Noise resistance ability analysis of the visibility graph and the limited penetrable visibility graph

Author(s):  
Ming Zeng ◽  
Wenxin Ma ◽  
Qinghao Meng ◽  
Biao Sun ◽  
Zhanxie Wu ◽  
...  
2021 ◽  
Author(s):  
Dmitry Alexandrovich Zatuchny ◽  
Ruslan Nikolaevich Akinshin ◽  
Nina Ivanovna Romancheva ◽  
Igor Viktorovich Avtin ◽  
Yury Grigorievich Shatrakov

2021 ◽  
Vol 232 (3) ◽  
Author(s):  
Kamila Jessie Sammarro Silva ◽  
Larissa Lopes Lima ◽  
Gustavo Santos Nunes ◽  
Lyda Patricia Sabogal-Paz

2014 ◽  
Vol 574 ◽  
pp. 718-722
Author(s):  
Ning Ji ◽  
Jun Tan ◽  
An Shan Pei ◽  
Jia Fei Dai ◽  
Jun Wang

This paper presents the Multiscale Mutual Mode Entropy algorithm to quantify the coupling degree between two alpha rhythm EEG time series which are simultaneously acquired. The results show that in the process of scale change, the young and middle-aged differ from each other in terms of the coupling degree of alpha rhythm EEG and the difference grow clear gradually. So the Multiscale Mutual Mode Entropy can be used to analyze the coupling information of time series under different physiological status, and it also has good noise resistance. Besides, as an indicator of measuring brain function, in the future it can also come to the aid of clinical evaluation of brain function.


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