first day of admission ( Z = -4.449, P < 0.001), LYM on the first day of admission ( Z = 43.132, P < 0.001), LYM on the third day of admission ( Z = 40.340, P < 0.001), and the occurrence of severe/critical illness ( χ2 = 18.645, P < 0.001) among the four groups. Patients in groups 3 and 4 were older; patients in group 3 had the lowest WBC and LYM on the first day of admission; patients in group 4 had the highest CRP on the first day of admission, the lowest LYM on the third day of admission, and high proportion of severe/critical cases. Regarding the probability of severe/critically ill patients within 30 days of admission, univariate Cox regression analysis showed that the probability of severe/critical patients in group 4 was 12.7 times higher than that in group 1 [hazard ratio ( HR) = 12.732, 95% confidence interval (95% CI) was 3.951-41.025, P < 0.001]; age, CRP, albumin (ALB) and lymphocyte grouping were included in multivariate Cox regression analysis, the probability of severe/critically ill patients in group 4 was 6.4 times that of group 1 ( HR = 6.398, 95% CI was 1.757-23.301, P = 0.005); however, there was no difference in the probability among the group 1, 2 and 3. Kaplan-Meier survival curve showed that the probability of severe/critically ill patients in group 4 was significantly higher than that in groups 1, 2 and 3 (Log-Rank test: χ2 = 42.617, P < 0.001). Conclusions:Early lymphocyte dynamics change is related to the severity of patients with COVID-19. Patients with low LYM on the first day and continued decrease within 72 hours of admission have a higher probability to develop into severe/critically cases.
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Objective:To explore the correlation between early inflammation indicators and the severity of coronavirus disease 2019 (COVID-19).Methods:A retrospective study was conducted. Patients with COVID-19 admitted to Wenzhou Central Hospital from January 17 to February 14, 2020 were enrolled. The general information, chest CT before admission, the first laboratory parameters and chest CT within 24 hours after admission were collected. Patients were followed up for 30 days after the first onset of dyspnea or pulmonary imaging showed that the lesions progressed more than 50% within 24 to 48 hours (according to the criteria for severe cases) as the study endpoint. According to the endpoint, the patients were divided into two groups: mild type/common type group and severe/critical group, and the differences in general information and inflammation index of the two groups were compared. Logistic regression was used to analyze the inflammation index and the severity of COVID-19. Receiver operating characteristic (ROC) curve was draw to evaluate the predictive value of early inflammation indicators for severe/critical in patients with COVID-19.Results:A total of 140 patients with COVID-19 were included, 74 males and 66 females; the average age was (45±14) years old; 6 cases (4.3%) of mild type, 107 cases (76.4%) of common type, and 22 cases (15.7%) of severe type, 5 cases (3.6%) were critical. There were significantly differences in ages (years old: 43±13 vs. 57±13), the proportion of patients with one chronic disease (17.7% vs. 55.6%), C-reactive protein [CRP (mg/L): 7.3 (2.3, 21.0) vs. 40.1 (18.8, 62.6)], lymphocyte count [LYM (×10 9/L): 1.3 (1.0, 1.8) vs. 0.8 (0.7, 1.1)], the neutrophil/lymphocyte ratio [NLR: 2.1 (1.6, 3.0) vs. 3.1 (2.2, 8.8)] and multilobularinltration, hypo-lymphocytosis, bacterial coinfection, smoking history, hyper-tension and age [MuLBSTA score: 5.0 (3.0, 5.0) vs. 5.0 (5.0, 7.0)] between mild/common group and severe/critical group (all P < 0.05). Univariate Logistic regression analysis showed that CRP, NLR, MuLBSTA score, age, and whether chronic diseases were associated with the severity of COVID-19 [odds ratio ( OR) and 95% confidence interval (95% CI) were 1.037 (1.020-1.055), 1.374 (1.123-1.680), 1.574 (1.296-1.911), 1.082 (1.042-1.125), 6.393 (2.551-16.023), respectively, all P < 0.01]. Further multivariate Logistic regression analysis showed that CRP and MuLBSTA score were risk factors for the development of COVID-19 to severe/critical cases [OR and 95% CI were 1.024 (1.002-1.048) and 1.321 (1.027-1.699) respectively, both P < 0.05]. ROC curve analysis showed that the area under the curve for CRP and MuLBSTA score to predict severe/critical cases were both 0.818, and the best cut-off points were 27.4 mg/L and 6.0 points, respectively. Conclusion:CRP and MuLBSTA score are related to the severity of COVID-19, and may have good independent predictive ability for the development of severe/critical illness.
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Objective:To evaluate the imaging features of CT scan in patients with COVID-19.Methods:Clinical data of 56 patients with COVID-19 from January 17 to 19, 2020 admitted to Wenzhou Central Hospital and the Second Affiliated Hospital of Wenzhou Medical University were retrospectively reviewed. The clinical manifestations, lung imaging characteristics and treatment outcomes of patients with different severity were analyzed with SAS software.Results:Fever (92.8%, 52/56), dry cough (75.0%, 42/56) and asthenia (58.9%, 33/56) were the first symptoms in most of the patients; some patients also had shortness of breath (25.0%, 14/56) and pharyngeal pain (10.7%, 6/56). Chest high-resolution CT scan showed that in 42 moderate patients, ground glass-like high-density shadows in the lung were observed in 30 cases (71.4%) ; localized plaque consolidation shadows and bronchial inflation signs were observed in 10 cases (23.8%). In 12 severe patients, 11 had high-density patches involving multiple lung lobes (≥3). In 2 critically ill patients the patches and stripes involving the entire lung were observed; and cord-like high-density shadow, local consolidation and fibrosis were also shown.Conclusion:The multiple ground-glass changes outside the lungs are early imaging manifestations of COVID-19 patients. The increase in pulmonary lobe consolidation and fibrosis may indicate the disease progression, and the degree of lung consolidation and fibrosis is closely related to the disease severity.
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Objective To compare the effects of Carvedilol.Bisoprolol therapies for patients with chronic heart failure(CHF). Methods 80 patients with CHF were divided into carvedilol group(40 cases) ,Bisoprolol group (40 cases) ;The two groups were treated respectively with Carvedilol or Bisoprolol in addition to the above conventional therapy. The indicators of heart rate( HR),blood pressure( BP) ,left ventricular end-diastolic diameter( LVEDD) , left ventricular end-systolic diameter( LVESD) ,left ventricular ejection fraction(LVEF) ,6min walking test distance (6min walk) were observed after treatment and before treatment. Results Total effective rates were 82.5% and 87.5% in Carvedilol group and the Bisoprolol group,There was no statistically significant difference between two groups(χ2 =2. 18,P>0.05) ;The indicators of HR,SBP,DBP,LVEDD,LVESD after treatment were lower than before treatment ( all P < 0.05); LVEF, and 6min walk were higher than before treatment (all P < 0.05). Conclusion Bisoprolol and Carvedilol could significantly improve cardiac function in patients with heart failure.