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一种基于模糊逻辑的用于患婴儿猝死综合征风险婴儿的呼吸暂停监测仪。

A fuzzy logic based apnoea monitor for SIDS risk infants.

作者信息

Burke M J, Downes R

机构信息

Department of Electronic and Electrical Engineering, University of Dublin, Trinity College, Dublin 2, Republic of Ireland.

出版信息

J Med Eng Technol. 2006 Nov-Dec;30(6):397-411. doi: 10.1080/03091900600590140.

Abstract

A unit has been designed which monitors newborn infants at risk of Sudden Infant Death Syndrome (SIDS) in a home environment. The unit monitors respiration, electrocardiogram (ECG) and haemoglobin oxygen saturation (SpO2) in combination, in order to detect any potentially life threatening event at an early stage. Provision is made for the generation of both audible and silent alarms and for the storage of signals and other information before, during and after an alarm episode for diagnostic purposes. An intelligent fuzzy logic algorithm is used to process the signals monitored and to implement several propositions concerning their status in order to determine the probability of an apnoea event and initiate the appropriate action. This has substantially reduced the number of false alarms and of undetected dangerous situations compared with previous units, which greatly improves the reliability and usefulness of such a monitor.

摘要

已设计出一种装置,用于在家庭环境中监测有婴儿猝死综合征(SIDS)风险的新生儿。该装置同时监测呼吸、心电图(ECG)和血红蛋白氧饱和度(SpO2),以便在早期阶段检测任何潜在的危及生命的事件。该装置具备发出声音和无声警报的功能,并能在警报发作前、发作期间和发作后存储信号及其他信息,用于诊断目的。使用智能模糊逻辑算法处理监测到的信号,并针对其状态实施若干命题,以确定呼吸暂停事件的概率并采取适当行动。与以前的装置相比,这大大减少了误报和未检测到的危险情况的数量,极大地提高了这种监测器的可靠性和实用性。

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