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Motion sickness incidence induced by complex periodic waveforms

J C Guignard, M E McCauley

    Aviation, Space, and Environmental Medicine
    |June 1, 1982
    PubMed
    Summary
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    Complex motion can cause unexpected motion sickness incidence (MSI) in humans. Root mean square (RMS) acceleration alone is unreliable for predicting MSI in complex motion environments.

    Area of Science:

    • Human physiology
    • Biomedical engineering
    • Aerospace medicine

    Background:

    • Motion sickness is a significant concern in various transport environments.
    • Predicting motion sickness incidence (MSI) is crucial for operational safety and crew well-being.
    • Existing models often rely on simplified motion profiles.

    Purpose of the Study:

    • To investigate the motion sickness incidence (MSI) in response to complex vertical motion profiles.
    • To evaluate the predictive capability of a mathematical model for MSI under multi-harmonic motion.
    • To determine if root mean square (RMS) acceleration is a sufficient predictor for MSI in complex motion.

    Main Methods:

    • Young men (up to 32 per group) were exposed to five conditions of vertical (Z-axis) motion.

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  • Motion profiles consisted of a fundamental frequency (0.17 Hz) with added second or third harmonics at varying phase relationships and amplitudes.
  • A control condition of sinusoidal motion (0.17 Hz, 0.13 G RMS) was used for comparison.

    • Main Results:

    • Certain complex motion conditions resulted in unexpectedly high motion sickness incidence (MSI) compared to the control.
    • The previously derived mathematical model's predictions did not fully align with observed MSIs for all complex motion conditions.
    • Root mean square (RMS) acceleration was found to be an unreliable sole predictor of MSI in complex motion.

    Conclusions:

    • Complex motion, particularly with harmonic content, can provoke higher MSI than predicted by simpler models.
    • RMS acceleration is insufficient for accurately predicting MSI in multi-component motion.
    • Further research and data collection are required to develop robust models for predicting MSI in broadband motion environments.