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METHOD OF DETECTING DRIVING FATIGUE ON BASIS OF BRAIN FUNCTION NETWORK CONSTRUCTED USING PHASE LOCKING VALUE

机译:基于锁相值构造的脑功能网络的驱动疲劳检测方法

摘要

Provided is a method of detecting driving fatigue on the basis of a brain function network constructed using a phase locking value, belonging to the field of driving fatigue detection; electroencephalogram signals are collected during driving in an awake time and a test time, and said signals are de-noised, decomposed, and reconstructed; then the phase locking value (PLV) within the awake time and the test time series for every two channels is calculated, and, according to the PLV, the functional connection matrix of the channels in the awake time and test time series is formed; a connection strength threshold is set and compared with each element value in the functional connection matrix so as to obtain a connection relationship between the channels in the awake time and the test time series and form a brain function network of the test subject during the awake time and the test time series; the differences between brain function network topology in three sub-bands between the awake time and the test time series are compared and analyzed to determine whether the test subject is in a state of driving fatigue during the test time series; the reliability and accuracy of detection are relatively high.
机译:提供一种基于脑功能网络的驾驶疲劳检测方法,所述脑功能网络使用锁相值构建,属于驾驶疲劳检测领域;在醒着的时间和测试的时间内在行驶期间收集脑电图信号,并且对所述信号进行去噪,分解和重建。然后计算每两个通道在唤醒时间和测试时间序列内的锁相值(PLV),并根据PLV,形成通道在唤醒时间和测试时间序列中的功能连接矩阵;设置连接强度阈值,并将其与功能连接矩阵中的每个元素值进行比较,以获取清醒时间与测试时间序列之间的通道之间的连接关系,并在清醒时间内形成测试对象的脑功能网络和测试时间序列;比较清醒时间与测试时间序列之间三个子带中的脑功能网络拓扑结构的差异,确定测试时间序列中测试对象是否处于疲劳驾驶状态;检测的可靠性和准确性较高。

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