Abstract

This application will test the hypothesis that a) stages of brain injury and levels of brain injury can be discovered through quantitative EEG analysis and b) subtle variations in the EEG, detected via novel parametric EEG analysis methods, will help guide therapy that may counteract injury-related effects. The first specific aim of this project is a) to detect changes in EEG related to brain injury through quantitative model of EEG, and b) to develop analytical algorithms based on distance measure to discriminate and quantify three stages of injury. The second specific aim is to evaluate in experimental animal models quantitative EEG signal changes associated with various therapies including a number of glutamate antagonists.

  Funding Agency

Agency
National Institute of Health (NIH)
Institute
National Institute of Neurological Disorders and Stroke (NINDS)
Type
Academic Research Enhancement Awards (AREA) (R15)
Project #
2R15NS034145-02
Application #
2624877
Study Section
Neurology A Study Section (NEUA)
Program Officer
Chiu, Arlene Y
Project Start
1998-05-01
Project End
2002-04-30
Budget Start
1998-05-01
Budget End
2002-04-30
Support Year
2
Fiscal Year
1998
Total Cost
Indirect Cost

  Institution

Name
Northern Illinois University
Department
Engineering (All Types)
Type
Schools of Engineering
DUNS #
City
De Kalb
State
IL
Country
United States
Zip Code
60115

  Publications

Kong, X; Oiu, T (2001) Latency change estimation for evoked potentials: a comparison of algorithms. Med Biol Eng Comput 39:208-24
Kong, X; Feng, R (2001) Watermarking medical signals for telemedicine. IEEE Trans Inf Technol Biomed 5:195-201
Kong, X; Qiu, T (2000) Injury detection for central nervous system via EEG with higher order crossing-based methods. Methods Inf Med 39:171-4
Kong, X; Qiu, T (1999) Adaptive estimation of latency change in evoked potentials by direct least mean p-norm time-delay estimation. IEEE Trans Biomed Eng 46:994-1003
Memon, N; Kong, X; Cinkler, J (1999) Context-based lossless and near-lossless compression of EEG signals. IEEE Trans Inf Technol Biomed 3:231-8
Kong, X; Brambrink, A; Hanley, D F et al. (1999) Quantification of injury-related EEG signal changes using distance measures. IEEE Trans Biomed Eng 46:899-901
Kong, X; Qiu, T (1999) Latency change estimation for evoked potentials via frequency selective adaptive phase spectrum analyzer. IEEE Trans Biomed Eng 46:1004-12
Kong, X; Thakor, N V (1996) Adaptive estimation of latency changes in evoked potentials. IEEE Trans Biomed Eng 43:189-97