摘要
目的利用计算机软硬件技术构建多通道生理信号采集分析系统,为医学相关研究提供方法与工具。方法在基于虚拟仪器的软硬件平台下(软件为LabVIEW 8.2,硬件为生理信号检测电路和模/数转换电路)对系统进行设计,利用了数据采集(DAQ)卡配置方法、DAQ显示存储回放的实现方法及使用软件灵活地控制数据采集等关键技术。在系统扩展部分,利用该系统和对照系统对15例健康志愿者做了心血管参数检测的对比试验,并对试验结果进行了Pearson相关分析。结果很好地实现了各类生理信号的采集处理,并对系统功能进行了扩展,实现了生理信号的识别与分析。两种测量系统的检测结果之间具有良好的相关性,其中心率r=0.959,P<0.001,平均动脉压r=0.976,P<0.001,心搏出量r=0.877,P<0.001;心搏指数r=0.785,P<0.001;血管顺应性r=0.869,P<0.001。结论该系统可应用于各类生理信号的采集与分析,而且在生理机能实验及动物生理学实验等相关教学领域内也有较好的应用前景。
Objective To build a muhi-channel physiological signal acquisition and analysis system using computer hardware and software technique, and provide the methods and instruments for related medical research. Methods The system was designed based on the virtual instrument platform（software： LabVIEW 8.2; hardware： physiological signal detection and analog digital conversion circuit）, utilized several key techniques that included data acquisition card configuration, implementation of data collection, display, storage and playback, and control of data acquisition with software. In the part of system expansion, Pearson correlation between the current system and the reference system was performed, which was based on the cardiovascular parameters collected from 15 healthy volunteers. Results The system was well designed to implement the acquisition and procession of all kinds of physiological signals. In addition, the system was further expanded for the recognition and analysis of physiological signals. The detection results between the two systems were perfectly correlated, with heart rate r = 0.959 （P 〈 0.001）, mean arterial blood pressure r = 0.976（P 〈 0.001）, stroke volume r = 0.877（P 〈 0.001）, stroke index r = 0.785（P 〈 0.001） and arterial compliance r = 0.869 （P 〈 0.001）. Conclusion It is demonstrated that the system could be applied in all kinds of physiological signal acquisition and procession, and also in some teaching areas, such as physiological function experiments and animal physiology experiments.
出处
《生物医学工程与临床》
CAS
2011年第3期218-222,共5页
Biomedical Engineering and Clinical Medicine
关键词
生理信号
数据采集
虚拟仪器
生物医学信号分析
心血管参数检测
physiological signal
data acquisition
virtual instrument
biomedical signal analysis
cardiovascular parameter detection
