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To explore the clinical features and endosonographic (EUS) features of gastric submucosal tumors, the connection of submucosal tumor features and pathological features are analyzed to increase the awareness of submucosal tumors. This study is based on 237 cases of gastric mucosal lesions from March 2015 to March 2019. Endoscopic ultrasonography was performed to record the size and origin of the lesions and to make the preliminary qualitative diagnosis of the lesions, where endoscopic resections have 186 cases. According to the actual lesion resection in endoscopic ultrasonography, the origin level of SMTs and the coincidence rate of endoscopic ultrasonography diagnoses are judged. Therefore, endoscopic ultrasonography has high localization, characterization, and differential diagnosis value for gastric mucosal lesions. Diagnosis of gastric mucosal lesions under endoscopic ultrasonography is helpful for the choice of endoscopic resection surgical method.

In mobile Internet of Things, there are many challenges, including sensing technology of sensors, how and when to join cooperative transmission, and how to select the cooperative sensors. To address these problems, we studied the combination forecasting based on the multilevel sensing technology of sensors, building upon which we proposed the adaptive opportunistic cooperative control mechanism based on the threshold values such as activity probability, distance, transmitting power, and number of relay sensors, in consideration of signal to noise ratio and outage probability. More importantly, the relay sensors would do self-test real time in order to judge whether to join the cooperative transmission, for maintaining the optimal cooperative transmission state with high performance. The mathematical analyses results show that the proposed adaptive opportunistic cooperative control approach could perform better in terms of throughput ratio, packet error rate and delay, and energy efficiency, compared with the direct transmission and opportunistic cooperative approaches.

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It is important to promote the development and application of hospital information system, community health service system, etc. However, it is difficult to realize the intercommunication between various information systems because it is not enough to realize the in-depth management of health information. To address these issues, we design the 5G edge computing-assisted architecture for medical community. Then, we formulate the directional data collection (DDC) problem to gather the EMR/HER data from the medical community to minimize the service error under the deadline constraint of data collection deadline. Moreover, we design the data direction prediction algorithm (DDPA) to predict the data collection direction and propose the data collection planning algorithm (DCPA) to minimize the data collecting time cost. Through the numerical simulation experiments, we demonstrate that our proposed algorithms can decrease the total time cost by 62.48% and improve the data quality by 36.47% through the designed system, respectively.

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In view of the high degree of personalization of embedded 3D printing products, traditional 3D printing is not applicable. This paper presents an embedded three-dimensional printing technology based on high elastic strain wireless sensor. The whole method framework includes mechanical system, control module and visual module. Firstly, three non-collinear points on the high elastic strain wireless sensor are used to align the guide plate and the model. Then, according to the position and direction of the guide hole on the high elastic strain wireless sensor, the mechanical system is controlled to guide the model guide hole to move to the center of the visual module. The characteristic parameters such as roundness, length-width ratio, diameter and center distance of the guide hole are analyzed to determine whether the guide hole is qualified. The experimental results show that compared with the traditional three-dimensional printer, the three-dimensional printer designed in this paper shortens the production cycle and improves the print resolution.