Skip to Main content Skip to Navigation
Conference papers

Data Mining Tools Used in Deep Brain Stimulation – Analysis Results

Abstract : Parkinson’s disease is associated with motor symptoms, including tremor. The DBS (Deep Brain Stimulation) involves electrode implantation into sub-cortical structures for long-term stimulation at frequencies greater than 100Hz. We performed linear and nonlinear analysis of the tremor signals to determine a set of parameters and rules for recognizing the behavior of the investigated patient and to characterize the typical responses for several forms of DBS. We found patterns for homogeneous group for data reduction. We used Data Mining and Knowledge discovery techniques to reduce the number of data. To support such predictions, we develop a model of the tremor, to perform tests determining the DBS reducing the tremor or inducing tolerance and lesion if the stimulation is chronic.
Document type :
Conference papers
Complete list of metadata

Cited literature [10 references]  Display  Hide  Download
Contributor : Hal Ifip Connect in order to contact the contributor
Submitted on : Wednesday, August 2, 2017 - 4:21:58 PM
Last modification on : Thursday, March 5, 2020 - 5:41:34 PM


Files produced by the author(s)


Distributed under a Creative Commons Attribution 4.0 International License



Oana Geman. Data Mining Tools Used in Deep Brain Stimulation – Analysis Results. 12th Engineering Applications of Neural Networks (EANN 2011) and 7th Artificial Intelligence Applications and Innovations (AIAI), Sep 2011, Corfu, Greece. pp.259-264, ⟨10.1007/978-3-642-23960-1_31⟩. ⟨hal-01571449⟩



Record views


Files downloads