Abstract
Nowadays, most medical device manufacturers are still using on-device data integrating and transmitting. However the real hospital situation is complex. Medical devices have different interfaces. Some of them are even outdated. This situation makes medical data can’t be automatically exported. Data can only be copied by hospital staff manually. In order to solve this data extraction problem caused by interface incompatibility and device version incompatibility, we implemented this medical data acquisition platform base on synthetic information. It uses OCR (Optical Character Recognition) technology to collect intuitive data directly from the screen interface. This platform also includes an embedded voice recognition module implemented on Raspberry Pi. The voice recognition system is used to solve the time consuming and inconvenience problem caused by manually data recording through transforming the voice signal into texts and instructions. Finally, we upload medical data to the server through the socket for effective data integration. The system hardware structure is simple; cost is under control. It has good stability and can be used in a wide range of applications.
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Acknowledgements
This work was supported by the Next Generation Internet Technology Innovation Project of CERNTE under grant No. NGII20170709, the Natural Science Foundation of Jiangsu Province under grant No. 15KJB520001.
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Gu, Z., Liu, Y., Zhang, M. (2018). Medical Data Acquisition Platform Based on Synthetic Intelligence. In: Meng, X., Li, R., Wang, K., Niu, B., Wang, X., Zhao, G. (eds) Web Information Systems and Applications. WISA 2018. Lecture Notes in Computer Science(), vol 11242. Springer, Cham. https://doi.org/10.1007/978-3-030-02934-0_26
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DOI: https://doi.org/10.1007/978-3-030-02934-0_26
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