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Computational Intelligence and Neuroscience
Volume 2017, Article ID 1512504, 9 pages
https://doi.org/10.1155/2017/1512504
Research Article

Selection of the Optimal Algorithm for Real-Time Estimation of Beta Band Power during DBS Surgeries in Patients with Parkinson’s Disease

1Laboratory of Rehabilitation Engineering, National University of Entre Ríos, Oro Verde, Argentina
2Group for Digital Design and Processing (GDDP), ETSE, Department of Electronic Engineering, University of Valencia, Valencia, Spain
3Functional Neurosurgery Unit, La Fe Hospital, Valencia, Spain

Correspondence should be addressed to Alfredo Rosado Muñoz; se.vu@odasor.oderfla

Received 31 August 2017; Accepted 29 November 2017; Published 24 December 2017

Academic Editor: Plácido R. Pinheiro

Copyright © 2017 Ángeles Tepper et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

How to Cite this Article

Ángeles Tepper, Mauricio Carlos Henrich, Luciano Schiaffino, Alfredo Rosado Muñoz, Antonio Gutiérrez, and Juan Guerrero Martínez, “Selection of the Optimal Algorithm for Real-Time Estimation of Beta Band Power during DBS Surgeries in Patients with Parkinson’s Disease,” Computational Intelligence and Neuroscience, vol. 2017, Article ID 1512504, 9 pages, 2017. https://doi.org/10.1155/2017/1512504.