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Workload Assessment in Remote Mixed Reality Medical Procedural Training Through Physiological Signals.

Weronika Celniak, Manuel Rebol, Bo Lee

    Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
    |March 5, 2025
    PubMed
    Summary
    This summary is machine-generated.

    Mixed reality (MR) enhances medical training by reducing cognitive load during complex procedures like ultrasound-guided central venous catheterization. Physiological signals indicate improved learning experiences with holographic guidance.

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    Area of Science:

    • Medical Education Technology
    • Human-Computer Interaction
    • Physiological Computing

    Background:

    • Mixed reality (MR) is increasingly used in medical education for procedural guidance.
    • The impact of MR on cognitive load and learning performance requires further investigation.
    • Quantifying cognitive load through physiological signals can assess the utility of MR in training.

    Purpose of the Study:

    • To analyze cognitive load during simulated ultrasound-guided central venous catheterization (CVC) using MR remote assistance.
    • To evaluate the impact of MR on cognitive load during high-precision versus low-precision procedural tasks.
    • To compare the MR learning experience with traditional teleconferencing methods.

    Main Methods:

    • Cognitive load assessment using pupillary diameter (PD) and heart rate variability (HRV).
    • Trained students on simulated ultrasound-guided CVC procedures with MR remote assistance.
    • Compared physiological data between high-precision (vessel location, needle insertion) and low-precision (guidewire, catheter insertion) tasks.
    • Included a control group using teleconferencing software.

    Main Results:

    • Mean pupillary diameter (PD) was significantly lower during high-precision MR-guided tasks, indicating reduced cognitive load (p<0.09).
    • Heart rate variability showed a similar, though non-significant, trend towards decreased cognitive load with MR.
    • The control group did not show significant differences in workload between high and low-precision tasks.

    Conclusions:

    • Mixed reality with holographic object guidance appears to reduce cognitive load in medical procedural training.
    • Physiological measures like PD can effectively quantify the cognitive benefits of MR in medical education.
    • Incorporating holographic models into training can enhance the learning experience for complex medical procedures.