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The physionet QT database: Study on the reliability of P-wave manual annotations under noisy recordings

机译:PhysioIoneT Qt数据库:嘈杂录音下P波手动注释的可靠性研究

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Thanks to its manual annotations, the PhysioNet QT database (QTDB) has been widely used as the reference of ECG delineators. However, a significant percentage of its annotations have been reported as inaccurate. Thus, any precise ECG delineator will never be able to meet, without error, all its annotations. The present work analyzes these inaccuracies and also how noise altered the final timing of annotations. As this effect is higher for low amplitude waveforms, P-waves were studied through a robust P-wave delineator. Its delineation results were compared with manual annotations under two scenarios. Firstly, a direct comparison without ECG denoising was performed. Secondly, the P-waves were delineated after efficient Wavelet-based denoising. Results showed that automatic annotations were closer to manual annotations for noisy ECGs and farther in the case of denoised ECGs, thus proving that noise altered the timing of manual annotations. An unreal improvement in delineation performance for noisy ECGs was obtained for P-wave onset, peak and offset in 45.83%, 57.29% and 56.25% of the recordings, respectively. Thus, to improve delineators reliability, either the need to review the QTDB annotations or its replacement by a better annotated database are suggested.
机译:由于其手动注释,所述PhysioNet QT数据库(QTDB)已被广泛地用作ECG视线引导的参考。然而,它的注释的显著比例已报道不准确。因此,任何精确的ECG视线引导将永远无法见面,没有错误,它的所有注释。本工作分析这些不准确性以及如何改变噪声注释的最后的定时。由于这种作用对于低振幅的波形更高,P波是通过强大的P波轮廓标研究。划界结果与下两种情况说明书标注进行了比较。首先,进行没有心电图去噪的直接比较。其次,P波基于小波变换的高效降噪后划定。结果表明,自动注释是接近手动注释为嘈杂心电图和更远在去噪心电图的情况下,由此证明噪声改变手动注释的定时。为获得在嘈杂心电图划定性能一种不真实的改善P波开始时,峰​​和在45.83 %,57.29 %和录音的56.25 %,分别抵消。因此,为了提高视线引导可靠性,无论是需要审查一个更好的注释数据库的QTDB注释和它的替换提出了建议。

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