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Parkinsonian Tremor Identification with Multiple Local Field Potential Feature Classification

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F12%3A00194267" target="_blank" >RIV/68407700:21230/12:00194267 - isvavai.cz</a>

  • Result on the web

    <a href="http://dx.doi.org/10.1016/j.jneumeth.2012.06.027" target="_blank" >http://dx.doi.org/10.1016/j.jneumeth.2012.06.027</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1016/j.jneumeth.2012.06.027" target="_blank" >10.1016/j.jneumeth.2012.06.027</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Parkinsonian Tremor Identification with Multiple Local Field Potential Feature Classification

  • Original language description

    This paper explores the development of multi-feature classification techniques used to identify tremor-related characteristics in the Parkinsonian patient. Local field potentials were recorded from the subthalamic nucleus and the globus pallidus internusof eight Parkinsonian patients through the implanted electrodes of a Deep brain stimulation (DBS) device prior to device internalization.A range of signal processing techniques were evaluated with respect to their tremor detection capability and used asinputs in a multi-feature neural network classifier to identify the activity of Parkinsonian tremor. The results of this study show that a trained multi-feature neural network is able, under certain conditions, to achieve excellent detection accuracy onpatients unseen during training. Overall the tremor detection accuracy was mixed, although an accuracy of over 86% was achieved in four out of the eight patients.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

  • CEP classification

    JD - Use of computers, robotics and its application

  • OECD FORD branch

Result continuities

  • Project

    <a href="/en/project/GA309%2F09%2F1145" target="_blank" >GA309/09/1145: Mechanisms of deep brain stimulation: Role of the subthalamus in motor, visual and affective processing</a><br>

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2012

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Journal of Neuroscience Methods

  • ISSN

    0165-0270

  • e-ISSN

  • Volume of the periodical

    2

  • Issue of the periodical within the volume

    209

  • Country of publishing house

    NL - THE KINGDOM OF THE NETHERLANDS

  • Number of pages

    11

  • Pages from-to

    320-330

  • UT code for WoS article

    000308897900007

  • EID of the result in the Scopus database