Evaluation of dynamic spectrum extraction method based on salami slicing method

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.