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Cepstrum feature selection for the classification of Sleep Apnea-Hypopnea Syndrome based on heart rate variability

机译:基于心率变异性的睡眠呼吸暂停综合征分类的综合特征选择

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摘要

Cepstrum Coefficients are analyzed in order to study its performance in Sleep Apnea Hypopnea Syndrome (SAHS) screening. A forward feature selection technique is applied in order to know for one thing, what cepstrum parameters can extract better information about the influence of breath sleep disorder on the heart rhythm, and on the other hand, trying to detect apneas based on the RR series obtained from the electrocardiogram (EKG).
机译:分析综衣系数以研究其在睡眠呼吸暂停症综合征(SAHS)筛选中的性能。应用前向特征选择技术才能知道一件事,克斯特劳参数可以提取有关呼吸睡眠障碍对心脏节律影响的更好信息,另一方面,试图基于获得的RR系列检测呼吸截止呼应从心电图(EKG)。

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