Wilks P A, English M J
School of Engineering, University of Sussex, Falmer, Brighton, UK.
Med Eng Phys. 1994 Jan;16(1):19-23. doi: 10.1016/1350-4533(94)90005-1.
Although the precise causes of Sudden Infant Death Syndrome (SIDS) are still unclear there is evidence to suggest that hypoxaemia may be a contributory factor. Transcutaneous oxygen monitors can be used but are unsatisfactory for young babies in the home. As an alternative approach, respiratory patterns can be studied but attempts at classification of individual breaths are often unsuccessful particularly during periods of extraneous noise or movement artefact. We have developed a robust algorithm which provides accurate segmentation and classification of breaths even in the presence of noise or movement. This improves on previous techniques by deferring the decision on an uncertain candidate breath until more information is available; yet the delay incurred is two breaths at most. The use of look-up tables and decision trees means that computational requirements are kept to a minimum and implementation in a simple home monitor is quite possible.
尽管婴儿猝死综合征（SIDS）的确切病因仍不明确，但有证据表明低氧血症可能是一个促成因素。经皮氧监测仪虽可使用，但对于家中的婴儿并不理想。作为一种替代方法，可以研究呼吸模式，但对个体呼吸进行分类的尝试往往不成功，尤其是在存在外部噪音或运动伪影的时期。我们开发了一种强大的算法，即使在存在噪音或运动的情况下，也能对呼吸进行准确的分割和分类。这一算法改进了先前的技术，通过将对不确定候选呼吸的判定推迟到获得更多信息时进行；但所产生的延迟最多为两次呼吸。查找表和决策树的使用意味着计算需求被保持在最低限度，并且在简单的家用监测仪中实现是完全可行的。
