Aiming at the problems of tongue diagnosis instruments relying on manual operation,uneven illumination,color distortion and lack of dynamic information,an automated operation black box tongue diagnosis instrument based on machine vision is proposed.This instrument utilizes machine vision technology and image processing algorithms to achieve automatic positioning and automatic acquisition of tongue manifestations.High-resolution camera technology enables the acquisition of 3-second dynamic videos and high-quality static images.The performance test results show that,based on the dual-camera geometric projection calibration algorithm,the average time for tongue recognition is less than 0.15 seconds.The diffuse reflection light source improves the gray uniformity to 76.74%,and the maximum color difference in color reproduction degree is 19,which is better than the industry standard value of 25.The developed tongue diagnosis instrument will promote the objective,efficient and precise acquisition of tongue diagnosis in traditional Chinese medicine.

Aiming at the problems of tongue diagnosis instruments relying on manual operation,uneven illumination,color distortion and lack of dynamic information,an automated operation black box tongue diagnosis instrument based on machine vision is proposed.This instrument utilizes machine vision technology and image processing algorithms to achieve automatic positioning and automatic acquisition of tongue manifestations.High-resolution camera technology enables the acquisition of 3-second dynamic videos and high-quality static images.The performance test results show that,based on the dual-camera geometric projection calibration algorithm,the average time for tongue recognition is less than 0.15 seconds.The diffuse reflection light source improves the gray uniformity to 76.74%,and the maximum color difference in color reproduction degree is 19,which is better than the industry standard value of 25.The developed tongue diagnosis instrument will promote the objective,efficient and precise acquisition of tongue diagnosis in traditional Chinese medicine.

Objective:To explore the correlation between blood glucose level and parental education level in children with type 1 diabetes mellitus (T1DM) based on mobile health APP.Methods:The data of T1DM children enrolled in China′s T1DM registration management program and registered to use TangTangquan ? were collected, as well as the blood glucose monitoring information uploaded quarterly after registration. Children were divided into low education group (middle school or below) and high education group (junior college or above) according to their parents′ education level. Blood glucose levels were compared between the two groups at different time points. Spearman correlation analysis and multivariate logistic regression analysis were used to evaluate the correlation between blood glucose level and parents′ education level in children with T1DM. Results:A total of 2 263 eligible children with T1DM were included and 1 246 were female (55.1%). The median age was 7.9(4.4, 11.4)years and T1DM duration was 0.07(0.02, 0.46)years. Among them, 1 513 cases were in the low-education group while 750 cases were in the high-education group. Within three years after registration, the glucose levels of each interval in the low-education group were increasing gradually (all P<0.05 except post-breakfast glucose). The glucose levels of each interval in the high-education group in the third year were lower than those in the low-education group (all P<0.05 except nocturnal glucose). The result of multivariate logistic regression analysis showed that after the adjustment of factors including T1DM duration and treatment, parental educational levels were still the separate related factors of premeal glucose, bedtime glucose and nocturnal glucose (premeal glucose: OR=0.385, 95% CI: 0.164-0.874, P=0.025; bedtime glucose: OR=0.444, 95% CI: 0.204-0.949, P=0.038; nocturnal glucose: OR=0.226, 95% CI: 0.582-0.747, P=0.020). Conclusions:The blood glucose levels of children with T1DM were negatively associated with parental educational levels. It is suggested that parental educational levels should be taken into consideration in the management of T1DM for children.