symmetric Multifractal Detrended Cross-Correlation Analysis of EEG and sEMG in The Processes of Myodynamia Changes
- Resource Type
- Conference
- Authors
- Zhang, Kai; Xu, Guanghua; Chen, Xiaobi; Zhang, Sicong; Zheng, Xiaowei; Han, Chengcheng
- Source
- 2019 IEEE International Conference on Systems, Man and Cybernetics (SMC) Systems, Man and Cybernetics (SMC), 2019 IEEE International Conference on. :223-227 Oct, 2019
- Subject
- Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
General Topics for Engineers
Power, Energy and Industry Applications
Robotics and Control Systems
Signal Processing and Analysis
Transportation
Electroencephalography
Market research
Force
Fractals
Muscles
Fluctuations
Correlation
- Language
- ISSN
- 2577-1655
The cross-correlation between the electroencephalogram (EEG) and surface electromyography (sEMG) has important research value both in human-robot integration and intelligent rehabilitation robots. The purpose of this study is to explore the relationship between EEG and sEMG when EEG has different trends. The asymmetric cross-correlation of EEG and sEMG in different states were analyzed by using the multifractal asymmetric detrended cross correlation analysis (MF-ADDCA) method. The synchronous EEG and sEMG in the process of tracking feedback force were analyzed. In order to investigate the dynamic process of asymmetric degree, the rolling window MF-ADDCA method was adopted. The analysis results showed that the asymmetries existed in the cross-correlation between EEG and sEMG and the asymmetric cross-correlation were multifractal. In a resting state, the cross-correlation between EEG and sEMG was symmetric. The asymmetries cross-correlation between EEG and sEMG were stronger in large fluctuations under myodynamia enhancement state, and were stronger in small fluctuations under myodynamia stability state.