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Reykjavík University

Using virtual reality and kinematic measurements to assess the interplay between motion sickness, neck pain, heart variables and postural control response

Abstract

dc:description.abstract

Motion sickness and neck pain can affect the postural control of individuals. During motion sickness, sensory systems are disrupted and can lead to impaired postural control. However, regarding neck pain, the condition of the cervical muscles can affect how well individuals can maintain balance. The aim of this study is to investigate the relationship between motion sickness, postural control, neck pain, and heart variables during kinematic measurements. Twenty subjects participated in the study and performed two measurements. They also answered questionnaires that were used to determine the classification of the subjects. The first measurement is called BioVRSea; it is used to assess motion sickness and it measures center of pressure, heart variables, and head movement when the subject is immersed in a virtual reality environment in conjunction with a moving platform. The other is called NeckSmart and measures neck proprioception, movement control and range of motion. Statistical analysis and machine learning approaches were used to gain an understanding of the data and categorize subjects based on outcome variables and self-reported questionnaires. Correlations were found between numerous kinematic and physiological variables examined in this study. For example, it was discovered that both neck mobility and heart rate variables are highly correlated with motion sickness. Correlation between neck pain and heart rate as well as postural control was also discovered. This study demonstrates that machine learning is a useful tool for identifying the most important variables to look for when distinguishing between motion sickness and proprioception impairment.

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Hekla Bryndís Jóhannsdóttir 1997-
Contributors dc:contributor
  • Háskólinn í Reykjavík

Subjects

dc:subject × 18

Rights

Language dc:language.iso
en

Identifiers

dc:identifier.*
Handle dc:identifier.uri
http://hdl.handle.net/1946/44889
OAI identifier oai:identifier
oai:skemman.is:1946/44889

Chain of custody

source
Harvested from
Reykjavík University
Base URL
skemman.is/oai/request
Last updated
2026-07-27
Source record
OAI-PMH GetRecord
citation

Hekla Bryndís Jóhannsdóttir 1997-. Using virtual reality and kinematic measurements to assess the interplay between motion sickness, neck pain, heart variables and postural control response. 2023. http://hdl.handle.net/1946/44889