范文编号:JD593 附外文翻译,范文字数:19896,页数:30 摘 要 随着科学技术的发展,工业的自动化,人们越来越关心人与工作环境之间的相互影响问题,如何深入准确的评价环境因素对工作人员的影响,已成为现在研究的主要课题之一。由于心率变异(HRV)蕴涵着心血管神经及体液调节的大量信息。心率变异性分析是近年来心电信号处理领域的研究热点,它对于相关疾病的无创检测具有重要的临床意义。30年来随着仪器设备的软硬件改进及临床的广泛应用,HRV监测的价值越来越受到国内外学者的重视。本文从“软件即是仪器”的思想出发,设计了基于虚拟仪器的人体心率变异监测系统。系统运用虚拟仪器应用软件强大的功能对三个连续阶段的心率变异信号进行实时采集、在线分析任务,同时系统具有较强的可扩展性和灵活性。本课题主要完成平台的系统硬件组成,实现软硬件结合的各项功能,即实现心率变异信号检测、采集、存储、分析。对心率变异进行时域分析和AR模型的频域分析,从中提取有用的神经信息,应用于心血管疾病临床诊断。 With the development of science and technology, industry automation, people more and more concern with the mutual influence question between human and working environment. How to thorough accurately assess the impact of environmental factors on the staffs, has now become one of the main topics studies. Heart rate variability (HRV) is containing massive information of the cardiovascular nerve and the body fluid adjustment. In recent years, the heart rate variability analysis is a research hot spot on the heart electrical signal processing domain. It has the vital clinical significance for the not-created examination of correlation disease. For 30 years, along with the improvement of instrumentation equipment software and hardware and the clinical widespread application, the domestic and foreign scholars more and more value the HRV monitor. With the thought “the software is the instrument”, this article has designed the human heart rate variability monitor system base on the virtual instrument. The system uses the power function of virtual instrument’s application software, and completes real-time acquisition, the online analysis duty to three continual stage’s heart rate variability signals. The system platform has the strong extendibility and the flexibility. This topic mainly completes the platform’s hardware makeup, and realizes each function of software and hardware. Namely realize heart rate variability signal checking, acquisition, store and analysis. Carry on the time domain analysis and the AR model frequency domain analysis to the heart rate variability, getting the useful nerve information, applied in the cardiovascular disease clinical diagnosis.
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