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Yiyuan Zhang: Stochastic Models for Circadian Rhythm Time Series Data

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Night workers sacrifice large parts of nocturnal sleep, leading to an interruption to their normal sleep pattern and a mismatch between their sleep-wake cycle and circadian rhythms. Huang et al. (2018) proposed the use of a Markov modeling approach that captures heterogeneous variances over the circadian cycle of human activity. We follow their step to fit the hidden Markov model (HMM) to the accelerometer data of nurses and compare their rest and activity pattern. Now, we are developing a Mixture HMM to obtain a partition which groups nurses into homogeneous classes to better understand their adaptation to the sleep disruptions.

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