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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 >Test-retest reliability and feature selection in physiological time series classification
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Test-retest reliability and feature selection in physiological time series classification

机译：生理时间序列分类中的重测信度和特征选择

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摘要

Feature test-retest reliability is proposed as a useful criterion for the selection/exclusion of features in time series classification tasks. Three sets of physiological time series are examined, EEG and ECG recordings together with measurements of neck movement. Comparisons of reliability estimates from test-retest studies with measures of feature importance from classification tasks suggest that low reliability can be used to exclude irrelevant features prior to classifier training. By removing features with low reliability an unnecessary degradation of the classifier accuracy may be avoided.
机译：建议将特征重测可靠性作为时间序列分类任务中特征选择/排除的有用标准。检查了三组生理时间序列，EEG和ECG记录以及颈部运动的测量值。将重测研究的可靠性估计值与分类任务的特征重要性进行比较，结果表明，在分类器训练之前，可以使用低可靠性来排除无关的特征。通过去除具有低可靠性的特征，可以避免分类器精度的不必要的降低。

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