摘要
以德州仪器TM4C ARM微处理器为控制核心,运用传感器、A/D转换、滤波放大、ARM信号处理、语音输出等技术手段,设计了一个心音信号综合采集分析诊断系统。首先语音播报模块帮助用户操作,再采用传感器对人体的心音信号进行采集,经过信号预处理模块对信号进行滤波放大等处理,通过ARM将采集到的数据进行A/D转换、心音分离、初步诊断并用扬声器播报输出。结果表明,设计的系统能很好地去除心音噪声,并可分离出第一与第二心音,给出初步诊断结果,并可将测试结果传至社区医疗数据库,为远程医疗提供一个有益的尝试。
A heart sound signal integrated acquisition and analysis system was designed,take TI TM4C ARM microprocessor as the control center,sensors,A/D conversion,filter amplification,ARM signal processing and voice output were used.First of all,the voice broadcast module helps the user to operate,and then uses the sensor to collect the heart sound signals of the human body.After the signal preprocessing module filters and amplifies the signal,the data is collected by the ARM undergoes A/D conversion,heart sound separation and preliminary diagnosis,the speaker broadcast output is used.The results show that the designed system can remove the noise of the heart sound well and separate the first and second heart sounds well to give the preliminary diagnosis results.The test results can be transferred to community health database,it is a useful attempt to telemedicine.
作者
孙科学
杨雨诺
张国林
成谢锋
SUN Ke-xue;YANG Yu-nuo;ZHANG Guo-lin;CHENG Xie-feng(College of Electronic and Optical Engineering,Nanjing University of Posts and Telecommunications,Nanjing 210023,China;The National Virtual Simulation Experiment Teaching Center of Information Electronic Technology,Nanjing University of Posts and Telecommunications,Nanjing 210023,China;Tongda College of Nanjing University of Posts and Telecommunications,Yangzhou 225127,China)
出处
《实验室科学》
2018年第6期175-178,共4页
Laboratory Science
基金
江苏省高校自然科学研究面上项目(项目编号:15KJD510001)
江苏省研究生实践创新计划(项目编号:SJCX18_0286)
江苏高校品牌专业建设工程资助项目(TAPP)
南京邮电大学实验室工作研究重点课题(项目编号:2016XSG02)
南京邮电大学教学改革重点课题(项目编号:JG03317JX01)
南京邮电大学通达学院教学改革重点课题(项目编号:JG30517001)
南京邮电大学信息电子技术国家级虚拟仿真实验教学中心虚拟仿真项目(项目编号:虚拟201803)
关键词
心音采集
心音分离
ARM
heart sound acquisition
heart sound segmentation
ARM