To study the relationship between surface electromyography (sEMG) and joint movement, and to provide reliable reference information for the exoskeleton control, the sEMG and the corresponding movement of the knee during the normal walking of adults have been measured. After processing the experimental data, the estimation model for knee movement from sEMG was established using the novel method of random forest with principal component analysis (RFPCA). The influence of the sample size and the previous sEMG data on the prediction efficiency was analyzed. The estimation model was not sensitive to the sample size when samples increased to a certain value, and the results of different previous sEMG showed that the prediction accuracy of the estimation models did not always improve with the increasing features of input. By comparing the estimation model of back propagation neural network with principal component analysis (BPPCA), it was found that RFPCA was suitable for all participants in the experiment with less execution time, and the root mean square error was around 5 • which was lower than BPPCA with errors varying from 7 • to 25 • . Therefore, it was concluded that the RFPCA method for the estimation of knee movement from sEMG is feasible and could be used for motion analysis and the control of exoskeleton.
Background: With the progresses in medical development in recent years, plasma homocysteine (Hcy) levels are considered to be an independent risk factor for the development of coronary heart disease (CHD).We hope to use the method of meta-analysis to systematically evaluate the relationship between plasma Hcy levels and CHD, for providing a basis for the prevention, diagnosis and treatment of CHD.
Methods:The PubMed, Cochrane and Embase databases were searched for case-control studies and cohort studies on the association between plasma Hcy levels and CHD from the database establishment to October 2021. Duplicate studies were re-excluded by Endnote X9 software. The risk of bias was assessed using the Newcastle-Ottawa Scale (NOS) scale. All of the studies we included were studies with no confirmed CHD and recorded Hcy levels. The data were extracted, and the quality was evaluated. Data were recorded and meta-analyzed using Stata 15.1 software. The risk ratio (RR) values were combined with 95% confidence interval (CI) using fixed-or random-effects models. Finally, sensitivity analysis was used to assess the reliability of the results. A funnel plot was used to evaluate the publication bias of the literature.Results: A total of 10 studies with a total of 10,103 subjects were included. All studies were of case-control studies or cohort studies with good quality. Meta-analysis showed that for every 5 μmol/L increase in Hcy level, the pooled risk ratio of coronary events was 1.22, 95% CI: 1.11, 1.34. These results demonstrate that when plasma Hcy level increased, the risk of CHD also increased.Conclusions: Compared with traditional risk factors, the incidence of CHD increases by 22% for every 5 μmol/L increase in plasma Hcy levels. This mean that clinicians can timely take preventive measures for coronary heart disease when the patients' elevated plasma Hcy.
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