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Medical Data Acquisition Platform Based on Synthetic Intelligence

机译:基于综合智能的医学数据采集平台

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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 Some of them are even outdated.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.
机译:如今,大多数医疗设备制造商仍在使用设备上的数据集成和传输。但是实际的医院情况很复杂。医疗设备具有不同的接口。其中一些甚至已经过时。这种情况使医疗数据无法自动导出。数据只能由医院工作人员手动复制。为了解决由于接口不兼容和设备版本不兼容导致的数据提取问题,我们基于综合信息实现了该医学数据采集平台。它使用OCR(光学字符识别)技术直接从屏幕界面收集直观数据。该平台还包括在Raspberry Pi上实现的嵌入式语音识别模块。语音识别系统通过将语音信号转换为文本和指令来解决人工记录数据所造成的耗时和不便的问题。最后,我们通过套接字将医疗数据上传到服务器,以实现有效的数据集成。系统硬件结构简单;成本得到控制。它具有良好的稳定性,可以在广泛的应用中使用。

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