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How health related to quality of sleep and breathing: How to associate sleep disorder breathing and extracted respiratory signal

机译:健康与睡眠和呼吸质量如何相关:如何将睡眠障碍呼吸与呼吸信号提取相关联

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Sleeping is an important part of human's life because of its state of unconsciousness and relaxation. According to today's common problems, such as increased risks of social, economic and healthcare, disturbances or interruptions in breathing pattern may occur during sleep or it may be discontinued that knows as Sleep Disorders Breath(SDB). Thus, the researchers used an abnormal breathing pattern and characteristics of sleep to detect disorder and help these patients. In this way without any extra equipment, using ECG-Derived Respiration from Electrocardiogram can be a noninvasive, low-cost measurement of respiration wave. In this research, three major methods reinvestigate and the accurate method with the accuracy of 0.9 selected. EDR can be classified by a linear discriminate classification to normal or abnormal (apnea) epoch. In conclusion part, three methods were compared and by selecting the more accurate one, EDR epoch were classified by more than 79.66% accuracy.
机译:睡眠是人类生活的重要组成部分,因为它处于无意识和放松状态。根据当今的常见问题,例如社交,经济和医疗保健风险的增加,在睡眠期间可能会发生呼吸模式的干扰或中断,或者可能会被称为睡眠障碍呼吸(SDB)中断。因此,研究人员使用异常的呼吸模式和睡眠特征来发现疾病并帮助这些患者。这样,无需任何额外的设备,使用心电图的ECG派生呼吸可以是一种无创,低成本的呼吸波测量方法。在这项研究中,对三种主要方法进行了重新研究,并选择了精度为0.9的准确方法。 EDR可以通过线性区分分类来分类为正常或异常(呼吸暂停)时期。总结部分,比较了三种方法,并通过选择更准确的一种方法,将EDR时代分类为79.66%以上。

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