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<identifier>oai:HAL:hal-01165773v1</identifier>
<datestamp>2015-06-22</datestamp>
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<setSpec>collection:IGS2015</setSpec>
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<metadata><dc>
<publisher>HAL CCSD</publisher>
<title lang=en>Omega-Lognormal Analysis of Oscillatory Movements as a Function of Brain Stroke Risk Factors</title>
<creator>Bou Hernandez, Albert</creator>
<creator>Fischer, Andreas</creator>
<creator>Plamondon, Réjean</creator>
<contributor>Laboratoire scribens ; Ecole Polytechnique de Montréal (EPM)</contributor>
<contributor>iCoSys Institute ; University of Applied Sciences and Arts Northwestern Switzerland (HES-SO)</contributor>
<contributor>DIUF Department ; Department of Biology, University of Fribourg, Switzerland</contributor>
<description>International audience</description>
<source>17th Biennial Conference of the International Graphonomics Society</source>
<coverage>Pointe-à-Pitre, Guadeloupe</coverage>
<contributor>International Graphonomics Society (IGS)</contributor>
<contributor>Université des Antilles (UA)</contributor>
<contributor>Céline Rémi</contributor>
<contributor>Lionel Prévost</contributor>
<contributor>Eric Anquetil</contributor>
<identifier>hal-01165773</identifier>
<identifier>https://hal.univ-antilles.fr/hal-01165773</identifier>
<identifier>https://hal.univ-antilles.fr/hal-01165773/document</identifier>
<identifier>https://hal.univ-antilles.fr/hal-01165773/file/IGS_2015_submission_9.pdf</identifier>
<source>https://hal.univ-antilles.fr/hal-01165773</source>
<source>Céline Rémi; Lionel Prévost; Eric Anquetil. 17th Biennial Conference of the International Graphonomics Society, Jun 2015, Pointe-à-Pitre, Guadeloupe. 2015, Drawing, Handwriting Processing Analysis: New Advances and Challenges</source>
<language>en</language>
<subject lang=en>Omega-Lognormal model.</subject>
<subject lang=en>Kinematic Theory</subject>
<subject>[INFO] Computer Science [cs]</subject>
<type>info:eu-repo/semantics/conferenceObject</type>
<type>Conference papers</type>
<description lang=en>The development of predictive tools has been commonly utilized as the most effective manner to prevent illnesses thatstrike suddenly. Within this context, investigations linking fine human motor control with brain stroke risk factors areconsidered to have a high potential but they are still in an early stage of research. The present paper analysesneuromuscular features of oscillatory movements based on the Omega-Lognormal model of the Kinematic Theory. On adatabase of oscillatory movements from 120 subjects, we demonstrate that the proposed features differ significantlybetween subjects with and without brain stroke risk factors. This promising result motivates the development ofpredictive tools based on the Omega-Lognormal model.</description>
<date>2015-06-21</date>
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