A Method to Minimise the Impact of ECG Marker Inaccuracies on the Spatial QRS-T angle: Evaluation on 1,512 Manually Annotated ECGs.

A Method to Minimise the Impact of ECG Marker Inaccuracies on the Spatial QRS-T angle: Evaluation on 1,512 Manually Annotated ECGs.
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DOI:
10.1016/j.bspc.2020.102305
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发表时间:
2021-03
影响因子:
5.1
通讯作者:
Orini M
Orini M
中科院分区:
工程技术2区
文献类型:
--
作者:
Young WJ;van Duijvenboden S;Ramírez J;Jones A;Tinker A;Munroe PB;Lambiase PD;Orini M

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QRS 和 T 波标记的不准确性严重影响了 QRS-Ta 的估计。 这些误差会影响临床相关异常值的分类。 我们的算法能在 VCG 标记不准确的情况下提供稳健的测量结果。 我们首次展示了 QRS-Ta 在大样本人群中的分布情况。 从矢量心电图(VCG)中得出的空间 QRS-T 角(QRS-Ta)是室性心律失常和心脏性猝死的有力风险预测指标,可用于大规模筛查。在存在心电图划分误差的情况下,准确估计 QRS-Ta 对于将其用作预后测试至关重要。我们的研究评估了 QRS 和 T 波标记位置不准确对 QRS-Ta 估计的影响,并提出了一种稳健的 QRS-Ta 计算方法。 参考 QRS-Ta 测量值来自 1512 张由三位专家评审员手动标注的 VCG。我们系统地改变了 QRS 和 T 波标记的起始和偏移时间,以模拟不准确的位置。我们使用标准方法和我们提出的算法重新计算 QRS-Ta,该算法将向量原点定义为 QRS 起始前的间隔,并重新定义 QRS 和 T 波环路的起点和终点,从而限制了 VCG 标记不准确的影响。 使用标准方法时,QRS-Ta 峰值的平均绝对误差(MAE)大于 40%,当 QRS 起始延迟或 QRS 偏移预期大于 15 毫秒时,检测异常(大于 105°)的灵敏度和精确度分别小于 80% 和小于 65%。使用我们提出的算法,QRS-Ta 峰值的 MAE 降低到了 <4%,在误差不超过 ±15 毫秒的情况下,异常的灵敏度和精确度均大于 94%。平均 QRS-Ta 也获得了类似的结果。 总之,QRS 和 T 波标记的不准确会严重影响 QRS-Ta。我们提出的算法能在 VCG 注释不准确的情况下提供稳健的 QRS-Ta 测量结果,因此可用于大型数据集。
Inaccuracies of QRS and T-wave markers significantly impact QRS-Ta estimation. These errors influence the classification of clinically relevant abnormal values. Our algorithm provides robust measurements in the presence of inaccurate VCG markers. We present for the first time, the distribution of the QRS-Ta in a large cohort. The spatial QRS-T angle (QRS-Ta) derived from the vectorcardiogram (VCG) is a strong risk predictor for ventricular arrhythmia and sudden cardiac death with potential use for mass screening. Accurate QRS-Ta estimation in the presence of ECG delineation errors is crucial for its deployment as a prognostic test. Our study assessed the effect of inaccurate QRS and T-wave marker placement on QRS-Ta estimation and proposes a robust method for its calculation. Reference QRS-Ta measurements were derived from 1,512 VCGs manually annotated by three expert reviewers. We systematically changed onset and offset timings of QRS and T-wave markers to simulate inaccurate placement. The QRS-Ta was recalculated using a standard approach and our proposed algorithm, which limits the impact of VCG marker inaccuracies by defining the vector origin as an interval preceding QRS-onset and redefines the beginning and end of QRS and T-wave loops. Using the standard approach, mean absolute errors (MAE) in peak QRS-Ta were >40% and sensitivity and precision in the detection of abnormality (>105°) were <80% and <65% respectively, when QRS-onset was delayed or QRS-offset anticipated >15 ms. Using our proposed algorithm, MAE for peak QRS-Ta were reduced to <4% and sensitivity and precision of abnormality were >94% for inaccuracies up to ±15 ms. Similar results were obtained for mean QRS-Ta. In conclusion, inaccuracies of QRS and T-wave markers can significantly influence the QRS-Ta. Our proposed algorithm provides robust QRS-Ta measurements in the presence of inaccurate VCG annotation, enabling its use in large datasets.
DOI: 10.1111/anec.12206
发表时间: 2014-11
期刊: Annals of noninvasive electrocardiology : the official journal of the International Society for Holter and Noninvasive Electrocardiology, Inc
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发表时间: 2017-09-05
期刊: PLOS ONE
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作者:
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