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Li Y.,Tsinghua University | Li Y.,Air Force Institute of Aeromedicine | Zhang T.,Tsinghua University | Zhang T.,Key Laboratory of Advanced Control and Optimization for Chemical Processes | And 3 more authors.
2013 ICME International Conference on Complex Medical Engineering, CME 2013 | Year: 2013

Filtering and feature extraction are very important in the analysis and study of EEG signal under +Gz acceleration. In this study, a new filter of different frequency characteristics of EEG signal under +Gz acceleration is constructed and four kinds of rhythms of EEG signal are extracted by using wavelet packet transformation. EEG under different G loads is analyzed and compared, and then EEG dynamic characteristics are studied in order to analyze its advantages and disadvantages. Experimental results show that wavelet packet method can effectively suppress interference bands in EEG, such as EMG, power and so on, and effectively reflect the dynamic characteristics of different rhythms, exhibiting good characteristics. The proposed method is also applicable for analyzing and studying other dynamic biomedical signals. © 2013 IEEE. Source


Li Y.,Tsinghua University | Li Y.,Air Force Institute of Aeromedicine | Zhang T.,Tsinghua University | Wang B.,East China University of Science and Technology | And 2 more authors.
Lecture Notes in Electrical Engineering | Year: 2013

In this research, Electroencephalogram (EEG) data under the condition of +Gz accelerations were recorded and its correlation analysis was done. The correlation change feathers were found for different loads through respective correlation analysis including auto-correlation and cross-correlation analysis for 16 derivation EEG data. The results show that, auto-correlation and cross-correlation are gradually decreased with time lag increasing. Correlation diagrams show that the first peak after zero lags appeared as main peak which responses to relatively stronger correlation. The relationship between correlation and different action of +Gz loads from analysis of a lot of EEG data indicates that EEG correlation is greatly affected by G loads. © 2013 Springer-Verlag. Source


Li Y.,Tsinghua University | Li Y.,Air Force Institute of Aeromedicine | Zhang T.,Tsinghua University | Deng L.,Air Force Institute of Aeromedicine | And 2 more authors.
Journal of Multimedia | Year: 2013

In this research, by simultaneously recording the Electroencephalogram(EEG), Electrocardiogram(ECG) and brain blood pressure signals under the condition of +Gz accelerations, the correlation of EEG and heart rate, brain blood pressure was respectively studied in order to provide experimental basis for correctly understanding the relationships between global and local areas as well as among different local areas of human brain, and also to lay foundation for the EEG spectral analysis, interaction and mechanism research of EEG and related physiological signals. The results of EEG auto-correlation and symmetrical electrode cross-correlation analysis of 16 derivation for different loads were obtained, and the correlation coefficients of EEG and brain blood pressure, heart rate were calculated by designing analytical procedure of processing and analyzing the EEG data through programming. Correlation diagrams indicate that the first peak after zero lags appeared is the main peak responding to relatively stronger correlation and correlation numerical value of the first main peak is the largest and the correlation is greatly impacted by different G loads; EEG and heart rate, brain blood pressure, each frequency band of EEG and heart rate, brain blood pressure has different correlation degree separately. In this study EEG experiments are first carries out on high performance three axial human centrifuge by using a new specific acquisition and test method of EEG and related physiological signals and correlation research of EEG and heart rate, brain blood pressure under +Gz accelerations is first proposed. The conclusion can be drawn that EEG correlation under +Gz accelerations is gradually decreased with time lag increasing, greatly affected by G loads and correlation degree of EEG and brain blood pressure is greater than that of EEG and heart rate. © 2013 ACADEMY PUBLISHER. Source


Li Y.,Tsinghua University | Li Y.,Air Force Institute of Aeromedicine | Zhang T.,Tsinghua University | Zhang T.,State Key Laboratory of Digital Manufacturing Equipment and Technology of China | And 2 more authors.
Irish Journal of Medical Science | Year: 2014

Background: With the continuous improvement of maneuvering performance of modern high-performance aircraft, the protection problem of flight personnel under high G acceleration, the development as well as research on monitoring system and the equipment for human physiological signals processing which include electroencephalogram (EEG) have become more and more important. Due to the particularity of +Gz experimental conditions, the highrisk of human experiments and the great difficulty of dynamic measurement, there is little research on the synchronous acquisition technology of EEG and related physiological signals under +Gz acceleration environment. Methods: We propose a framework to execute human experiments using the three-axial high-performance human centrifuge, develop reasonable operation mode and design a newexperimental researchmethod for EEG signal acquisition and variation characteristics on three-axial high-performance human centrifuge under the environment of +Gz acceleration. We also propose to build the synchronous real-time acquisition plan of EEG, electrocardiogram, brain blood pressure, ear pulse and related physiological signals under centrifuge +Gz acceleration with different equipments and methods. Results: The good profiles of EEG, heart rate, brain blood pressure and ear pulse are obtained and analyzed comparatively. In addition, the FMS hop-by-hop continuous blood pressure and hemodynamic measurement system Portapres are successfully applied to the ambulatory blood pressure measure under centrifuge +Gz acceleration environment. Conclusions: The proposed methods establish the basis and have an important guiding significance for follow-up experiment development, EEG features spectral analysis and correlation research of all signals. © Royal Academy of Medicine in Ireland 2013. Source


Li Y.-F.,Air Force Institute of Aeromedicine | Yang J.-J.,Tsinghua University | Zhang L.-H.,Air Force Institute of Aeromedicine | Zhang T.,Key Laboratory of Advanced Control and Optimization for Chemical Processes | And 3 more authors.
Computers in Industry | Year: 2015

High G protection is an important theoretical and practical issue which needs to be solved urgently in the aviation medicine field. Due to the particularity of equipment used in the centrifuge experiment, and the high risk of experiment for human body, EEG research under +Gz acceleration is rare. The research on preventing and early warning human syncope induced by +Gz by means of EEG signal is therefore much less. In this study, the EEG change feature under +Gz Acceleration is studied with the human experiment by use of a new type human centrifuge. The valuable feature parameters changes are extracted by using the analysis method based on periodogram parameters, after data filtering and other pretreatment. The results show that, the features of some typical EEG levels are significant for aviation medicine. Particularly, the comprehensive parameter R change of alpha and beta frequency bands early shown is applicable and significant for early warning syncope induced by +Gz acceleration. © 2015 Elsevier B.V. All rights reserved. Source

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