Document Detail


Characterization of subcortical structures during deep brain stimulation utilizing support vector machines.
MedLine Citation:
PMID:  22256184     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
In this paper we discuss an efficient methodology for the characterization of Microelectrode Recordings (MER) obtained during deep brain stimulation surgery for Parkinson's disease using Support Vector Machines and present the results of a preliminary study. The methodology is based in two algorithms: (1) an algorithm extracts multiple computational features from the microelectrode neurophysiology, and (2) integrates them in the support vector machines algorithm for classification. It has been applied to the problem of the recognition of subcortical structures: thalamus nucleus, zona incerta, subthalamic nucleus and substantia nigra. The SVM (support vector machines) algorithm performed quite well achieving 99.4% correct classification. In conclusion, the use of a computer-based system, like the one described in this paper, is intended to avoid human subjectivity in the localization of the subcortical structures and mainly the subthalamic nucleus (STN) for neurostimulation.
Authors:
P Guillén; F Martínez-de-Pisón; R Sánchez; M Argáez; L Velázquez
Related Documents :
21217024 - Epidemic and economic impacts of delayed detection of foot-and-mouth disease: a case st...
24051734 - Sparse subspace clustering: algorithm, theory, and applications.
25082044 - Nomenclatural changes, new country records and range extensions of baridinae (coleopter...
24129194 - Evaluation of bacterial motility from non-gaussianity of finite-sample trajectories usi...
23794804 - New record of the cockroach genus pseudophoraspis (blaberidae, epilamprinae) from china...
17919444 - Water adsorption on carbons--critical review of the most popular analytical approaches.
Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't; Research Support, U.S. Gov't, Non-P.H.S.    
Journal Detail:
Title:  Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference     Volume:  2011     ISSN:  1557-170X     ISO Abbreviation:  Conf Proc IEEE Eng Med Biol Soc     Publication Date:  2011  
Date Detail:
Created Date:  2012-01-18     Completed Date:  2012-05-31     Revised Date:  2014-08-21    
Medline Journal Info:
Nlm Unique ID:  101243413     Medline TA:  Conf Proc IEEE Eng Med Biol Soc     Country:  United States    
Other Details:
Languages:  eng     Pagination:  7949-52     Citation Subset:  IM    
Export Citation:
APA/MLA Format     Download EndNote     Download BibTex
MeSH Terms
Descriptor/Qualifier:
Cerebral Cortex / pathology*
Deep Brain Stimulation / methods*
Female
Humans
Male
Microelectrodes
Middle Aged
Reproducibility of Results
Support Vector Machines*

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


Previous Document:  Predicting human subcutaneous glucose concentration in real time: a universal data-driven approach.
Next Document:  Parallel artefact rejection for epileptiform activity detection in routine EEG.