Objective To design an image processing system for skeletal measurement of arch,calcaneus and knee joint.Methods The image processing system had its hardware part composed of an image acquisition system,a body mass measurement system and a height measurement system.The image acquisition system consisted of an arch image acquisition module,a calcaneus image acquisition modue and a knee joint image acquisition module;the height measurement system included mainly a height meter component with a mechanically retractable structure;the body mass measurement system used CZL902 sensor combined with the hardware architecture to determine the body mass.The software system of the image processing system was developed with C#language and the application program interface was constructed by combining WinForm technique.Thirty-two healthy children and adult volunteers without significant foot or knee disease were recruited to assess the reliability and validity of the system by means of the consistency testing method.Results The system developed gained high reliability in the reliability and validity of the data on arch,calcaneus and knee joint(intragroup coefficient>0.75,P<0.05),and all the indexes except ankle sapcing width had higher intra-and inter-tester reliablity for the child volunteers than for the adult ones.Conclusion The system developed with high convenience and accuracy can be used for skeletal measurement of arch,calcaneus and knee joint.[Chinese Medical Equipment Journal,2025,46(10):36-40]

Objective To design an image processing system for skeletal measurement of arch,calcaneus and knee joint.Methods The image processing system had its hardware part composed of an image acquisition system,a body mass measurement system and a height measurement system.The image acquisition system consisted of an arch image acquisition module,a calcaneus image acquisition modue and a knee joint image acquisition module;the height measurement system included mainly a height meter component with a mechanically retractable structure;the body mass measurement system used CZL902 sensor combined with the hardware architecture to determine the body mass.The software system of the image processing system was developed with C#language and the application program interface was constructed by combining WinForm technique.Thirty-two healthy children and adult volunteers without significant foot or knee disease were recruited to assess the reliability and validity of the system by means of the consistency testing method.Results The system developed gained high reliability in the reliability and validity of the data on arch,calcaneus and knee joint(intragroup coefficient>0.75,P<0.05),and all the indexes except ankle sapcing width had higher intra-and inter-tester reliablity for the child volunteers than for the adult ones.Conclusion The system developed with high convenience and accuracy can be used for skeletal measurement of arch,calcaneus and knee joint.[Chinese Medical Equipment Journal,2025,46(10):36-40]

To develop a method for the rapid monitoring of five components during the alcohol precipitation process of Shenzhiling oral solution using near infrared spectroscopy(NIRS).The contents of five components detemined by high performance liquid chromatography(HPLC) were used as the reference values, and the NIRS based partial least square regression(PLSR) models were used to monitor the concentrations of paeoniflorin, albiflorin, liquiritin, cinnamic acid and glycyrrhizic acid during the alcohol precipitation process of Shenzhiling oral solution, which were optimized and verified through comparing of different spectral pre-processing and variables selection methods. Determination coefficients(Rcal2 and Rpred2), root mean squares error of prediction (RMSEP), root mean squares error of calibration(RMSEC) and ratiao of performance to deviation(RPD) were applied to evaluate the performance of the models, and the corresponding values were 0.993 3 and 0.997 6, 0.084 9 g•L⁻¹, 0.073 3 g•L⁻¹ and 14.7 for paeoniforin; 0.991 4, 0.992 7, 0.028 1 g•L⁻¹, 0.030 5 g•L⁻¹ and 10.2 for albiforin; 0.955 3, 0.976 1, 0.012 0 g•L⁻¹, 0.012 3 g•L⁻¹ and 5.1 for liquiritin; 0.958 8, 0.990 3, 0.003 89 g•L⁻¹, 0.002 89 g•L⁻¹ and 7.1 for cinnamic acid; 0.982 0, 0.986 3, 0.053 8 g•L⁻¹, 0.059 0 g•L⁻¹, 7.2 for glycyrrhizic acid, respectively. The results indicated that the presented approach was effectively for the quantitative monitoring of the alcohol precipitation process of Shenzhiling oral solution.