消除医学信号采集中呼吸干扰的呼吸同步信号提取方法研究

发布时间：2018-01-07 04:24

本文关键词：消除医学信号采集中呼吸干扰的呼吸同步信号提取方法研究　出处：《中国生物医学工程学报》2016年05期 　论文类型：期刊论文

【摘要】：在多种现代医学信号采集过程中,呼吸活动会给采集信号带来不易消除的干扰。本研究提出一种呼吸同步信号提取方法,可以有效地解决这一问题。通过同步采集呼吸信号及待同步的医学信号,用呼吸同步算法判断每拍呼吸信号的峰、谷值,并结合精度要求在呼吸信号的峰/谷值两侧设置采样窗口,设置合适的同步模式,得到最优的同步信号。对于提取得到的呼吸同步信号,分别进行准确度和效率的分析。提取得到的呼吸同步信号的准确度达到99.88%,不同同步模式及阈值下呼吸同步信号的高电平占空比在16.15%~39.70%之间。所提出的方法可简单有效地减小呼吸对医学信号采集的影响,测量精度高,但会一定程度降低测量效率。测量精度和效率可根据要求通过调节采样窗口平衡,达到最佳效果。
[Abstract]:In the process of many kinds of modern medical signal acquisition, respiratory activity will bring the signal difficult to eliminate the interference. In this study, a method of extracting synchronous respiratory signal is proposed. This problem can be effectively solved by synchronously collecting respiratory signals and medical signals to be synchronized, and using the respiratory synchronization algorithm to determine the peak and valley value of each beat respiratory signal. In combination with precision requirements, sampling window is set on both sides of peak / valley value of respiratory signal to set the appropriate synchronization mode to get the optimal synchronous signal, and for the extracted respiratory synchronization signal. The accuracy and efficiency were analyzed respectively. The accuracy of the extracted respiratory synchronization signal reached 99.88%. The high duty cycle ratio of respiratory synchronization signal under different synchronization modes and thresholds is between 16.1515 and 39.70%. The proposed method can reduce the effect of respiration on medical signal collection. The measurement accuracy is high, but the measurement efficiency will be reduced to a certain extent, and the measurement precision and efficiency can be adjusted to achieve the best effect by adjusting the sampling window balance according to the requirement.
【作者单位】：复旦大学信息科学与工程学院电子工程系;上海康复器械工程技术研究中心;
【基金】：上海工程技术研究中心资助项目(15DZ2251700) 上海市科委产学研医合作项目(13DZ1941802)
【分类号】：R318
【正文快照】： 引言在多种现代医学信号的采集中,由于呼吸活动所造成的躯体振动和胸腔阻抗变化,会对被采集信号造成不易消除的干扰。如在临床应用越来越广泛的介入式诊断和治疗中,需要解决的一个关键问题是对进入人体的导管电极等医疗器械进行定位[1],其中电场定位是常用的定位手段之一。而

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