基于综合智能信息的医疗数据采集平台  

Medical-data Acquisition Platform Based on Comprehensive Intelligence Information

作　　者：刘永俊[1,2] 刘亚 茆寿允 LIU Yongjun;LIU Ya;MAO Shouyun(School of Computer Science and Engineering,Changshu Institute of Technology,Changshu 215500;School of Computer Science and Engineering,Northeastern University,Shenyang 110819,China)

机构地区：[1]常熟理工学院计算机科学与工程学院,江苏常熟215500 [2]东北大学计算机科学与工程学院,辽宁沈阳110819

出　　处：《常熟理工学院学报》2018年第2期88-93,共6页Journal of Changshu Institute of Technology

基　　金：江苏省高校自然科学基金项目"微纳米光学图像特征分析及多维度测量"(15KJB520001);教育部赛尔网下一代互联网技术创新项目"基于IPV6的急危重症智慧医疗平台"(NGII20170709)

摘　　要：目前的医疗信息化仍处在设备自身数据传输提取阶段,而当前医院的设备错综复杂、接口不一,甚至有些设备陈旧,数据无法自动输出,只能靠医护人员手工抄写.基于综合智能信息的医疗数据采集平台采用OCR(Optical Character Recognition)技术,直接从屏幕界面上抓取直观数据,可以统一解决医疗设备新旧不一、数据接口不一致等造成的数据提取难题.该平台集成基于树莓派的嵌入式语音识别系统,用于解决由医护人员人工录入不方便、记录耗时等问题,将语音转换为文字或指令进行记录.最后通过socket(套接字)将信息传输到上位机中有效集成.本系统设计硬件结构简单,成本可控,系统稳定性好,适用范围广.At present,the medical informatization is still in the phase of data transmission and extraction by the equipment itself,but the current hospital equipment is complex with different interfaces.Worse still,some equipment is obsolete,so the data cannot automatically be output,depending on manual copying by medical staff.The medical data acquisition platform based on integrated intelligent information adopts OCR(optical character recognition)technology to capture the visual data directly from the screen interface,which can solve the problem of data extraction caused by the new and old medical equipment and inconsistent data interfaces.The platform integrates the embedded speech recognition system based on Raspberry Pi,which can be used to solve the problems of the inconvenient manual inputting and time-consuming recording and to convert speech into text or instruction.Finally,through the socket,the information is transmitted to the host computer in the effective integration.The system is designed with a simple hardware structure,controllable cost,good system stability and wide application range.

关 键 词：嵌入式系统 智慧医疗 字符识别 混合语音分离 语音识别 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]