COMPARISON OF MANUAL AND AUTOMATIC DETECTION OF MUSCLE ACTIVATION MOMENTS

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F19%3APU131978" target="_blank" >RIV/00216305:26220/19:PU131978 - isvavai.cz</a>
Result on the web
<a href="http://www.feec.vutbr.cz/conf/EEICT/archiv/sborniky/EEICT_2019_sbornik.pdf" target="_blank" >http://www.feec.vutbr.cz/conf/EEICT/archiv/sborniky/EEICT_2019_sbornik.pdf</a>
DOI - Digital Object Identifier
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Result language
angličtina
Original language name
COMPARISON OF MANUAL AND AUTOMATIC DETECTION OF MUSCLE ACTIVATION MOMENTS
Original language description
Detection of muscle activation moments is very important characteristic of human mobility. Muscle activation is used to describe how muscles work during some action. There are dif-ferences between muscle activation of healthy people and people suffering from neuro-degenerative diseases or musculoskeletal disorders. The aim of this article is to compare re-sults from manual and automatic detection of muscle activation moments from which driver reaction time is estimated. The main interest of this work is to find out if reaction time of healthy people differs from reaction time of people suffering by Parkinson disease.
Czech name
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Czech description
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Publication year
2019
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Proceedings of the 25th Conference STUDENT EEICT 2019
ISBN
978-80-214-5735-5
ISSN
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e-ISSN
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Number of pages
6
Pages from-to
457-462
Publisher name
Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních
Place of publication
Brno
Event location
Brno
Event date
Apr 25, 2019
Type of event by nationality
CST - Celostátní akce
UT code for WoS article
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