Unfolding the dynamics of driving behavior: a machine learning analysis from Germany and Belgium

The presentation contains the result of a rheoencephalographic study of 67 sons and daughters of the patients with ischemic stroke of a hemispheric localization. Some rheoencephalographic signs testifying to the presence of a cerebro-vascular deficiency in the relatives of the probands were depicted. The use of nitroglycerin sample permitted to reveal in practically healthy relatives certain REG changes which exceeded the normal limits. These shifts were mainly observed in the elder age group of the investigated individuals (above 40 years). The obtained data can promote detection of those ind... Mehr ...

Verfasser: Roussou, Stella
Michelaraki, Eva
Katrakazas, Christos
Afghari, Amir Pooyan
Al Haddad, Christelle
Alam, Md Rakibul
Antoniou, Constantinos
Papadimitriou, Eleonora
Brijs, Tom
Yannis, George
Dokumenttyp: Artikel
Erscheinungsdatum: 2024
Verlag/Hrsg.: SPRINGERONE NEW YORK PLAZA
Schlagwörter: On-road field trials / Driving behavior / Long-short-term-memory network (LSTM) / Neural network / Machine learning
Sprache: Englisch
Permalink: https://search.fid-benelux.de/Record/base-28552381
Datenquelle: BASE; Originalkatalog
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Link(s) : http://hdl.handle.net/1942/43389