It is quite common in bio-medical time series (and elsewhere) that otherwise harmless looking data once in a while are interrupted by a singular event, for example a spike. It is now debatable whether such spikes can be generated by a linear process by nonlinear rescaling.
Published in Chapter:
Processing and Communication Techniques for Applications in Parkinson Disease Treatment
Álvaro Orozco-Gutiérrez (Universidad Tecnológica de Pereira, Colombia), Edilson Delgado-Trejos (Instituto Tecnológico Metropolitano ITM, Colombia), Hans Carmona-Villada (Instituto de Epilepsia y Parkinson del Eje Cafetero – Neurocentro, Colombia), and Germán Castellanos-Domínguez (Universidad Nacional de Colombia, Colombia)
Copyright: © 2010
|Pages: 25
DOI: 10.4018/978-1-61520-670-4.ch009
Abstract
This chapter deals with processing and communication techniques for Parkinson’s disease treatment applications. First, the authors summarize the background of physiological dynamics related to degenerative disorders of the central nervous system and common clinical procedures using microelectrode recordings (MER) for detecting brain areas. This summary is followed by a discussion of different aspects related to the inclusion of a communication platform for specialized assistance by expert neurologists to remote hospitals. Next, the authors present different techniques derived from biomedical signal processing for analyzing non-stationary and complexity components, with the aim of developing an automatic recognition system that will support computer-based clinical decisions in detecting brain areas. In addition, they explain each component of medical teleconsult. Finally, they discuss the whole integrated system, including the advantages, limitations and viability of this clinical procedure based on modern technology resources.