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http://dx.doi.org/10.13067/JKIECS.201.9.5.595

Comparison of EEG Characteristics between Dementia Patient and Normal Person Using Frequency Analysis Method  

Jang, Yun-Seok (부경대학교 전기공학과)
Park, Kyu-Chil (부경대학교 정보통신공학과)
Han, Dong-Wook (신라대학교 물리치료학과)
Publication Information
The Journal of the Korea institute of electronic communication sciences / v.9, no.5, 2014 , pp. 595-600 More about this Journal
Abstract
Nowadays our society is rapidly transforming into an aging society. A better understanding of dementia is a high priority in the aging society. Therefore our study is basically aimed at understanding characteristics of EEG signals from dementia patients. Firstly, we analyzed spontaneous EEG signals from normal persons and dementia patients to distinguish their characteristics. The EEG signals are recorded with 16 electrodes and we classified the EEG signals form the signals according to frequency band. To obtain the clean EEG signals, we used cross correlation function between two channels. From the analysis results, we can observe that the EEG characteristics from dementia patients are distinctly different from that from normal persons.
Keywords
EEG Signal; Dementia Patient; Normal Person; Cross Correlation Function; Alpha Wave;
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Times Cited By KSCI : 4  (Citation Analysis)
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1 Y.-H. Son, J.-O. Park, and H.-S. Hwang, "Research on the effects of the dementia prevention program on the retired seniors in the industrial age," J. of the Korea Institute of Electronic Communication Sciences, vol. 8, no. 10, 2013, pp. 1601-1608.   과학기술학회마을   DOI   ScienceOn
2 Y.-S. Jang, S.-L. Lee, and S.-A. Ryu, "Characteristics of frequency band on EEG signal causing human drowsiness," J. of the Korea Institute of Electronic Communication Sciences, vol. 8, no. 6, 2013, pp. 949-954.
3 J.-M. Jo, "A study on the sensor node based wireless network communication system for efficient EEG transmission," J. of the Korea Institute of Electronic Communication Sciences, vol. 8, no. 5, 2013, pp. 791-796.   과학기술학회마을   DOI
4 D.-W. Han, B.-D. Seo, and Y.-M. Son, "Usefulness of quantified-EEG in dementia," J. of the Korean Academy of Physical Therapy Science, vol. 15, no. 3, 2008, pp. 7-19.   과학기술학회마을
5 U. S. Gasser, V. Rousson, F. Hentschel, H. Sattel, and T. Gasser, "Alzeheimer disease versus mixed dementias : An EEG perspective," Clinical Neurophysiology, vol. 119, pp. 2255-2259, 2008.   DOI
6 L. Pugnetti, F. Baglio, E. Farina, M. Alberoni, E. Calabrese, A. Gambini, E. D. Bella, M. Garegnani, L. Deleonardis, and R. Nemni, "EEG evidence of posterior cortical disconnection in PD and related dementias," Int. J. of Neuroscience, vol. 120, 2010, pp. 88-98.   DOI
7 R. P. Brenner, C. F. Reynolds, and R. F. Ulrich, "Diagnostic efficacy of computerized spectral versus visual EEG analysis in elderly normal, demented and depressed subjects," Electroencephalography and Clinical Neurophysiology, vol. 69, 1988, pp. 110-117.   DOI   ScienceOn
8 H. Soiminen, J. Partanen, V. Laulumaa, E. L. Helkala, M. Laakso, and P. J. Riekkinen, "Longitudinal EEG spectral analysis in elderly stage of Alzheimer's disease," Electroencephalography and Clinical Neurophysiology, vol. 72, 1989, pp. 290-297.   DOI   ScienceOn
9 B. Szelies, M. Grond, K. Herholz, J. Kessler, T. Wullen, and W. D. Heiss, "Quantitative EEG mapping and PET in Alzheimer's disease," J. of the Neurological Sciences, vol. 110, no. 1-2, 1992, pp. 46-56.   DOI
10 J. P. H. Wade, T. R. Mirsen, V. E. Hachinski, M. Fisman, C. Lau, and H. Merskey, "The clinical diagnosis of Alzheimer's disease," Archives of Neurology, vol. 44, no. 1, 1987, pp. 24-29.   DOI   ScienceOn
11 J.-H. Kim and M.-H. Oh, "IT based EMG biofeedback training on the effects of upper extremity function in chronic stroke patients," J. of the Korea Institute of Electronic Communication Sciences, vol. 9, no. 1, 2013, pp. 41-49.   과학기술학회마을   DOI