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首页> 外文期刊>The international journal of engineering education >MATLAB for Teaching Doppler Ultrasound Blood Flow Signal Analysis to Biomedical Engineering Students
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MATLAB for Teaching Doppler Ultrasound Blood Flow Signal Analysis to Biomedical Engineering Students

机译:MATLAB为生物医学工程专业的学生教授多普勒超声血流信号分析

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Biomedical signal processing and analysis is a field of great importance in current medical practice. MA TLAB is the most commonly used software tool for biomedical signal processing, visualization, editing, etc. This paper presents an initiative to teach Doppler ultrasound blood flow signal analysis to biomedical engineering students. The approach was based on illustrative applications that highlight the performance characteristics of the signal processing methods (classical, model-based, eigenvector and time-frequency methods). Following a brief description of the signal processing methods, applications of the methods to the Doppler signals obtained from the internal carotid artery and ophthalmic artery were done by means of a series of MA TLA B functions. The functions involved in signal processing and wavelet toolboxes of MA TLAB can be used to analyse the signal under study. The author suggests that the use of MA TLAB exercises will assist students in gaining a better understanding of the various signal processing methods in blood flow investigations.
机译:生物医学信号处理和分析是当前医学实践中非常重要的领域。 MA TLAB是用于生物医学信号处理,可视化,编辑等的最常用软件工具。本文提出了一项向生物医学工程专业的学生教授多普勒超声血流信号分析的计划。该方法基于说明性应用,这些应用突出了信号处理方法(经典,基于模型,特征向量和时频方法)的性能特征。在简要说明信号处理方法之后,通过一系列MA TLA B功能将这些方法应用于从颈内动脉和眼动脉获得的多普勒信号。 MA TLAB信号处理和小波工具箱中涉及的功能可用于分析所研究的信号。作者建议使用MA TLAB练习将有助于学生更好地了解血流调查中的各种信号处理方法。

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