The invention relates to a
sleep staging automatic interpretation method based on a step-by-step clustering model. According to the method, the step-by-step clustering model is designed and constructed by utilizing the correlation between different electroencephalogram
signal characteristics and each sleep stage. Meanwhile, in the clustering process, key steps of the
algorithm are optimized and adjusted, an initial clustering center is selected in combination with a density and distance considering method, and a
Gaussian kernel function is adopted to calculate a
weight factor to adjust and update the clustering center. Besides, after clustering, a
distance correction coefficient is designed to improve the rationality of a clustering result in combination with an actual conversion rule of the
sleep state. According to the
sleep staging automatic interpretation method based on the step-by-step clustering model, the objective clustering effect of individualized complex feature distribution in
sleep staging can be reflected, the classification performance of the clustering
algorithm on the sleep staging problem is improved, the clustering
algorithm is closer to the experience mode of
manual interpretation, and an effective and feasible auxiliary interpretation tool can be provided for clinical application.