Kab-mun CHA, Nitish.V.Thakor, Hyun-chool SHIN
(Dept. of Electronic Engineering, Soongsil University, Seoul 156-743, Korea)
Abstract-This paper presents a study of measures that enable diagnosis of brain recovery after cardiac arrest by using subband-based Information Quantity (SIQ). By using Discrete Wavelet Transform (DWT) and Shannon Entropy (SE), brain signals after cardiac arrest are converted into quantitative IQ and this is put into subband-based IQ. By using IQ and SIQ, a comparison and analysis on correlation between measures suggested in this paper and Neural Deficit Score (NDS) is developed. This goes further by collecting the features in each subband and analyzing the changes in brain signals from the biological prospective. Experiment data is collected from 26 rats. Based on correlation between suggested measures and NDS, this study will allow early assessment of brain recovery after cardiac arrest. Furthermore, it is expected that proposed measures could be an assistant index of NDS.
Key words-BMI; EEG; IQ; SIQ; brain injury
Manuscript Number: 1674-8042(2011)03-0222-04
doi: 10.3969/j.issn.1674-8042.2011.03.005
References
[1] American Heart Association, Learn and Live, AHA Recommendation.
[2] P.Safar, 1986. Cerebral resuscitation after cardiac arrest: a review. Circulation, 74: 38-53.
[3] S.Tong, A.Bezerianos, A.Malhotra, et al, 2003. Parameterized entropy analysis of EEG following hypoxic-ischemic brain injury. Phys. Lett. A, 314: 354-361.
[4] A. Bezerianos, S. Tong, N. V. Thakor, 2003. Time-dependent entropy estimation of EEG rhythm changes following brain ischemia. Ann. Biomed. Eng., 31: 221-232.
[5] N.V.Thakor, S.Tong, 2004. Advances in quanitative electroencephalogram analysis methods. Annu. Rev. Biomed. Eng., 6: 453-495.
[6] H.C.Shin, S.Tong, S.Yamashita, et al, 2006. Quantitative EEG and effect of hypothermia on brain recovery after cardiac arrest. IEEE Trans. Biomed. Eng., 53(6): 1016-1023.
[7] N.V. Thakor, H.C.Shin, S.Tong, et al. Quantitative EEG assessment: hypothermic neural protection after ischemic brain injury. IEEE. Medicine and Biology. Eng., 25(4): 20-25.
[8] H.C.Shin, X.Jia, R.Nickl, et al, 2008. A subband-based information measure of EEG during brain injury and recovery after cardiac arrest. IEEE Trans. Biomed. Eng., 55(8).
[9] E.Niedermeyer, 1993. The normal EEG of the waking adult, in: E. Niedermeyer, F.H. Lopes da Silva (Eds.), Electroencephalography: Basic Principles, Clinical Applications, and Related Fields. Williams and Wilkins, Baltimore, p.131-1520.
[10] Rechtschaffen A, Kales A, eds, 1968. A manual of standardized terminology, techniques and scoring system for sleep stage of human subjects. Brain Informtion Service/Brain Research Institute, University of California, Los Angeles.
[11] E.Aserinsky, N.Kleitman, 1955. Two types of ocular motility occurring in sleep. Jappl Physiol, 8: 1-10.
[12] R.L.Willams, I.Karacan, C.J.Hursch, 1974. EEG of human sleep: clinical applications. J. Neurol Neurosurg. Psychiatry, 37: 1181-1185.
[full text view]
