Kemp B, Kamphuisen H A
Sleep. 1986;9(3):405-14. doi: 10.1093/sleep/9.3.405.
A Markov chain model has been proposed as a mechanism that generates human sleep stages. A method for estimating the parameters of the model, i.e., the transition probabilities (rates) between sleep stages, has been introduced and applied to 95 hypnograms taken from 23 subjects. The rates characterize interindividual differences and nightly variations of the sleep mechanism, related to sleep-onset behavior, to the decreasing amount of slow wave sleep in the course of the night, and to the REM-NREM periodicity. The model simulates both probabilistic and the above-mentioned predictable dynamics of sleep, but only if these time-varying, individual rates are applied.
一种马尔可夫链模型已被提出作为产生人类睡眠阶段的一种机制。一种估计该模型参数的方法，即睡眠阶段之间的转移概率（速率），已被引入并应用于从23名受试者获取的95份睡眠图。这些速率表征了睡眠机制的个体间差异和夜间变化，与入睡行为、夜间慢波睡眠量的减少以及快速眼动睡眠与非快速眼动睡眠的周期性有关。该模型模拟了睡眠的概率性和上述可预测动态，但前提是应用这些随时间变化的个体速率。
