Upper Limb Kinematic Parameter Decoding From EEG Signals And Its Application

Electroencephalogram(EEG)signals is the potential information that brain neurons stimulate when controlling related tissues and organs,so human upper limb motion intention can be dectected by analyzing the EEG signals related to upper limb movement.Upper limb kinematic parameter analysis and application research based on EEG signals,can not only promote the related research of neural mechanism,but alse has potential to help establish direct channel for the individuals with motor disorders to control external devices.Thus,the study has important scientific significance and potential applications.This paper focuses on the analysis of the kinematics parameters of the upper limb based on EEG signals.First,the classification model of upper limb movement state based on EEG signals is established.The linear classifier is used to classify the upper limbs in motion state or static state,and the channel selection is conducted according to the time domain representation of EEG signals.Then the upper limb kinematic parameter decoding model from EEG signals is established,linear regression model and extreme learning machine model are used to decode the speed of the upper in the three-dimensional space,and the influence of frequency band,window width and channel on decoding performance of EEG signals is discussed.Finally,the on-line decoding system of the upper limb kinematic parameters from EEG signals is built.The paper achieved the following research accomplishments:1.A classification model of upper limb movement based on EEG signals was established,and the experimental results showed the feasibility and effectiveness of the model.2.The analytical model of the EEG signals for the continuous movement of the upper limb under complex motion was established,and the validity of the model was verified by experiments.The influence of frequency band,window width and channel on the performance of linear decoding model and nonlinear decoding model was analyzed.3.An online analytical system based on EEG signals for upper limb kinematics parameters(upper limb's velocity in three-dimensional space)had been developed,and online analysis of upper limb kinematics parameters had also been realized.The achievement of these research results not only helps to promote the development of EEG signals analysis system and neuroscience,but also has important significance for developing and improving corresponding brain-computer interfaces.