Designed Filter with CCII+ and Analysis of EEG for Epilepsy and Alzheimer

• Authors: Ş. Kitiş , H. Apaydın , R. Güntürkün
• Languages of publication: EN

Abstracts

EN

Biomedical signals are usually low amplitude and high bandwidth signals. EEG signals are very low amplitude (generally less than 300 μV) and very high bandwidth (range from 0.5 to 100 Hz), too. EEG was used to assist in the diagnosis of brain damage, Alzheimer disease and Parkinson disease, and certain mental disorders. In this study amplifier and filters designed with CCII+ and these simulations are performed with PSPICE program. Normal brain signal, the Alzheimer brain signal, epilepsy brain signal are compared, the shrinking hippocampus compared 25 years old normal brain, 75 years old normal brain and 75 years old with the Alzheimer brain.

Keywords

EN

CCII+; Alzheimer; epilepsy; filter; amplifier

• Journal: Acta Physica Polonica A
• Year: 2017
• Volume: 132
• Issue: 3
• Pages: 423-426

Dates

published

2017-09

Contributors

author

Ş. Kitiş

• Sakarya University, Electric-Electronic Engineering Ph.D. student, Sakarya, Turkey
• Dumlupınar University, Simav Vocational School, Kütahya, Turkey

author

H. Apaydın

• Dumlupınar University, Simav Vocational School, Kütahya, Turkey

author

R. Güntürkün

• Dumlupınar University, Technology Faculty, Kütahya, Turkey

References

• [1] J.D. Bronzino, in: Biomedical Engineering Handbook, Ed. J.D. Bronzino, 2nd ed., CRC Press, 2000, p. 1 http://crcnetbase.com/isbn/9781420049510
• [2] J.G. Webster, Medical Instrumentation Application and Design, III ed., Wiley, 1998 http://researchgate.net/publication/238268478_Medicalınstrumentation_application_and_design
• [3] P. Sovilj, M. Milovanović, D. Pejić, M. Urekar, Z. Mitrović, Meas. Sci. Rev. 14, 270 (2014), doi: 10.2478/msr-2014-0037
• [4] Brain In A Vat, a neuroscience research digest, Method of the Month: EEG, September 2007 http://brainvat.wordpress.com/2007/09/04/method-of-the-month-eeg/
• [5] M. Abeles, M. Goldstein, Proc. IEEE 65, 762 (1977), doi: 10.1109/PROC.1977.10559
• [6] Emedicinehealth, Electroencephalography (EEG) 2016 http://emedicinehealth.com/electroencephalography_eeg/article_em.htm
• [7] The Encyclopedia of Surgery Ce-Fi, Electroencephalography http://surgeryencyclopedia.com/Ce-Fi/Electroencephalography.html
• [8] A. Palmini, A. Gambardella, F. Andermann, F. Dubeau, J.C. da Costa, A. Olivier, D. Tampieri, P. Gloor, F. Quesney, E. Andermann, E. Paglioli, E. Paglioli-Neto, L. Coutinho, R. Leblanc, H.I. Lim, Ann. Neurol. 37, 476 (1995), doi: 10.1002/ana.410370410
• [9] D. Zumsteg, H.G. Wieser, Epilepsia 41, S55 (2000), doi: 10.1111/j.1528-1157.2000.tb01535.x
• [10] K. Takaura, N. Tsuchiya, N. Fujii, NeuroImage 124, 557 (2016), doi: 10.1016/j.neuroimage.2015.09.007
• [11] Jang's Lab, Minimal Invasive Environment-Brain Interface http://jangslab.hanyang.ac.kr/01_research/research0201.htm
• [12] G. Gargiulo, P. Bifulco, R.A. Calvo, M. Cesarelli, C. Jin, A. van Schalk, in: Biomedical Circuits Systems Conf., BioCAS 2008, Baltimore (USA), IEEE, doi: 10.1109/BIOCAS.2008.4696927
• [13] A. Sedra, K.C. Smith, IEEE Trans. Circuit Theory 17, 132 (1970), doi: 10.1109/TCT.1970.1083067
• [14] Helpguide, Recognizing Alzheimer's Disease http://helpguide.org/harvard/recognizing-and-diagnosing-alzheimers.htm
• [15] UCSF Memory and Aging Center, Alzheimer's Disease http://memory.ucsf.edu/education/diseases/alzheimer
• [16] Somatosphere, EEG, January 2014 http://somatosphere.net/2014/01/eeg.html
• [17] Studyblue, Degenerative Diseases http://www.studyblue.com/notes/note/n/degenerative-diseases/deck/15486213
• [18] Otto-von-Guericke-Universität, Universitätsklinik für Neurologie, Epilepsieambulanz http://neuro2.med.uni-magdeburg.de/neurologie/de/ueber_uns/epilepsieambulanz.php
• [19] National Institute on Aging, What Happens to the Brain in Alzheimer's Disease?, August 2017 http://www.nia.nih.gov/alzheimers/publication/part-2-what-happens-brain-ad/changing-brain-ad
• [20] Helpguide, Preventing Alzheimer's Disease http://helpguide.org/articles/alzheimers-dementia/alzheimers-and-dementia-prevention.htm
• [21] M. Challal, M. Boulakroune, Acta. Phys. Pol. A 130, 9 (2016), doi: 10.12693/APhysPolA.130.9
• [22] M.E. Başak, F. Kaçar,Acta. Phys. Pol. A 130, 223 (2016), doi: 10.12693/APhysPolA.130.223
• [23] M. Challal, M. Dehmas, A. Azrar, R. Aksas, M. Trabelsi, Acta. Phys. Pol. A 128, B-71 (2015), doi: 10.12693/APhysPolA.128.B-71
• [24] X. Jiang, P. Ren, C. Luo, Cognit. Comput. 8, 828 (2016), doi: 10.1007/s12559-016-9423-7
• [25] X. Liu, Y. Zeng, T. Zhang, B. Xu, Cognit. Comput. 8, 967 (2016), doi: 10.1007/s12559-016-9411-y
• [26] Y. Yang, I. Bloch, S. Chevallier, J. Wiart, Cognit. Comput. 8, 505 (2016), doi: 10.1007/s12559-015-9379-z
• [27] L. Cao, J. Li, Y. Xu, H. Zhu, C. Jiang, Cognit. Comput. 8, 228 (2016), doi: 10.1007/s12559-015-9351-y
• [28] H. Zhao, J. Ren, Cognit. Comput. 8, 246 (2016), doi: 10.1007/s12559-015-9357-5

Identifiers

DOI

10.12693/APhysPolA.131.423