Why the study?
Vestibular impairments affect movement, and it was unknown whether the Timed Up and Go test could objectively assess balance dysfunction in patients with unilateral vestibular impairments.
Can the TUG test with IMU sensors objectively assess balance dysfunction in patients with unilateral vestibular impairments?
Can the TUG test with IMU sensors objectively assess balance dysfunction in patients with unilateral vestibular impairments?
An artificial neural network approach using six IMU sensors during the TUG test provides high sensitivity and specificity for detecting balance dysfunction in unilateral vestibular impairment.
May aid objective TUG assessment in vestibular impairment; leaves open prospective validation before practice change.
Vestibular impairments affect movement and can result in difficulties with daily life activities. The main aim of this study is to determine whether a short, simple test such as the Timed Up and Go test (TUG) can be an objective method of assessing balance dysfunction in patients with unilateral vestibular impairments. The TUG test was performed using six MediPost devices. The analysis was performed in three ways: (1) an analytical approach based only on data from one sensor; (2) an analytical approach based on data from six sensors; (3) an artificial neural network (ANN) approach based on data from six sensors. The best results were obtained using maximum angular velocities (MAV) of rotation and total time (TT) for approaches 1 and 2, and using 43 different features for approach 3. The following sensitivities and specificities were achieved: MAV 95% and 70%, TT 73% and 88% for approach 1; MAV 60% and 91% and TT 64% and 98% for approach 2; 88% and 92% for approach 3. The ANN-based six-sensor approach demonstrated the best sensitivity and specificity; however, the one-sensor approach might be used as a simple screening test.
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Kamiński et al. (2025) studied this question.
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