@article{441bd83c840a4346ada54b9475ac601e,
title = "EEG Signal Modeling Using Adaptive Markov Process Amplitude",
abstract = "In this paper, an adaptive Markov process amplitude algorithm is used to model and simulate electroencephalogram (EEG) signals. EEG signal modeling is used as a tool to identify pathophysfological EEG changes potentially useful in clinical diagnosis. The least mean square algorithm is adopted to continuously estimate the parameters of a first-order Markov process model. EEG signals recorded from rodent brains during injury and recovery following global cerebral ischemia are utilized as input signals to the model. The EEG was recorded in a controlled experimental brain injury model of hypoxic-ischemic cardiac arrest. The signals from the injured brain during various phases of injury and recovery were modeled. Results show that the adaptive model is accurate in simulating EEG signal variations following brain injury. The dynamics of the model coefficients successfully capture the presence of spiking and bursting in EEG.",
keywords = "Cardiac arrest, EEG, Markov process, Signal modeling",
author = "Hasan Al-Nashash and Yousef Al-Assaf and Joseph Paul and Nitish Thakor",
note = "Funding Information: Manuscript received October 4, 2002; revised May 11, 2003. This work was supported in part by the National Institutes of Health (NIH) under Grant NS24282 and Grant NS42690 and in part by the AUS under Grant 1/2001. Asterisk indicates corresponding author. H. Al-Nashash and Y. Al-Assaf are with the School of Engineering, American University of Sharjah, Sharjah, U.A.E. J. Paul is with the Department of Biomedical Engineering, The Johns Hopkins School of Medicine, Baltimore, MD 21205 USA. *N. Thakor is with the Department of Biomedical Engineering, The Johns Hopkins School of Medicine, Baltimore, MD 21205 USA (e-mail: nthakor@bme.jhu.edu). Digital Object Identifier 10.1109/TBME.2004.826602 Funding Information: Dr. Thakor serves on the editorial boards of several journals, including the IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, IEEE TRANSACTIONS ON INFORMATION TECHNOLOGY IN BIOMEDICINE, and Annals of Biomedical Engineering. He is a recipient of a Research Career Development Award from the National Institutes of Health and a Presidential Young Investigator Award from the National Science Foundation, and is a Fellow of the American Institute of Medical and Biological Engineering. He is also a recipient of the Centennial Medal from the University of Wisconsin School of Engineering and recognition from the students of the Alpha Eta Mu Beta Biomedical Engineering student Honor Society.",
year = "2004",
month = may,
doi = "10.1109/TBME.2004.826602",
language = "English (US)",
volume = "51",
pages = "744--751",
journal = "IEEE Transactions on Biomedical Engineering",
issn = "0018-9294",
publisher = "IEEE Computer Society",
number = "5",
}