Impedance cardiography (ICG) is essential in evaluating cardiac function in patients with cardiovascular diseases. Aiming at the problem that the measurement of ICG signal is easily disturbed by motion artifacts, this paper introduces a de-noising method based on two-step spectral ensemble empirical mode decomposition (EEMD) and canonical correlation analysis (CCA). Firstly, the first spectral EEMD-CCA was performed between ICG and motion signals, and electrocardiogram (ECG) and motion signals, respectively. The component with the strongest correlation coefficient was set to zero to suppress the main motion artifacts. Secondly, the obtained ECG and ICG signals were subjected to a second spectral EEMD-CCA for further denoising. Lastly, the ICG signal is reconstructed using these share components. The experiment was tested on 30 subjects, and the results showed that the quality of the ICG signal is greatly improved after using the proposed denoising method, which could support the subsequent diagnosis and analysis of cardiovascular diseases.
【摘要】 目的 利用人體成分分析儀測定腫瘤化療患者人體組成,進而探討腫瘤化療患者人體成分組成特點及與營養狀況的關系。 方法 用人體成分分析儀于2008年4-5月對50例腫瘤化療患者行人體成分測定并分析。 結果 腫瘤化療患者人體細胞內液、外液,體內水分、蛋白質、礦物質、骨骼肌含量等成分存在不足,且有30％的腫瘤化療患者體脂肪含量過剩,40％體脂肪百分比超標。 結論 腫瘤化療患者由于疾病自身的高消耗,化療藥物對機體的影響,導致攝入不足,營養狀況較差,各成分含量均異常。其營養問題應受到重視,并采取積極有效的營養支持以改善營養狀況。【Abstract】 Objective To detect the body compositions of patients with carcinoma who had undergone chemotherapy, and to analyze the features of the composition and its relationship with nutritional status. Methods Bioelectrical impedance analyzer was used to measure and analyze the body compositions of 50 patients who was underwent chemotherapy from April to May 2008. Results The compositions such as intracellular and extracellular water, total body water, protein, minerals, skeletal muscle mass were insufficient in patients who had undergone chemotherapy; 30% of the patients had excess body fat, and 40% of the patients′ body fat percent was over standard. Conclusion Because of the high consumption of disease itself and the effects of chemotherapy drugs on the body, the intake of the patients who have undergone chemotherapy is insufficient and the nutritional status is poor. We should actively evaluate their nutritional status and do some effective nutritional supports to improve the nutritional status of patients with carcinoma who have undergone chemotherapy.
Temporomandibular joint disorder (TMD) is a common oral and maxillofacial disease, which is difficult to detect due to its subtle early symptoms. In this study, a TMD intelligent diagnostic system implemented on edge computing devices was proposed, which can achieve rapid detection of TMD in clinical diagnosis and facilitate its early-stage clinical intervention. The proposed system first automatically segments the important components of the temporomandibular joint, followed by quantitative measurement of the joint gap area, and finally predicts the existence of TMD according to the measurements. In terms of segmentation, this study employs semi-supervised learning to achieve the accurate segmentation of temporomandibular joint, with an average Dice coefficient (DC) of 0.846. A 3D region extraction algorithm for the temporomandibular joint gap area is also developed, based on which an automatic TMD diagnosis model is proposed, with an accuracy of 83.87%. In summary, the intelligent TMD diagnosis system developed in this paper can be deployed at edge computing devices within a local area network, which is able to achieve rapid detecting and intelligent diagnosis of TMD with privacy guarantee.
ObjectiveTo investigate the relationship between platelets changes and outcomes of acute respiratory distress syndrome (ARDS) patients.MethodsA total of 275 ARDS patients treated in Zhongshan Hospital of Fudan University were retrospectively enrolled from 2008 to 2015. Their clinical characteristics, experimental test results and disease outcomes were obtained from the archived medical records. The correlation between the decreasing of platelet within three days and the prognosis of ARDS and in each subgroup were analyzed by statistical methods, including COX analysis and Kaplan-Meier curve.ResultsThere were 233 patients validly selected through eliminating those with exclusion criteria. They were divided into a decreasing group and a non-decreasing group according to their platelet counts in three days. There was significant difference in the ontcome between the two groups with the univariate analysis, the COX analysis and Kaplan-Meier curve (all P<0.05). According to the initial platelet count and change of platelet in 3 days all the patients were categorized into 9 subgroups. The mortality among them was compared and two risk groups were defined, including a persistently low platelet group (the initial platelet count <139×109/L with an increase less than 16×109/L during the first three days after the diagnosis), and a decreased platelet group (the initial platelet count ≥139×109/L and platelet count decreased more than 30×109/L during the first three days after the diagnosis). The other subgroups made up a non-risk group. Merging two risk groups as one risk group and comparing with the non-risk group, there were significant differences in the outcome between two groups with the univariate analysis, the multiplicity COX analysis and Kaplan-Meier curve (all P<0.05), the differences of coagulation function indexes were not significant (allP>0.05). The platelet count of the risk group was also an independent risk factor for ARDS mortality in the surgery subgroup (P=0.003), the non-hypertension subgroup (P=0.018) and the pneumonia subgroup (P<0.001).ConclusionLow platelets and declining platelets are closely associated with poor prognosis in most ARDS patients, which might be applied in clinical prognosis evaluation.
ObjectiveTo analyze the relationship between medication compliance of patients with uncontrolled asthma and lung function,airway inflammation level, asthma control level and quality of life so as to obtain important references for improving patient compliance and asthma control level in the future. MethodsQuestionnaires were performed in asthma patients who did not achieve asthma control and had poor compliance in 32 third-class hospitals in 28 provinces of China mainland. All patients were tested for lung function and airway inflammation levels. So the relevant data of asthma compliance was investigated and analyzed. ResultsA total of 923 patients were investigated and the questionnaire recovery rate was 100%. Two hundred and forty-three (26.33%) answered cognitive related questions about asthma completely correctly. Treatment compliance in asthma patients was positively correlated with lung function and significantly negatively correlated with exhaled nitric oxide. Better treatment compliance in asthma has higher level of asthma control and quality of life. Poor compliance in asthma patients will lead to decreased lung function and elevated levels of airway inflammation, resulting in decreased asthma control and quality of life. ConclusionAsthma treatment compliance is related to lung function, airway inflammation, asthma control level and quality of life.
