Characterisation framework for epileptic signals

IET Image Processing

Volumn 6, Issue 9, 2012, Pages 1227-1235

  Vazquez D M ^a   Rubio, J J ^a   Pacheco, J ^a  

^a INSTITUTO POLITÉCNICO NACIONAL   (Mexico)

Author keywords

[No Author keywords available]

Indexed keywords

CHARACTERISATION FRAMEWORK; COMPARISON RESULT; MODIFIED LEAST SQUARES; NEAREST NEIGHBOUR; SCANNED IMAGES;

IMAGE PROCESSING; SIGNAL PROCESSING;

ALGORITHMS;

EID: 84880395855     PISSN: 17519659     EISSN: None     Source Type: Journal    
DOI: 10.1049/iet-ipr.2012.0037     Document Type: Article

References (30)

1. Fallahpour, M., Megias, D., Ghanbari, M.: 'Reversible and highcapacity data hiding in medical images', IET Image Process., 2011, 5, (2), pp. 190-197
2. Li, W., Ogunbona, P., de Silva, C., Attikiouzel, Y.: 'Semi-supervised maximum a posteriori probability segmentation of brain tissues from dual-echo magnetic resonance scans using incomplete training data', IET Image Process., 2011, 5, (3), pp. 222-232
3. Wu, H.-S., Fiel, M.I., Schiano, T.D., Ramer, M., Burstein, D., Gil, J.: 'Segmentation of textured cell images based on frequency analysis', IET Image Process., 2011, 5, (2), pp. 148-158
4. Karimi, N., Samavi, S., Shirani, S., Behnamfar, P.: 'Segmentation of DNA microarray images using an adaptive graph-based method', IET Image Process., 2010, 4, (1), pp. 19-27
5. Barbuzza, R., Clausse, A.: 'Metropolis Monte Carlo for tomographic reconstruction with prior smoothness information', IET Image Process., 2011, 5, (2), pp. 198-204
6. Kopec, G.: 'Least-squares font metric estimation from images', IEEE Trans. Image Process., 1993, 2, (4), pp. 510-519
7. Cenciarini, M., Loughlin, P., Sparto, P., Redfern, M.: 'Stiffness and damping in postural control increase with age', IEEE Trans. Biomed. Eng., 2010, 57, (2), pp. 267-275
8. Douglas, S.C., Meng, T.H.-Y.: 'Linearized least-squares training of multilayer feedforward neural networks'. IJCNN-91-Seattle Int. Joint Conf., 1991, vol. 1, pp. 307-312
9. Smith, S.J., Bourgoin, M.O., Sims, K., Voorhees, H.L.: 'Handwritten character classification using nearest neighbor in large databases', IEEE Trans. Pattern Anal. Mach. Intell., 1994, 16, (9), pp. 915-919
10. Dening, D.C., Gray, F.G., Haralick, R.M.: 'Prosthesis control using a nearest neighbor electromyographic pattern classifier', IEEE Trans. Biomed. Eng., 1983, BME-30, (6), pp. 356-360
11. Tong, C.S., Wong, M.: 'Adaptive approximate nearest neighbor search for fractal image compression', IEEE Trans. Image Process., 2002, 11, (6), pp. 605-615
12. Martinez, C., Rojas, B.: 'Técnicas de Electroencefalografa' (Comunicaciones Cientficas Mexicanas S.A. de C.V., Secretaria de Educación Pública, 1998, 2nd edn.)
13. Gonzalez, R., Woods, R.: 'Digital image processing' (Addison Wesley, 1992)
14. Zhang, T., Suen, Ch.: 'A fast parallel algorithm for thinning digital patterns', Commun. ACM, 1984, 27, pp. 236-239
15. Sossa, J.H.: 'Rasgos descriptores para el reconocimiento de objetos' (Instituto Politécnico Nacional México, 2006)
16. Bretscher, O.: 'Linear algebra with applications' (Prentice-Hall, Upper Saddle River, NJ, 1995, 3rd edn.)
17. Mathews, J., Fink, K.: 'Métodos numéricos con Matlab' (Prentice-Hall, Madrid, 2000, 3rd edn.)
18. Duda, R., Hart, P., Stork, D.: 'Pattern classification' (JohnWiley & Sons Inc., USA, 2001, 2nd edn.)
19. Pajares, G., De la Cruz, J.: 'Visión por computador: imágenes digitales y aplicaciones' (Alfaomega Grupo Editor S. A. de C. V., México, 2008, 2nd edn.)
20. Rubio, J.J., Angelov, P., Pacheco, J.: 'An uniformly stable backpropagation algorithm to train a feedforward neural network', IEEE Trans. Neural Netw., 2011, 22, (3), pp. 356-366
21. Rubio, J.J., Vázquez, D.M., Pacheco, J.: 'Backpropagation to train an evolving radial basis function neural network', Evolving Syst., 2010, 1, (3), pp. 173-180
22. Rubio, J.J., Salazar, M., Gomez, A.D., Lugo, R.: 'Modeling of the relative humidity via functional networks and control of the temperature via classic controls for a bird incubator', Neural Comput. Appl., 2012, 21, (7), pp. 1491-1500
23. Rubio, J.J., Aquino, V., Figueroa, M.: 'Inverse kinematics of a mobile robot', Neural Comput. Appl., 2012, DOI: 10.1007/s00521-012-0854-0
24. Khalil, W., Kleinfinger, J., Gautier, M.: 'Reducing the computational burden of the dynamic models of robots'. IEEE Int. Conf. Robotics and Automation, 1986, 3, pp. 525-531
25. Rubio, J.J., Ortiz, F., Mariaca, C.R., Tovar, J.C.: 'A method for online pattern recognition for abnormal eye movements', Neural Comput. Appl., 2011, DOI: 10.1007/s00521-011-0705-4
26. Iglesias, J.A., Angelov, P., Ledezma, A., Sanchis, A.: 'Creating evolving user behavior profiles automatically', IEEE Trans. Knowl. Data Eng., 2011, 24, (5), pp. 854-867
27. Leite, D., Ballini, R., Costa, P., Gomide, F.: 'Evolving fuzzy granular modeling from nonstationary fuzzy data streams', Evolving Syst., 2012, 3, (2), pp. 65-79
28. Lughofer, E., Bouchot, J.L., Shaker, A.: 'On-line elimination of local redundancies in evolving fuzzy systems', Evolving Syst., 2011, 2, pp. 165-187
29. Pérez Cruz, J.H., Ruiz Velázquez, E., Rubio, J.J., de Alba Padilla, C.A.: 'Robust adaptive neurocontrol of SISO nonlinear systems preceded by unknown deadzone', Math. Probl. Eng., 2012, 2012, pp. 1-23
30. Pérez-Cruz, J.H., Alanis, A.Y., Rubio, J.J., Pacheco, J.: 'System identification using multilayer differential neural networks: a new result', J. Appl. Math., 2012, 2012, pp. 1-20