Multi-scale Lempel-Ziv complexity analysis of brain states

Chen, Xiaobi; Xu, Guanghua; Li, Min

doi:10.1109/urai.2016.7734023

Cited by 2 publications

(1 citation statement)

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“…Signal complexity is expressed primarily by correlation and random degree of time series for a signal, which reflects the overall feature of a signal. The complexity of a signal can be described by many methods, such as permutation entropy (PE) [24,25], multiscale permutation entropy (MPE) [26,27], Lempel-Ziv complexity [28], and multiscale Lempel-Ziv complexity [29]. MPE is more robust due to the only use of the order of time series values; meanwhile MPE can obtain multiscale signal information.…”

Section: Signal Complexity Analysis With Multiscale Permutationmentioning

confidence: 99%

Discrimination of Rock Fracture and Blast Events Based on Signal Complexity and Machine Learning

Zhou

Cheng

Cai

et al. 2018

Shock and Vibration

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The automatic discrimination of rock fracture and blast events is complex and challenging due to the similar waveform characteristics. To solve this problem, a new method based on the signal complexity analysis and machine learning has been proposed in this paper. First, the permutation entropy values of signals at different scale factors are calculated to reflect complexity of signals and constructed into a feature vector set. Secondly, based on the feature vector set, back-propagation neural network (BPNN) as a means of machine learning is applied to establish a discriminator for rock fracture and blast events. Then to evaluate the classification performances of the new method, the classifying accuracies of support vector machine (SVM), naive Bayes classifier, and the new method are compared, and the receiver operating characteristic (ROC) curves are also analyzed. The results show the new method obtains the best classification performances. In addition, the influence of different scale factor q and number of training samples n on discrimination results is discussed. It is found that the classifying accuracy of the new method reaches the highest value when q = 8–15 or 8–20 and n=140.

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