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首页> 外文期刊>Computer Methods and Programs in Biomedicine: An International Journal Devoted to the Development, Implementation and Exchange of Computing Methodology and Software Systems in Biomedical Research and Medical Practice >Artefact detection and quality assessment of ambulatory ECG signals
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Artefact detection and quality assessment of ambulatory ECG signals

机译：动态ECG信号的人工制品检测和质量评估

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摘要

Background and Objectives: The presence of noise sources could reduce the diagnostic capability of the ECG signal and result in inappropriate treatment decisions. To mitigate this problem, automated algorithms to detect artefacts and quantify the quality of the recorded signal are needed. In this study we present an automated method for the detection of artefacts and quantification of the signal quality. The suggested methodology extracts descriptive features from the autocorrelation function and feeds these to a RUSBoost classifier. The posterior probability of the clean class is used to create a continuous signal quality assessment index. Firstly, the robustness of the proposed algorithm is investigated and secondly, the novel signal quality assessment index is evaluated.
机译：背景和目标：噪声源的存在可以降低心电图信号的诊断能力，并导致不当的治疗决策。 为了减轻这个问题，需要自动化算法来检测人工制品并量化记录信号的质量。 在这项研究中，我们介绍了一种用于检测人工制品的自动化方法和信号质量的量化。 建议的方法从自相关函数中提取描述性功能，并将这些功能源给Rusboost分类器。 清洁类的后验概率用于创建连续信号质量评估指标。 首先，研究了所提出的算法的稳健性，其次，评估了新的信号质量评估指标。

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