Development and Assessment of Augmented Reality Technology for Using in an Equipment Maintenance and Diagnostic System

This study presented work considering the development and initial assessment of an augmented reality approach to provide a user interface for operators that could be a part of an equipment maintenance and diagnostics system. Its purpose was to provide an equipment system for graduate students of engineering and technology to experiment with the design of augmented reality technology. The proposed system took place three hours per week over a period of four weeks of corrective actions that were triggered in the Department of Industrial Education and Technology at the National Changhua University of Education, Taiwan. The students adopted augmented reality technology to achieve big data acquisition and analysis for pre-diagnostic and maintenance applications. Preliminary assessment of the proposed system was encouraging and showed that it achieved success in helping students understand concepts and using augmented reality technology for equipment maintenance and diagnostics. The study provided important initial insights into its impact on student learning.

Expansion augmented reality technology applied to the maintenance and diagnosis of equipment

This study uses the expansion augmented reality technology combined with the virtual integration networking platform to realize the maintenance and diagnosis of equipment guarantee for engineers in the factory production line, as well as the establishment of the basic process of equipment operation, regular inspection of equipment to maintain the normal operation of production line equipment major tasks. Equipment operators in factory production lines are subject to rigorous education and training, with varying quality differences among employees, and some require experienced operators to be effective in achieving operational efficiency. In addition, in response to the rapid changes in the global pneumonia epidemic (COVID-19) and the mature development of Internet of Things technology to change the operating mode of most industries in Taiwan, the problem of personnel diversion to work groups, the data adjustment of traditional production line equipment parameters depended on paper records, data experience is not easy to pass on. © 2021 IEEE.

Preliminary findings on patient satisfaction with telepsychiatry-a systematic review

Introduction: During the COVID-19 pandemic, mental health services have been presented with the unique challenge of providing effective and safe patient care whilst maintaining safety regulations. Telepsychiatry has emerged as a potential solution to this and is now being used across the UK to diagnose and manage mental health conditions. Evidence has shown that its effectiveness is comparable to face to face consultations, however, is much less clear regarding patient satisfaction. We therefore initiated a systematic review to establish whether patients are satisfied with tele-delivery of psychiatric care, and to identify the predictors of a positive experience with telepsychiatry. Methods: A preliminary search was performed using five databases (MEDLINE, EMBASE, Cochrane Library, CINAHL, PsycINFO), with a date restriction between 2010-2020 to reflect advances in technology over the past decade. Results: Preliminary data shows that patient views on telepsychiatric services are largely positive. Factors that arose in literature potentially affecting this include location, cost, privacy, digital literacy and technological issues including audio/video quality. Conclusion: Our study so far shows that patient views on telepsychiatry are generally positive. The review is still in process, however, we anticipate that it will only further support our preliminary findings. These findings will be used to improve patient-centred delivery and provision of telepsychiatric services. We intend to produce a checklist of factors affecting patient satisfaction and test this in a national multicentre study. We are hoping that the study results and the resulting checklist will encourage greater patient involvement in setting up and delivering telepsychiatric services.

[Analysis of CT features of 15 children with 2019 novel coronavirus infection].

Objective: To explore imaging characteristics of children with 2019 novel coronavirus (2019-nCoV) infection. Methods: A retrospective analysis was performed on clinical data and chest CT images of 15 children diagnosed with 2019-nCoV infection. They were admitted to the Third People's Hospital of Shenzhen from January 16 to February 6, 2020. The distribution and morphology of pulmonary lesions on chest CT images were analyzed. Results: Among the 15 children, 5 were males and 10 females, aged from 4 to 14 years. Five of the 15 children were febrile and 10 were asymptomatic on the first visit. The first nasal or pharyngeal swab samples in all the 15 cases were positive for 2019-nCoV nucleic acid. For their first chest CT images, 6 patients had no lesions, while 9 patients had pulmonary inflammatory lesions. Seven cases had small nodular ground glass opacities and 2 cases had speckled ground glass opacities. After 3 to 5 days of treatment, 2019-nCoV nucleic acid in a second respiratory sample turned negative in 6 cases. Among them, chest CT images showed less lesions in 2 cases, no lesion in 3 cases, and no improvement in 1 case. The remaining 9 cases were still positive in a second nucleic acid test. Six patients showed similar chest CT inflammation, while 3 patients had new lesions, which were all small nodular ground glass opacities. Conclusions: The early chest CT images of children with 2019-nCoV infection are mostly small nodular ground glass opacities. The clinical symptoms of children with 2019-nCoV infection are nonspecific. Dynamic reexamination of chest CT and nucleic acid are important.

[Analysis of CT features of 15 Children with 2019 novel coronavirus infection].

Objective: To explore imaging characteristics of children with 2019 novel coronavirus (2019-nCoV) infection. Methods: A retrospective analysis was performed on clinical data and chest CT images of 15 children diagnosed with 2019-nCoV. They were admitted to the third people's Hospital of Shenzhen from January 16 to February 6, 2020. The distribution and morphology of pulmonary lesions on chest CT images were analyzed. Results: Among the 15 children, there were 5 males and 10 females, aged from 4 to 14 years old. Five of the 15 children were febrile and 10 were asymptomatic on first visit. The first nasal or pharyngeal swab samples in all the 15 cases were positive for 2019-nCoV nucleic acid. For their first chest CT images, 6 patients had no lesions, while 9 patients had pulmonary inflammation lesions. Seven cases of small nodular ground glass opacities and 2 cases of speckled ground glass opacities were found. After 3 to 5 days of treatment, 2019-nCoV nucleic acid in a second respiratory sample turned negative in 6 cases. Among them, chest CT images showed less lesions in 2 cases, no lesion in 3 cases, and no improvement in 1 case. Other 9 cases were still positive in a second nucleic acid test. Six patients showed similar chest CT inflammation, while 3 patients had new lesions, which were all small nodular ground glass opacities. Conclusions: The early chest CT images of children with 2019-nCoV infection are mostly small nodular ground glass opacities. The clinical symptoms of children with 2019-nCoV infection are nonspecific. Dynamic reexamination of chest CT and nucleic acid are important.