Modelling motion sickness
PBN-AR
Instytucja
Wojskowy Instytut Medycyny Lotniczej
Informacje podstawowe
Główny język publikacji
en
Czasopismo
The Polish Journal of Aviation Medicine, Bioengineering and Psychology
ISSN
2451-3512
EISSN
2543-7186
Wydawca
POLSKIE TOWARZYSTWO MEDYCYNY LOTNICZEJ
DOI
Rok publikacji
2017
Numer zeszytu
3
Strony od-do
32-42
Numer tomu
22
Identyfikator DOI
Liczba arkuszy
Autorzy
(liczba autorów: 1)
Słowa kluczowe
en
motion sickness
mathematical model
sensory confl ict
subjective vertical
Streszczenia
Język
en
Treść
Motion sickness is an undesirable phenomenon and continues to be an unresolved problem. Therefore, research is conducted aiming to understand the etiology of this disease better, as well as to anticipate its symptoms. This research is increasingly supported by numerical calculations, for the needs of which models of severity of motion sickness symptoms are developed. The aim of this paper is to review and characterize the models of severity of motion sickness symptoms available in the literature, as well as examples of the use of these models in research. The fi rst part describes the four most commonly used models of severity of motion sickness symptoms. A graphic representation of models and mathematical relationships were presented, based on which severity of the disease is determined. Finally, several examples of the use of these models in research are listed. Taking into account the limitations of using certain models, the most prospective model for predicting severity of motion sickness symptoms was presented. The specific advantages of this model were described, as well as the conditions under which the study using this model should be conducted, in order to ensure reliable results.
Cechy publikacji
discipline:Medycyna
discipline:Medicine
Review article
Review article is a summarization of the current state of the research on a particular subject.
Artykuł przeglądowy
Artykuł przeglądowy stanowi podsumowanie aktualnego stanu badań w danym obszarze tematycznym.
Inne
System-identifier
PBN-R:906677
CrossrefMetadata from Crossref logo
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