Literature DB >> 3655126

Prediction of the incidence of motion sickness from the magnitude, frequency, and duration of vertical oscillation.

A Lawther1, M J Griffin.   

Abstract

A method is proposed by which the incidence of motion sickness may be predicted from measurement of the motion exposure. The method is based on data from both field and laboratory studies involving large numbers of people and is applicable to marine and other environments where vertical oscillation occurs at frequencies below 0.5 Hz. The dependence of motion sickness on the frequency of oscillation requires the use of a weighting function between 0.1 and 0.5 Hz. The dependence of sickness on the duration of exposure is incorporated by the use of a cumulative measure of motion dose based on the product of root-mean-square (rms) acceleration magnitude and the square root of stimulus duration. The influence of population variables such as sex, age, and motion experience is discussed. The method enables separate predictions to be made of vomiting incidence and of feelings of illness. The prediction procedure, while not seeking to explain the underlying mechanisms of motion sickness occurrence, provides a generally applicable method which is simple to use and has an accuracy consistent with the experimental data on which it is based.

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Mesh:

Year:  1987        PMID: 3655126     DOI: 10.1121/1.395295

Source DB:  PubMed          Journal:  J Acoust Soc Am        ISSN: 0001-4966            Impact factor:   1.840


  9 in total

1.  Effects of motion sickness severity on the vestibular-evoked myogenic potentials.

Authors:  Cynthia G Fowler; Amanda Sweet; Emily Steffel
Journal:  J Am Acad Audiol       Date:  2014-10       Impact factor: 1.664

Review 2.  Moving in a Moving World: A Review on Vestibular Motion Sickness.

Authors:  Giovanni Bertolini; Dominik Straumann
Journal:  Front Neurol       Date:  2016-02-15       Impact factor: 4.003

3.  Relationship between Spectral Characteristics of Spontaneous Postural Sway and Motion Sickness Susceptibility.

Authors:  Rafael Laboissière; Jean-Charles Letievant; Eugen Ionescu; Pierre-Alain Barraud; Michel Mazzuca; Corinne Cian
Journal:  PLoS One       Date:  2015-12-14       Impact factor: 3.240

4.  Envelope statistics of self-motion signals experienced by human subjects during everyday activities: Implications for vestibular processing.

Authors:  Jérome Carriot; Mohsen Jamali; Kathleen E Cullen; Maurice J Chacron
Journal:  PLoS One       Date:  2017-06-02       Impact factor: 3.240

5.  Determinants of Motion Sickness in Tilting Trains: Coriolis/Cross-Coupling Stimuli and Tilt Delay.

Authors:  Giovanni Bertolini; Meek Angela Durmaz; Kim Ferrari; Alexander Küffer; Charlotte Lambert; Dominik Straumann
Journal:  Front Neurol       Date:  2017-05-15       Impact factor: 4.003

6.  Low level of swiprosin-1/EFhd2 in vestibular nuclei of spontaneously hypersensitive motion sickness mice.

Authors:  Zhi-Bin Wang; Ping Han; Ling-Chang Tong; Yi Luo; Wei-Heng Su; Xin Wei; Xu-Hong Yu; Wei-Ye Liu; Xiu-Hua Zhang; Hong Lei; Zhen-Zhen Li; Fang Wang; Jian-Guo Chen; Tong-Hui Ma; Ding-Feng Su; Ling Li
Journal:  Sci Rep       Date:  2017-01-27       Impact factor: 4.379

7.  Sham-Controlled Study of Optokinetic Stimuli as Treatment for Mal de Debarquement Syndrome.

Authors:  Viviana Mucci; Tyché Perkisas; Steven Douglas Jillings; Vincent Van Rompaey; Angelique Van Ombergen; Erik Fransen; Luc Vereeck; Floris L Wuyts; Paul H Van de Heyning; Cherylea J Browne
Journal:  Front Neurol       Date:  2018-10-25       Impact factor: 4.003

8.  Virtual Reality Is Sexist: But It Does Not Have to Be.

Authors:  Kay Stanney; Cali Fidopiastis; Linda Foster
Journal:  Front Robot AI       Date:  2020-01-31

9.  Multi-Criteria Evaluation for Sorting Motion Planner Alternatives.

Authors:  Georgios Papaioannou; Zaw Htike; Chenhui Lin; Efstathios Siampis; Stefano Longo; Efstathios Velenis
Journal:  Sensors (Basel)       Date:  2022-07-11       Impact factor: 3.847

  9 in total

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