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Title:New perspectives for computer-aided discrimination of Parkinson's disease and essential tremor
Authors:ID Povalej Bržan, Petra (Author)
ID Gallego, J.A. (Author)
ID Romero, J. P. (Author)
ID Glaser, Vojko (Author)
ID Rocon, E. (Author)
ID Benito-León, Julián (Author)
ID Bermejo-Pareja, Félix (Author)
ID Posada, Ignacio (Author)
ID Holobar, Aleš (Author)
Files:.pdf Complexity_2017_Povalej_Brzan_et_al._New_Perspectives_for_Computer-Aided_Discrimination_of_Parkinson’s_Disease_and_Essential_Tremor.pdf (3,31 MB)
MD5: 82094A9A2BCBBFDC0003447FEDF0FDDA
PID: 20.500.12556/dkum/593fb72d-a494-47ff-b2c4-cc96e62bd179
 
URL https://www.hindawi.com/journals/complexity/2017/4327175/
 
Language:English
Work type:Scientific work (r2)
Typology:1.01 - Original Scientific Article
Organization:FERI - Faculty of Electrical Engineering and Computer Science
Abstract:Pathological tremor is a common but highly complex movement disorder, affecting ~5% of population older than 65 years. Different methodologies have been proposed for its quantification. Nevertheless, the discrimination between Parkinson's disease tremor and essential tremor remains a daunting clinical challenge, greatly impacting patient treatment and basic research. Here, we propose and compare several movement-based and electromyography-based tremor quantification metrics. For the latter, we identified individual motor unit discharge patterns from high-density surface electromyograms and characterized the neural drive to a single muscle and how it relates to other affected muscles in 27 Parkinson's disease and 27 essential tremor patients. We also computed several metrics from the literature. The most discriminative metrics were the symmetry of the neural drive to muscles, motor unit synchronization, and the mean log power of the tremor harmonics in movement recordings. Noteworthily, the first two most discriminative metrics were proposed in this study. We then used decision tree modelling to find the most discriminative combinations of individual metrics, which increased the accuracy of tremor type discrimination to 94%. In summary, the proposed neural drive-based metrics were the most accurate at discriminating and characterizing the two most common pathological tremor types.
Keywords:Parkinson's disease, essential tremor, electromyography, wrist movements, motor units, muscular excitation, decision tree
Year of publishing:2017
Publication status in journal:Published
Article version:Publisher's version of article
Number of pages:str. 1-17
Numbering:Letn. 2017, št. 4327175
PID:20.500.12556/DKUM-68863 New window
ISSN:1099-0526
UDC:616.858:004
ISSN on article:1099-0526
COBISS.SI-ID:2368420 New window
DOI:10.1155/2017/4327175 New window
NUK URN:URN:SI:UM:DK:FJ5IFDTS
Publication date in DKUM:03.11.2017
Views:1179
Downloads:369
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Categories:Misc.
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Record is a part of a journal

Title:Complexity
Publisher:Hindawi Publishing Corporation
ISSN:1099-0526
COBISS.SI-ID:18282279 New window

Document is financed by a project

Funder:EC - European Commission
Funding programme:FP7
Project number:287739
Name:A novel concept for support to diagnosis and remote management of tremor
Acronym:NeuroTREMOR

Licences

License:CC BY 4.0, Creative Commons Attribution 4.0 International
Link:http://creativecommons.org/licenses/by/4.0/
Description:This is the standard Creative Commons license that gives others maximum freedom to do what they want with the work as long as they credit the author.
Licensing start date:03.11.2017

Secondary language

Language:Slovenian
Keywords:Parkinsonizem, esencialni tremor, elektromiografija, premiki zapestja, motorične enote, mišično vzbujanje, odločitveno drevo


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