Boosting based classification of event related potentials for early diagnosis of alzheimer's disease

Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings

Volumn 7 VOLS, Issue , 2005, Pages 2494-2497

  Stepenosky, Nicholas ^a   Topalis, Apostolos ^a   Syed, Hussein ^a   Green, Deborah ^b   Kounios, John ^b   Clark, Christopher ^c   Polikar, Robi ^a  

^a Rowan University   (United States)

^b DREXEL UNIVERSITY COLLEGE OF MEDICINE   (United States)

^c UNIVERSITY OF PENNSYLVANIA   (United States)

Author keywords

Alzheimer's disease; Artificial neural networks; Boosting; ERP; Oddball paradigm; P300; Wavelet analysis

Indexed keywords

BIOELECTRIC POTENTIALS; BRAIN; DISEASES; ELECTROENCEPHALOGRAPHY; HEALTH CARE;

ALZHEIMER'S DISEASE; BOOSTING; ODDBALL PARADIGM; WAVELET ANALYSIS;

CLASSIFICATION (OF INFORMATION);

EID: 33846923411     PISSN: 05891019     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/iembs.2005.1616975     Document Type: Conference Paper

References (15)

1. Alzheimer's Association, "Fact Sheet About Alzheimer's Disease," last accessed 04/01/05. Available at: http://www.alz.org/ Resources/FactSheets/FSADFacts.pdf
2. A. Lim, D. Tsuang, et al." Clinico-neuropathological correlation of Alzheimer's disease in a community-based case series," J. American Geriatrics Soc. vol. 47, no. 5, pp. 564-569, 1999.
3. S. Yamaguchi, H. Tsuchiya, S. Yamagata, G. Toyoda, S.Kobayashi, "Event-related brain potentials in response to novel sounds in dementia," Clinical Neurophysiology, vol.112, no. 2, pp. 195-203, 2002.
4. J. Polich, C. Ladish, F. Bloom, "P300 assessment of early Alzheimer's disease," EEG & Clinical Neurophysiology, vol. 77, no. 3, pp. 179-189, 1990.
5. J. Polich, "P300 in clinical applications," In Electroencephalography, E. Niedermeyer, F. Lopez Da Silva, Ed. Philadelphia: Williams and Wilkins, 1999, pp. 1073-1091.
6. T. Demiralp, A. Ademoglu, "Decomposition of event related brain potentials into multiple functional components using wavelet transform," Clinical Electroencephalography, vol. 32, no. 3, pp. 122-138, 2001.
7. T. Demiralp et al. "Analysis of functional components of P300 by wavelet transform," Proc. of IEEE Eng. in Mod. & Bio. Conf., vol. 20, no.4, pp. 1992-1995, 1998.
8. G. McKhann, et al., "Clinical diagnosis of Alzheimer's disease: report of the NINCDS-ADRDA Work Group to Dept. of HHS Task Force on Alzheimer's Disease," Neurology, vol. 34, pp. 939-944, 1984.
9. M. Unser, editor, Gallery at wavelet.org, last accessed 02/17/2005, Available at: http://www.wavelet.org/phpBB2/gallery.php
10. R. Polikar, "The Wavelet Tutorial," last accessed 04/06/05, Available at: http://users.rowan.edu/~polikar/WAVELETS/WTtutorial.html
11. B. Jansen et al. "An exploratory study of factors affecting single trial P300 detection," IEEE Tran. Bio. Eng., vol. 51, no. 6, pp. 975-978, 2004.
12. G. Jacques, J.L. Frymiare, J. Kounios, C. Clark, R. Polikar, "Multiresolution wavelet analysis for early diagnosis of Alzheimer's Disease", "Proc. of 26th Int. Conf. of IEEE Eng. in Med. and Biology Soc.," pp. 251-254, San Francisco, CA, 2004.
13. R.E. Schapire. The strength of weak learnability. Machine Learning, 5(2):197-227, 1990.
14. Y. Freund and R. Schapire, "A decision theoretic generalization of on-line learning and an application to boosting," Comp. and System Sci., vol.57, no. 1, pp. 119-139, 1997.
15. R. Polikar, L. Udpa, S. Udpa, and V. Honavar, "Learn++: An incremental learning algorithm for supervised neural networks," IEEE Trans. on Sys., Man and Cyber. (C), vol.31, no. 4, pp. 497-508, 2001.