A gait signal acquisition and parameter characterization method based on foot pressure detection combined with Azure Kinect system / 生物医学工程学杂志

The gait acquisition system can be used for gait analysis. The traditional wearable gait acquisition system will lead to large errors in gait parameters due to different wearing positions of sensors. The gait acquisition system based on marker method is expensive and needs to be used by combining with the force measurement system under the guidance of rehabilitation doctors. Due to the complex operation, it is inconvenient for clinical application. In this paper, a gait signal acquisition system that combines foot pressure detection and Azure Kinect system is designed. Fifteen subjects are organized to participate in gait test, and relevant data are collected. The calculation method of gait spatiotemporal parameters and joint angle parameters is proposed, and the consistency analysis and error analysis of the gait parameters of proposed system and camera marking method are carried out. The results show that the parameters obtained by the two systems have good consistency (Pearson correlation coefficient r ≥ 0.9, P < 0.05) and have small error (root mean square error of gait parameters is less than 0.1, root mean square error of joint angle parameters is less than 6). In conclusion, the gait acquisition system and its parameter extraction method proposed in this paper can provide reliable data acquisition results as a theoretical basis for gait feature analysis in clinical medicine.

Application of artificial intelligence remote screening system for diabetic retinopathy in Yinchuan community of Ningxia / 国际眼科杂志(Guoji Yanke Zazhi)

AIM:To evaluate the application effect of artificial intelligence(AI)assisted diagnosis system in screening diabetic retinopathy(DR)in Yinchuan Community, Ningxia Hui Autonomous Region.METHODS:From July 2020 to July 2021, fundus photograph of 2 707 eyes from 1 358 diabetic patients with type 2 diabetes in two communities of Ningxia and Yinchuan were included in this study. The Eye Wisdom AI assisted screening and diagnosis system was used to analyze automatically and detect the characteristic changes of DR, such as hemorrhage, microaneurysms and retinal microvascular abnormalities. The results of fundus photograph were automatically graded according to the standard of DR international stage standard. The manual analysis group gave feedback after image interpretation, analyzed the sensitivity, specificity, misdiagnosis rate and missed diagnosis rate of the AI-assisted screening system for DR diagnosis, and compared the consistency between AI and manual analysis. Kappa consistency test was performed for the results of AI screening system and manual analysis.RESULTS:Compared with manual analysis, the sensitivity, specificity, missed diagnosis rate and misdiagnosis rate of AI were 91.84%, 99.06%, 8.16% and 0.94% respectively. The Kappa value of consistency analysis of the two diagnosis results was 0.817(P<0.001). Compared with manual analysis, the sensitivity and specificity of AI group to diagnose non-DR were 99.06% and 91.84% respectively. The sensitivity and specificity of mild NPDR were 85.36% and 98.52% respectively. The sensitivity and specificity of moderate NPDR were 81.53% and 98.55% respectively. The sensitivity and specificity of severe NPDR were 70% and 99.51% respectively. The sensitivity and specificity of PDR were 86.67% and 99.63% respectively. The Kappa value of the consistency analysis of DR staging diagnosis was 0.878(P<0.01).CONCLUSION: The AI remote screening system adopted in this study showed good consistency with the results of manual analysis, which can meet the needs of DR screening and provide a new effective prevention and treatment mode for DR patients in the community.

Research on classification of benign and malignant lung nodules based on three-dimensional multi-view squeeze-and-excitation convolutional neural network / 生物医学工程学杂志

Lung cancer is the most threatening tumor disease to human health. Early detection is crucial to improve the survival rate and recovery rate of lung cancer patients. Existing methods use the two-dimensional multi-view framework to learn lung nodules features and simply integrate multi-view features to achieve the classification of benign and malignant lung nodules. However, these methods suffer from the problems of not capturing the spatial features effectively and ignoring the variability of multi-views. Therefore, this paper proposes a three-dimensional (3D) multi-view convolutional neural network (MVCNN) framework. To further solve the problem of different views in the multi-view model, a 3D multi-view squeeze-and-excitation convolution neural network (MVSECNN) model is constructed by introducing the squeeze-and-excitation (SE) module in the feature fusion stage. Finally, statistical methods are used to analyze model predictions and doctor annotations. In the independent test set, the classification accuracy and sensitivity of the model were 96.04% and 98.59% respectively, which were higher than other state-of-the-art methods. The consistency score between the predictions of the model and the pathological diagnosis results was 0.948, which is significantly higher than that between the doctor annotations and the pathological diagnosis results. The methods presented in this paper can effectively learn the spatial heterogeneity of lung nodules and solve the problem of multi-view differences. At the same time, the classification of benign and malignant lung nodules can be achieved, which is of great significance for assisting doctors in clinical diagnosis.

Consistency analysis of OCT image by artificial intelligence recognition and ophthalmologist's recognition for age-related macular degeneration / 国际眼科杂志(Guoji Yanke Zazhi)

@#AIM: To investigate the feasibility of artificial intelligence(AI)in reading retinal optical coherence tomography(OCT)images of age-related macular degeneration(ARMD)in clinic. <p>METHODS: From November 2019 to November 2021, a total of 1 579 OCT images were collected in the outpatient department, and the imaging results of ophthalmologist and AI were collected. The Kappa consistency test of classification results without ARMD and with ARMD were analyzed. <p>RESULTS: The Kappa coefficients of the judgement of ophthalmologists about ARMD was 0.934. The Kappa coefficients between AI and ophthalmologists was 0.738. The sensitivity, specificity and area under curve(AUC)of AI to ARMD were 73.08%, 95.07% and 0.841 respectively. <p>CONCLUSION: AI has a high consistency with ophthalmologists in the recognition of ARMD based on OCT images, which is suitable for primary hospitals to complete the early screening and early referral of ARMD.

Consistency between nasopharyngeal aspirates and bronchoalveolar lavage fluid in pathogen detection in children with pneumonia: an analysis of 533 cases / 中国当代儿科杂志

OBJECTIVES@#To study the consistency between nasopharyngeal aspirates (NPA) and bronchoalveolar lavage fluid (BALF) in pathogen detection in children with pneumonia@*METHODS@#A retrospective analysis was performed on the data of pathogens detected in 533 children with pneumonia from February 2017 to March 2020. The paired McNemar's test was used to compare the difference in pathogen detection between NPA and BALF groups. The @*RESULTS@#NPA had a sensitivity of 28%, a specificity of 74%, a positive predictive value of 14%, and a negative predictive value of 91% in detecting bacteria, and a @*CONCLUSIONS@#There is poor consistency between NPA and BALF in the detection of bacteria and viruses, and clinicians should be cautious in diagnosing lower respiratory tract infection based on bacteria or viruses detected in NPA. There is moderate consistency between NPA and BALF in the detection of

Suitability survey on N95 filter masks for public health emergency personnel / 上海预防医学

Objective To assess the suitability of N95 masks for public health emergency personnel. To compare the consistency between mask fit test result and subjective evaluation of mask-wearing air tightness so as to guide scientific selection and use of protection masks for emergency personnel. Methods By ambient aerosol condensation nuclear counter method, the quantitative fit test was done among 235 public health emergency personnel from both Municipal and District disease control centers. Questionnaires were conducted among them for investigation and comparison of their subjective evaluation of mask-wearing air tightness and mask fit test results. Results Of the 235 subjects , 160 passed the fittest with the pass rate being 68.1%. With various wearing actions for the test, the subjective evaluation for mask-wearing air tightness was compared with the fit test pass rate in terms of consistence, the kappa value range being from −0.09 to 0.43. K value of the action 5 (loudly speaking) was above 0.4, while the k values of other 6 actions were all below 0.4. Both Kappa value (0.09) and consistency rate (49.7%) were the lowest for action 8 (normal breathing) among all test actions. Conclusion The accuracy of the subjective evaluation for mask-wearing air tightness proves to be poor, unable to reflect the true protective effect and substitute for the fit test. It is advised that the public health personnel should rely on the fit test results to correctly choose and use suitable respiratory protective products.

Suitability survey on N95 filter masks for public health emergency personnel / 上海预防医学

Objective To assess the suitability of N95 masks for public health emergency personnel, and to compare the consistency between mask suitability test result and subjective evaluation of mask air tightness so as to guide scientific selection and use of protection masks for emergency personnel. Methods By ambient aerosol condensation nuclear counter method, qualitative suitability test was done among 235 public health emergency personnel from both municipal and district disease control centers.Questionnaires were conducted among them for investigation and comparison of their subjective evaluation of mask air tightness and mask suitability test results. Results Of the 235 subjects, 160 passed the suitability test with the pass rate being 68.1%. With various wearing actions for the test, the subjective evaluation for mask air tightness was compared with suitability test pass rate in terms of consistence, the kappa value range being from -0.09 to 0.43.The kappa value of the action 5 (loudly speaking) was above 0.4, while the kappa values of other 6 actions were all below 0.4.Both kappa value (0.09) and consistency rate (49.7%) were the lowest for action 8 (normal breathing) among all test actions. Conclusion The accuracy of the subjective evaluation for air tightness of the mask proves to be poor, unable to reflect the true protective effect and unable to substitute the suitability test.It is advised that the public health personnel should rely on the suitability test results to correctly choose and use suitable respiratory protective products.

Simultaneous quantification and consistency analysis of 19 representative components in Longshengzhi Capsules by HPLC-QQQ/MS / 中国中药杂志

Longshengzhi capsule consisting of 12 herbs is widely used in clinically treating cerebral ischemia during recovery period.In this study,in order to investigate the consistency of different batches of Longshengzhi capsules,a high performance liquid chromatography coupled to triple quadrupole mass spectrometry method(HPLC-QQQ/MS) was developed for the determination of 19 representative components in Longshengzhi Capsules within 9 min. Methodology validation indicated this method was simple,rapid,accurate,highly sensitive and reproducible,and it could be used for the content determination of components in Longshengzhi Capsules. The consistency analysis results showed that paeoniflorin and calycosin-7-glucoside in Longshengzhi Capsules had the highest content; RSD value of total content of 19 compounds was 5. 2% and the RSD value of main compounds such as astragaloside and calycosin-7-glucoside was all less than 15%,reflecting good consistency among different batches. This study has provided a scientific method and basis for the quality control and consistency evaluation of Longshengzhi Capsules.

Contrastive analysis of corneal horizontal diameter measurement by five instruments / 国际眼科杂志(Guoji Yanke Zazhi)

@#AIM: To analyze the correlation and consistency of five corneal diameter measurements.<p>METHODS: Totally 25 cases(50 eyes)who underwent ICL implantation in West China Hospital. The preoperative horizontal corneal diameter was measured using measuring caliper, SIRIUS anterior eye assay system, IOL Master500, anterior segment OCT and UBM. <p>RESULTS: The mean WTW distances were 11.54±0.30 mm as obtained with measuring caliper, 11.77±0.33mm with SIRIUS anterior eye assay system, 11.98±0.33mm with IOL Master500, 11.63±0.35mm with anterior segment OCT and 11.53±0.34mm with UBM. No statistical difference was found between measuring caliper and UBM, measuring caliper and anterior segment OCT, UBM and anterior segment OCT. The linear correlation analysis found significant correlation between the measurements of the five measurements. The Bland-Altman analysis for the measuring caliper and SIRIUS, measuring caliper and UBM, measuring caliper and anterior segment OCT found that the absolute values of 95% LOA upper and lower limits were less than 0.5mm.<p>CONCLUSION: The results of the four kinds of corneal horizontal diameter measurements can be interchanged including SIRIUS, UBM, anterior segment OCT and measuring caliper. IOL Master500 results are the largest, that cannot be used as a diagnostic basis for measuring the size of corneal horizontal diameter. The results of other measurement equipment should be combined with clinical practice.

Comparison of corneal thickness measured by CASIA SS-1000 OCT and Sirius anterior eye assay system / 国际眼科杂志(Guoji Yanke Zazhi)

AIM:To compare CASIA SS-1000 and Sirius OCT sweep anterior segment analyzer instrument for measuring normal corneal vertex thickness (CCT) and the thinnest corneal thickness (TCT) results the difference,correlation and consistency,and provide a theoretical basis for clinical application.METHODS:This was a prospective study.A total of 34 normal subjects were collected.The subjects were measured by the same skilled operator.The SS-1000 OCT was first used,and then the corneal thickness was measured repeatedly by Sirius anterior segment analyzer.Paired t test and Bland-Altman were used to evaluate the consistency of corneal apex and corneal thinnest point between SS-1000 OCT and Sirius anterior segment analyzer.RESULTS:The mean corneal apex measured by SS-1000 OCT and Sirius corneal topography were 517.62± 25.29μm and 518.47±27.23μm CCT,respectively.The thinnest points of SS-1000 OCT and Sirius anterior segment analyzer CCT were 513.53±25.06μ m and 515.32± 26.69μm,respectively.Paired t test showed that the difference on corneal thickness of vertex was not statistically significant (P＞0.05),but the thinnest corneal thickness was statistically significant (P＜ 0.05).Pearson analysis of the two devices,the correlation is 0.969,0.965.The results of 95％ consistency limiting analysis on the corneal vertex thickness by Bland-Altman was (-14.22μm,12.52μm),that of the thinnest corneal thickness was (-15.61μm,12.03μm),4％ (3/68) was out of the 95％ consistency limiting,but the thinnest corneal thickness was of a little larger differences.CONCLUSION:SS-1000 OCT measurement of CCT and Sirius anterior segment analyzer is highly consistent,in clinical work can be considered alternative,but the thinnest point of the cornea can not be replaced each other.