Volume 1, Issue 1 (12-2019)
sjfst 2019, 1(1): 1-10 |
Back to browse issues page
Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:
Naseri F. Evaluating brain signal of patients with mild Alzheimer in order to early separation of them from normal individuals. sjfst 2019; 1 (1) :1-10
URL: http://sjfst.srpub.org/article-6-23-en.html
URL: http://sjfst.srpub.org/article-6-23-en.html
Department of Electrical and Computer Engineering, Shiraz University, Shiraz, Iran
Abstract: (2440 Views)
The purpose and incentive of this study is designing and providing a system for identifying mild Alzheimer. Alzheimer can be identified by losing neurons synapses in some brain regions, necrotic brain cells in different parts of the nervous system, creating globular form of protein structures called senile plaques outside of neurons in some brain regions and filamentous protein structures called spiral coils in the cell body of neurons. FlexComp is a device used to record brain signals. Two channels of Fz and Pz are used for the reference of electrode ear to record the signals. Brain signals were taken from individual with open eyes for 2 minutes and 2 minutes blindfolded. Best results were extracted in delta rf open oz، beta coherence close with close، wavelet Alpha sig close fz، wavelet theta sig open oz و FD sig open fz modes.
Type of Study: Research |
Subject:
Biomedical Enginireeng
Received: 2019/08/12 | Revised: 2019/09/30 | Accepted: 2019/10/13 | Published: 2019/12/11
Received: 2019/08/12 | Revised: 2019/09/30 | Accepted: 2019/10/13 | Published: 2019/12/11
References
1. Adler, G., Brassen, S., Jajcevic, A., 2003. EEG coherence in Alzheimer's dementia. J. Neural. Transm. 110, 1051-1058. [DOI:10.1007/s00702-003-0024-8] [PMID]
2. Chapman, Robert M., et al. "Brain event-related potentials: diagnosing early-stage Alzheimer's disease." Neurobiology of aging 28.2 (2007): 194-201. [DOI:10.1016/j.neurobiolaging.2005.12.008] [PMID] [PMCID]
3. Güntekin, Bahar, Ertuğrul Saatçi, and Görsev Yener. "Decrease of evoked delta, theta and alpha coherences in Alzheimer patients during a visual oddball paradigm." Brain research 1235 (2008): 109-116. [DOI:10.1016/j.brainres.2008.06.028] [PMID]
4. Hogan, M.J., Swanwick, G.R.J., Kaiser, J., Rowan, M., Lawlor, B., 2003. Memory-related EEG power and coherence reductions in mild Alzheimer's disease. Int. J. Psychophysiol. 49, 147-163. [DOI:10.1016/S0167-8760(03)00118-1]
5. Locatelli, T., Cursi, M., Liberati, D., Franceschi, M., Comi, G., 1998. EEG coherence in Alzheimers disease. Electroencephalogr, Clin. Neurophys. 106, 229-237. [DOI:10.1016/S0013-4694(97)00129-6]
6. Miller, R., 1991. Cortico-Hippocampal Interplay and the Representation of Contexts in the Brain. Springer, Berlin. Miltner, W., Braun, C., Arnold, M., Witte, H., Taub, E., 1999. Coherence of gamma-band EEG activity as a basis for associative learning. Nature 397, 434-436. [DOI:10.1038/17126] [PMID]
7. Mizuki, Y., Masotoshi, T., Isozaki, H., Nishijima, H., Inanaga, K., 1980. Periodic appearance of theta rhythm in the frontal midline area during performance of a mental task Electroencephalogr. Clin. Neurophysiol. 49, 345-351. [DOI:10.1016/0013-4694(80)90229-1]
8. van der Hiele, K., Vein, A.A., Reijntjes, R.H.A.M., Westendorp, R.G. J., Bollen, E.L.E.M., van Buchem, M.A., van Dijk, J.G., Middelkoop, H.A.M., 2007. EEG correlates in the spectrum of cognitive decline. Clin. Neurophysiol. 118, 1931-1939. [DOI:10.1016/j.clinph.2007.05.070] [PMID]
9. Zheng-yan, J., 2005. Abnormal cortical functional connections in Alzheimer's disease: analysis of inter- and intra-hemispheric EEG coherence. J. Zhejiang Univ. SCI. 6B (4), 259-264. [DOI:10.1631/jzus.2005.B0259] [PMID] [PMCID]
Send email to the article author
| Rights and permissions | |
 |
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License. |