Ray S R, Lee W D, Morgan C D, Airth-Kindree W
Int J Biomed Comput. 1986 Jul;19(1):43-61. doi: 10.1016/0020-7101(86)90036-x.
This paper describes the application of the expert system concept to sleep stage scoring and is aimed at managing the large variability found in such records. The primary computational burden, sleep parameter calculation, can be relieved by recognizing major classes of recordings or 'somnotypes' having internally consistent sleep parameters for each class but significant differences between classes. The initiation and evolution of somnotypes so as to maintain accuracy while introducing a variety of sleep recordings is treated. The technique is demonstrated on seven all-night recordings resulting in 89.6% accuracy for about 5000 pages of data.
本文描述了专家系统概念在睡眠阶段评分中的应用，旨在处理此类记录中发现的巨大变异性。通过识别主要的记录类别或“睡眠类型”，可以减轻主要的计算负担，即睡眠参数计算。对于每个类别，这些睡眠类型具有内部一致的睡眠参数，但不同类别之间存在显著差异。本文探讨了睡眠类型的起始和演变，以便在引入各种睡眠记录时保持准确性。该技术在七份整夜记录上得到了验证，对于约5000页的数据，准确率达到了89.6%。
