Use of Cross-Correlation Analysis of EEG Signals for Detecting Risk Level for Development of Schizophrenia

2013 ◽  
Vol 47 (3) ◽  
pp. 153-156 ◽  
Author(s):  
O. Yu. Panischev ◽  
S. A. Demin ◽  
A. Ya. Kaplan ◽  
N. Yu. Varaksina
Keyword(s):  
Correlation Analysis ◽  
Cross Correlation ◽  
Risk Level ◽  
Eeg Signals ◽  
Cross Correlation Analysis

Electroencephalagram Analysis in the State of Attention

2013 ◽  
Vol 321-324 ◽  
pp. 716-719
Author(s):  
Jun Chang Zhao ◽  
Zheng Zhong Zheng ◽  
Xiao Lin Huang ◽  
Jun Wang
Keyword(s):  
Correlation Analysis ◽  
Working Conditions ◽  
Brain Function ◽  
Cross Correlation ◽  
Brain State ◽  
Eeg Signals ◽  
Number State ◽  
Cross Correlation Analysis ◽  
The Difference ◽  
First Time

Assessment the distinction of different brain working conditions is very important for brain function study. For the first time, detrended cross-correlation analysis (DCCA) was applied to analyze different brain working conditions. It were compared the difference of DCCA values for EEG signals under count number state and close eyes state. It was found that the DCCA values of count number state EEG signals decreased compared with close eyes state EEG signals which can be helpful for studying different brain state.

The detrended fluctuation and cross-correlation analysis of EEG signals

2018 ◽  
Vol 2 (2) ◽  
pp. 139
Author(s):  
Sunil R. Hirekhan ◽  
Ramchandra R. Manthalkar
Keyword(s):  
Correlation Analysis ◽  
Cross Correlation ◽  
Eeg Signals ◽  
Cross Correlation Analysis ◽  
Detrended Fluctuation

Detrended Cross-Correlation Analysis of Epilepsy Electroencephalagram Signals

2013 ◽  
Vol 765-767 ◽  
pp. 2664-2667 ◽  
Author(s):  
Jun Chang Zhao ◽  
Wan Hu Dou ◽  
Hong Da Ji ◽  
Jun Wang
Keyword(s):  
Correlation Analysis ◽  
Cross Correlation ◽  
Normal Subjects ◽  
Eeg Signals ◽  
Cross Correlation Analysis ◽  
Stationary Signals ◽  
The Status ◽  
The Difference ◽  
First Time ◽  
Electroencephalogram Eeg

The cross-correlation performance between epilepsy electroencephalogram (EEG) signals reflects the status of epilepsy patients which has importance for analyzing long-range correlation of non-stationary signals. For the first time, detrended cross-correlation analysis (DCCA) was applied to analyze different physiological and pathological states of epilepsy EEG signals. It were compared the difference of DCCA values between epilepsy patients EEG signals and normal subjects EEG signals. It was found that the DCCA values of epilepsy patients EEG signals increased compared the normal subjects EEG signals which can be helpful for medical diagnosis and treatment.

Một số ứng dụng của phương pháp phân tích tương quan chéo trong nghiên cứu khí tượng thủy văn - địa chất thủy văn

2003 ◽  
Vol 25 (3) ◽  
pp. 274-279
Author(s):  
Vũ Thanh Tâm
Keyword(s):  
Correlation Analysis ◽  
Cross Correlation ◽  
Cross Correlation Analysis ◽  
Hydrogeological Study

Some applications of cross-correlation analysis in meteohydrological hydrogeological study

Cross-correlation analysis of on-orbit residual accelerations in Spacelab

1991 ◽  
Author(s):  
MELISSA ROGERS ◽  
J. ALEXANDER
Keyword(s):  
Correlation Analysis ◽  
Cross Correlation ◽  
Cross Correlation Analysis

Application of Cross-correlation Analysis Method for Measurement of the Fluid Flow Rate Based on X-ray Radiation

2019 ◽  
Vol 11 (1) ◽  
pp. 01025-1-01025-5 ◽  
Author(s):  
N. A. Borodulya ◽  
◽  
R. O. Rezaev ◽  
S. G. Chistyakov ◽  
E. I. Smirnova ◽  
...  
Keyword(s):  
Fluid Flow ◽  
Correlation Analysis ◽  
Flow Rate ◽  
Cross Correlation ◽  
Fluid Flow Rate ◽  
Analysis Method ◽  
X Ray ◽  
Cross Correlation Analysis ◽  
Correlation Analysis Method

scholarly journals Features of Cross-Correlation Analysis in a Data-Driven Approach for Structural Damage Assessment

Sensors ◽  
2018 ◽  
Vol 18 (5) ◽  
pp. 1571 ◽  
Author(s):  
Jhonatan Camacho Navarro ◽  
Magda Ruiz ◽  
Rodolfo Villamizar ◽  
Luis Mujica ◽  
Jabid Quiroga
Keyword(s):  
Correlation Analysis ◽  
Damage Assessment ◽  
Structural Damage ◽  
Cross Correlation ◽  
Data Driven ◽  
Cross Correlation Analysis ◽  
Data Driven Approach

POWER LAW AND STRETCHED EXPONENTIAL EFFECTS OF EXTREME EVENTS IN CHINESE STOCK MARKETS

2010 ◽  
Vol 09 (02) ◽  
pp. 203-217 ◽  
Author(s):  
XIAOJUN ZHAO ◽  
PENGJIAN SHANG ◽  
YULEI PANG
Keyword(s):  
Correlation Analysis ◽  
Power Law ◽  
Extreme Events ◽  
Stock Markets ◽  
Cross Correlation ◽  
Extreme Values ◽  
Cumulative Distribution ◽  
Stretched Exponential ◽  
Cross Correlation Analysis ◽  
Chinese Stock Markets

This paper reports the statistics of extreme values and positions of extreme events in Chinese stock markets. An extreme event is defined as the event exceeding a certain threshold of normalized logarithmic return. Extreme values follow a piecewise function or a power law distribution determined by the threshold due to a crossover. Extreme positions are studied by return intervals of extreme events, and it is found that return intervals yield a stretched exponential function. According to correlation analysis, extreme values and return intervals are weakly correlated and the correlation decreases with increasing threshold. No long-term cross-correlation exists by using the detrended cross-correlation analysis (DCCA) method. We successfully introduce a modification specific to the correlation and derive the joint cumulative distribution of extreme values and return intervals at 95% confidence level.

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