Open-access software for analysis of fetal heart rate signals
Open-access software for analysis of fetal heart rate signals
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DOI：
10.1016/j.bspc.2018.05.016
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发表时间：
2018-08-01
影响因子：
5.1
通讯作者：
Kocamaz, Adnan Fatih
中科院分区：
文献类型：
--
作者：
Comert, Zafer;Kocamaz, Adnan Fatih
子宫收缩描记术（CTG）包括同时记录的胎儿心率（FHR）和子宫收缩（UC）信号。在临床实践中，目视检查由观察者根据指南主观进行，以评价CTG痕迹。由于这种视觉评估，CTG在观察者之间甚至在观察者内部的解释的可变性相当高。此外，传统的临床实践涉及不同的人为因素，这些因素扭曲了评价的定量质量。自动化CTG分析是解决CTG主要缺点的最有前途的方法，它提供了评价的重现性和定量结果。在这项研究中，开放存取软件（CTG-OAS）与MATLAB开发的介绍，用于胎心率信号的分析。该软件包含自动CTG分析的重要过程，从访问数据库到进行模型评估。除了传统上使用的形态学，线性，非线性和时频特征，开发的软件引入了一种创新的方法，称为基于图像的时频特征来表征胎心率信号。该软件的所有功能都有很好的文档记录，并免费分发用于研究目的。此外，使用CTG-OAS对公共访问的CTU-UHB数据库进行了实验研究，以测试软件的可靠性。实验研究结果包括准确性为77.81%，敏感性为76.83%，特异性为78.27%，几何平均值为77.29%。这些相当有前途的结果表明，该软件可以是一个有价值的工具，用于分析的CTG信号。此外，使用CTG-OAS获得的结果可以很容易地与不同的算法进行比较。此外，可以使用软件提供的工具设计不同的实验装置。因此，该软件可以为新算法的开发做出贡献。(C)2018爱思唯尔有限公司版权所有
Cardiotocography (CTG) comprises fetal heart rate (FHR) and uterine contraction (UC) signals that are simultaneously recorded. In clinical practice, a visual examination is subjectively performed by observers depending on the guidelines to evaluate CTG traces. Owing to this visual assessment, the variability in the interpretation of CTG between inter-and even intra-observers is considerably high. In addition, traditional clinical practice involves different human factors that distort the quantitative quality of the evaluation. Automated CTG analysis is the most promising way to tackle the main shortcomings of CTG by providing reproducibility of the evaluation as well as the quantitative results. In this study, open access software (CTG-OAS) developed with MATLAB is introduced for the analysis of FHR signals. The software contains important processes of the automated CTG analysis, from accessing the database to conducting model evaluations. In addition to traditionally used morphological, linear, nonlinear, and time-frequency features, the developed software introduces an innovative approach called image-based time-frequency features to characterize FHR signals. All functions of the software are well documented, and it is distributed freely for research purposes. In addition, an experimental study on the publicly accessible CTU-UHB database was performed using CTG-OAS to test the reliability of the software. The experimental study obtained results that included an accuracy of 77.81%, sensitivity of 76.83%, specificity of 78.27%, and geometric mean of 77.29%. These fairly promising results indicate that the software can be a valuable tool for the analysis of CTG signals. In addition, the results obtained using CTG-OAS can be easily compared to different algorithms. Moreover, different experimental setups can be designed using the tools provided by the software. Thus, the software can contribute to the development of new algorithms. (C) 2018 Elsevier Ltd. All rights reserved.