1.Informatization Construction of Disease Prevention and Control in the United States and Its Enlightenment to the People's Armed Police Forces
Qidong WANG ; Wen GUO ; Jun YANG ; Haoting LI ; Zhenyu LI ; Bojun LU ; Guang ZHU
Journal of Medical Informatics 2017;38(7):51-55
The paper sorts out the achievements in informatization construction of disease prevention and control in the United States,summarizes the construction features,and puts forward the objective,requirements,functions and contents of Informatization construction of disease prevention and control of People's Armed Police forces in China based on its current situations.
2.Progress in clinical application of biomarkers for systemic lupus erythematosus
Chinese Journal of Laboratory Medicine 2020;43(9):939-944
Systemic lupus erythematosus (SLE), commonly seen in clinical cases, is a systemic inflammatory disease of connective tissue, which involves multiple systems and organs. It is mainly characterized by a wide range of clinical complications, such as lupus nephritis, neuropsychiatric lupus, and SLE-related cardiovascular events, however, the pathogenesis of SLE has not yet been elucidated. Early diagnosis is of great significance in estimating the severity of SLE, disease activity, predicting relevant progression, supervising therapeutic effects, as well as, improving prognosis. This review will mainly focus on the research advances in clinical application of auto-antibodies and biomarkers previously and recently discovered in patients who has been suffered from SLE.
3.A multifrequency time-difference electrical impedance tomography algorithm using spectral constraints.
Lu CAO ; Bin YANG ; Haoting LI ; Xuechao LIU ; Benyuan LIU ; Canhua XU ; Ruigang LIU ; Feng FU
Journal of Biomedical Engineering 2020;37(1):80-86
This study aims to propose a multifrequency time-difference algorithm using spectral constraints. Based on the knowledge of tissue spectrum in the imaging domain, the fraction model was used in conjunction with the finite element method (FEM) to approximate a conductivity distribution. Then a frequency independent parameter (volume or area fraction change) was reconstructed which made it possible to simultaneously employ multifrequency time-difference boundary voltage data and then reduce the degrees of freedom of the reconstruction problem. Furthermore, this will alleviate the illness of the EIT inverse problem and lead to a better reconstruction result. The numerical validation results suggested that the proposed time-difference fraction reconstruction algorithm behaved better than traditional damped least squares algorithm (DLS) especially in the noise suppression capability. Moreover, under the condition of low signal-to-noise ratio, the proposed algorithm had a more obvious advantage in reconstructions of targets shape and position. This algorithm provides an efficient way to simultaneously utilize multifrequency measurement data for time-difference EIT, and leads to a more accurate reconstruction result. It may show us a new direction for the development of time-difference EIT algorithms in the case that the tissue spectrums are known.