文章基本信息

标题：Optimization of RLS Algorithm for Hybrid Method ICA-RLS
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作者：Rene Jaros ; Radek Martinek ; Radana Kahankova 等
期刊名称：IFAC PapersOnLine
印刷版ISSN：2405-8963
出版年度：2019
卷号：52
期号：27
页码：530-535
DOI：10.1016/j.ifacol.2019.12.718
语种：English
出版社：Elsevier
摘要：This paper deals with a design and implementation of a new approach to the extraction of fetal electrocardiography (fECG) signal by hybrid method combining independent component analysis (ICA) and adaptive algorithm based on recursive optimal adaptation (Recursive Least Square, RLS). The abdominal and direct fetal electrocardiogram database (ADFECGDB) was selected for the validation based on estimation of detection accuracy (ACC) relative to the reference signal recorded by means of fetal scalp electrode. The paper provides the tests of the RLS-based filter order setting in the range of 2 to 100 as well as optimization of the input channel combination to achieve the most accurate detection. In total, 11 electrode combinations were created out of 4 abdominal channels, and tested as the inputs of the ICA-RLS hybrid method. The results show that the method is very promising. The highest score was achieved for recording r0l ACC = 99.228 % with combination of input channels 1, 2, and 3 along with the RLS algorithm filter order 4.
关键词：KeywordsNoninvasive fetal electrocardiographyindependent component analysis (ICA)recursive least square (RLS)hybrid methodsfetal heart rate variability monitoringextraction systems