Several parameters (usually highly correlated) can be computed from the signals recorded during the test. To avoid redundancy and identify the features that are most sensitive to locomotor performance, a dimensionality reduction was performed through principal component analysis (PCA). For fall-risk assessment, an instrumented TUG test that uses portable inertial sensors (iTUG test) has been proposed to improve the TUG test in several ways; namely, by allowing for automatic detection and separation of each performance, facilitating a detailed analysis of each and enabling a higher sensitivity than the TUG test. The TUG test is classified into 6 phases: sit-to-bend, bend-to-stand, walking, turning, walking, turning, stand-to-bend, and bend-to-sit and two combined phases of sit-to-stand and stand-to-sit.
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Last date updated on November, 2020