Data mining in the process of localization and classification of subcorticals structures [Minería de datos en el proceso de localización y clasificación de estructuras subcorticales]

  1. Guillén, P. 3
  2. Argáez, M. 3
  3. Barrera, J. 1
  4. Velázquez, L. 3
  5. Martínez-De-Pisón, F. 2
  1. 1 Universidad de Los Andes (Venezuela)
    info

    Universidad de Los Andes (Venezuela)

    Merida, Venezuela

    ROR https://ror.org/02h1b1x27

  2. 2 Universidad de La Rioja
    info

    Universidad de La Rioja

    Logroño, España

    ROR https://ror.org/0553yr311

  3. 3 University of Texas at El Paso
    info

    University of Texas at El Paso

    El Paso, Estados Unidos

    ROR https://ror.org/04d5vba33

Mostrar afiliaciones +
Libro:
6th Euro American Conference on Telematics and Information Systems, EATIS 2012;Valencia;23 May 2012through25 May 2012

ISBN: 978-145031012-3

Año de publicación: 2012

Tipo: Capítulo de Libro

beta Ver similares en nube de resultados
SCOPUS: 2-s2.0-84863663966 GOOGLE SCHOLAR

Resumen

This study presents a set of statistical indexes which allow quantifying the quantity of information contained in physiological signals and its classification for better diagnosis. The physiological signals to considering are constituted by records of microelectrode (MER) obtained during deep brain stimulation (DBS) in parkinsonians patients. The MER corresponds to the subcorticals structures: Thalamus nucleus, Zone Incerta, Subthalamic nucleus and Substantia Nigra. The results show that by means of the statistical indexes obtained it is achieved to locate the different subcorticals structures and using as classifier the algorithm C4.5 of decision trees, is obtained a classification of 98.8 % between the structures. In conclusion, in view of the high precision obtained in the classification, the application of this type of statistical indexes could be used in the process of localization and classification of subcorticals structures, and mainly the subthalamic nucleus for neurostimulation. © 2012 ACM.