Sleep stage classification method based on complex networks and deep learning and application thereof
A sleep stage, complex network technology, applied in applications, medical science, sensors, etc., can solve the problem that the classification effect cannot be very accurate, and achieve high accuracy
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[0032] The sleep stage classification method and application based on complex network and deep learning of the present invention will be described in detail below in conjunction with the embodiments and drawings.
[0033] The sleep stage classification method based on complex network and deep learning of the present invention is to construct a complex network of visual graphs from EEG signals, extract complex network feature indicators, and combine long and short-term memory networks to realize the classification of sleep states.
[0034] Such as figure 1 Shown, the sleep stage classification method based on complex network and deep learning of the present invention, comprises the following steps:
[0035] 1) Obtain the characteristic indicators of the complex network with limited traversal visualization, including:
[0036] (1) For a sleep stage EEG segment of length T Establish a finite traversal visual graph complex network, where, x t Represents the i-th node of the EE...
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