Abstract With the rapid development of computer technology, a variety of data processing methods are used to process more and more data. The evaluation of the quality of the data and the processing methods is an urgent problem to be solved. In this paper, the dynamic spectrum for non-invasive blood component detection is used as the research object. A quality evaluation method based on salami slicing method is proposed. This evaluation method is applied to evaluate three dynamic spectrum extraction methods including optimizing differential extraction method, single-trial extraction method and differential extraction method, and their corresponding extracted dynamic spectrum. The evaluation results show that, the extraction accuracy of optimizing differential extraction method is the highest, single-trial extraction method is the second, and differential extraction method is the last. The evaluation results of three dynamic spectrum extraction methods verify the feasibility of the salami slicing evaluation method. This method can also be used to evaluate other data and data processing methods, and has high application value and broad application prospect.

中文翻译：

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基于意大利腊肠切片法的动态频谱提取方法评价

摘要 随着计算机技术的飞速发展，各种数据处理方法被用来处理越来越多的数据。数据质量的评价和处理方法是一个亟待解决的问题。本文以无创血液成分检测的动态光谱为研究对象。提出了一种基于意大利腊肠切片法的质量评价方法。应用该评价方法对优化差分提取法、单试提取法和差分提取法三种动态谱提取方法及其对应的提取动态谱进行评价。评价结果表明，优化差分提取法提取精度最高，单试提取法次之，最后是差分提取法。三种动态频谱提取方法的评价结果​​验证了意大利腊肠切片评价方法的可行性。该方法也可用于评价其他数据和数据处理方法，具有较高的应用价值和广阔的应用前景。