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婴儿睡眠期间中枢性呼吸暂停发作的预测。

Prediction of central apnea episodes in infants during sleep.

作者信息

Nishimura T

机构信息

Department of Electrical Engineering, Oita University, Japan.

出版信息

Front Med Biol Eng. 1990;2(2):119-28.

PMID:2271410
Abstract

This study describes a prediction method for central apnea episodes of newborns during sleep. The cross-correlation between heart rate and respiration obtained from newborns is calculated. Employing the cross-correlation, the displacement between heart rate and respiration before central sleep apnea episodes was much larger than the displacement in the stationary state. As the result, it is possible to predict central sleep apnea episodes several minutes before their occurrence.

摘要

本研究描述了一种预测新生儿睡眠期间中枢性呼吸暂停发作的方法。计算了新生儿心率与呼吸之间的互相关。利用互相关,中枢性睡眠呼吸暂停发作前心率与呼吸之间的位移比静止状态下的位移大得多。因此,有可能在中枢性睡眠呼吸暂停发作前几分钟进行预测。

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