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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:如何与睡眠质量和呼吸相关的健康:如何将睡眠障碍呼吸和提取呼吸信号相关联

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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:由于其无意识和放松状态,睡眠是人类生活的重要组成部分。 根据今天的常见问题,例如增加社会,经济和医疗保健的风险,睡眠期间可能会发生呼吸模式的骚乱或中断,或者可能会停止知道睡眠障碍呼吸(SDB)。 因此,研究人员使用了异常的呼吸模式和睡眠特征来检测紊乱并帮助这些患者。 通过这种方式没有任何额外的设备,使用来自心电图的ECG衍生的呼吸可以是呼吸波的非侵入性,低成本的测量。 在这项研究中,三种主要方法可以加注和精确的方法,精度为0.9选择。 EDR可以通过线性区分分类对正常或异常(呼吸暂停)时期进行分类。 结论部分,比较了三种方法,并通过选择更准确的方法,EDR时期被归类为79.66%的精度。

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