The effectiveness of applied treatment in Parkinson disease based on feature selection of motion activities

Adam Świtoński; Magdalena Stawarz; Magdalena Boczarska-Jedynak; Aleksander Sieroń; Andrzej Polański; Konrad Wojciechowski

The effectiveness of applied treatment in Parkinson disease based on feature selection of motion activities

Adam Świtoński
, Magdalena Stawarz
, Magdalena Boczarska-Jedynak
, Aleksander Sieroń
, Andrzej Polański
, Konrad Wojciechowski

Department of Graphics, Computer Vision and Digital Systems (RAU/RAU6)

Polish-Japanese Academy of Information Technology
Medical University of Silesia in Katowice

Research output: Contribution to journal › Article › peer-review

3 Citations (Scopus)

Abstract

The analysis of effectiveness of deep brain stimulation and pharmacological treatment in Parkinson disease is presented. It is based on an examination of discriminative properties of distinctive motion features. The feature extraction and selection of kinematical motion data is carried out. The attribute ranking with entropy based attribute evaluation and greedy hill climbing search with assessment of an average inner class dissimilarity are applied. The obtained results show that deep brain stimulation has greater impact on investigated motion activities.

Original language	English
Pages (from-to)	103-106
Number of pages	4
Journal	Przeglad Elektrotechniczny
Volume	88
Issue number	12 B
Publication status	Published - 2012

Keywords

Feature extraction
Feature selection
Motion capture
Parkinson diseases
Supervised machine learning

ASJC Scopus subject areas

Electrical and Electronic Engineering

Cite this

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title = "The effectiveness of applied treatment in Parkinson disease based on feature selection of motion activities",

abstract = "The analysis of effectiveness of deep brain stimulation and pharmacological treatment in Parkinson disease is presented. It is based on an examination of discriminative properties of distinctive motion features. The feature extraction and selection of kinematical motion data is carried out. The attribute ranking with entropy based attribute evaluation and greedy hill climbing search with assessment of an average inner class dissimilarity are applied. The obtained results show that deep brain stimulation has greater impact on investigated motion activities.",

keywords = "Feature extraction, Feature selection, Motion capture, Parkinson diseases, Supervised machine learning",

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AU - Świtoński, Adam

AU - Stawarz, Magdalena

AU - Boczarska-Jedynak, Magdalena

AU - Sieroń, Aleksander

AU - Polański, Andrzej

AU - Wojciechowski, Konrad

PY - 2012

Y1 - 2012

N2 - The analysis of effectiveness of deep brain stimulation and pharmacological treatment in Parkinson disease is presented. It is based on an examination of discriminative properties of distinctive motion features. The feature extraction and selection of kinematical motion data is carried out. The attribute ranking with entropy based attribute evaluation and greedy hill climbing search with assessment of an average inner class dissimilarity are applied. The obtained results show that deep brain stimulation has greater impact on investigated motion activities.

AB - The analysis of effectiveness of deep brain stimulation and pharmacological treatment in Parkinson disease is presented. It is based on an examination of discriminative properties of distinctive motion features. The feature extraction and selection of kinematical motion data is carried out. The attribute ranking with entropy based attribute evaluation and greedy hill climbing search with assessment of an average inner class dissimilarity are applied. The obtained results show that deep brain stimulation has greater impact on investigated motion activities.

KW - Feature extraction

KW - Feature selection

KW - Motion capture

KW - Parkinson diseases

KW - Supervised machine learning

UR - https://www.scopus.com/pages/publications/84870709633

M3 - Article

AN - SCOPUS:84870709633

SN - 0033-2097

VL - 88

SP - 103

EP - 106

JO - Przeglad Elektrotechniczny

JF - Przeglad Elektrotechniczny

IS - 12 B

ER -

The effectiveness of applied treatment in Parkinson disease based on feature selection of motion activities

Abstract

Keywords

ASJC Scopus subject areas

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