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Bio-signal Processing Analysis

Time:2010-06-12 13:16 Author:sophia Hits:

   Bio-signal processing is the basis of affective modeling, affective computing and affective learning. Our group are engaged in fusing bio-signal characteristic features into ubiquitous affective cognition and pathological analysis of certain disease, such as schizophrenia, aiming at diagnosis and treat of mental disorders, addicts and specialized service. We focus on bio-information acquisition, modeling and recognition which are based on electroencephalogram(EEG, including resting EEG and evoked EEG), electrocardiograph(EOG), Electromyography (EMG), electrooculogram(EOG) and functional magnetic resonance imaging (fMRI). Moreover, we also concern de-noising, feature extraction and pattern recognition, multi-modal feature fusion of these bio-signals.



Three specific applications

1) EEG and schizophrenia

Schizophrenia is recurring disease to harm human’s health in long-term. And the pathogens of schizophrenia have not found out by now.

    EEG is generated by electrical activities of neurons which collected in scalp. Different physiological conditions and a variety of pathogens perform different EEG patterns. In order to find an objective, real-time and scientific method to diagnose schizophrenia, We bring a variety of EEG analysis methods into the study of schizophrenia, by distinguishing different EEG feature patterns and functional structure networks of brain between normal people and schizophrenia. Currently, we have established a friendly partnership with the Third Hospital of Lanzhou City.



2) fMRI and Heroin addicts

Drug dependence is a stubborn and recurrent chronic encephalopathy, particularly, heroin addicts is the highest danger factor. Heroin addicts relapse is one of the most intractable problems, and the research of addiction mechanism is the key to all problems. fMRI has a high spatial resolution, while EEG (EEG) has a high-level resolution in time domain, which both can be very objective measurements of brain functional changes. The purpose of this research is to obtain better spatial and temporal characteristics through the combination of fMRI and EEG, thus we can analyze brain differences and the changes of brain function between drug users and normal controls. Eventually, we try to provide a better measurement to the treatment effects of the drug users. Currently, we have established a relationship with Linxia hospital, Gansu. The hospital has an advanced 3t magnetic resonance equipment for our research experiments.


3) R&D on EEG/EOG acquisition device

     The bottom interfaces of existed EEG, ECG acquisition instrument  are not completely open. It is hard to achieve real-time requirements of communications between acquisition module and computer. In addition, because of the limitations of channel and precision, existed EEG, ECG acquisition device can't fulfill the requirements for scientific research. Our group try to develop a portable EEG acquisition instrument which provides an interface for us to wirelessly connect with other equipments. This research will greatly facilitate EEG and EOG research and applications in the future.