Research On A Spontaneously-Discharged Source For The Positioning System

EEG signal, one of the spontaneous or induced biological signals, is an electrical phenomenon exhibited by a brain cell electrophysiological activity during its thinking process in the cerebral cortex and the scalp surface. As the main means of non-invasive brain function research, EEG signals contain abundant physiological and pathological information about human body, with which any organs’ physiological activities are closely related. Through the study of EEG signals, one can understand the relationship between electrical activity of nerve cells and the human physiological states and psychological states, which will help and provide explanation for disease diagnosis, prevention, treatment and even conceptual work. In today’s medical research and other fields of science, such signals attract more and more people’s attention. Based on the nonlinear theory as the basic tools, considering the EEG signals’ source localization and the application of EEG in flight fatigue monitoring and EEG signal processing technology, etc, the paper conducts the following research.First of all, after referring to some related literature and subjects and considering EEG source localization and flight fatigue monitoring application research, the paper presents topic ideas and researching arrangement.Then, using the theory of nonlinear analysis, the paper analyzes EEG source localization algorithm in detail. Applying the principle of chaos optimization, the author designs the Tent-based EEG source localization algorithm. The experimental simulation results show that both computational efficiency and positional accuracy have met the designed requirements.According to the peculiarity that the chaos time series can make Duffing oscillator produce different chaos, the paper designs early warning and monitoring system about flight fatigue using Duffing oscillator to remove artifact EEG signals and conduct real-time dynamic monitoring.Finally, the paper designs EEG signals’ processing system applying the modularized designing idea. The Main design includes: the system’s overall design scheme, the front-end signal conditioning circuit of acquisition system, control circuit module, etc. Through assembly and debugging, the system have met the design requirements.This paper lays the foundation for the applied research of EEG source localization and its application in fatigue testing technology. Due to the limitations of experimental data and electronic components selected, the method of Ten-based EEG source localization algorithm, the application of Duffing oscillator to remove artifact EEG signals and the realtime dynamic monitoring method of EEG chaos’ characteristics mentioned in this paper still need further experiments and optimize their performance.