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Showing 1 to 4 of 4 for “"Physiological Profile Assessment"”.

  1. Advances in the assessment and rehabilitation of older adult fallers

    … falls in older adults, both in terms of the assessment of individuals experiencing falls and their physiotherapy based rehabilitation. Firstly, an audit (Chapter 2) of a commonly used falls risk assessment tool (the Physiological Profile Assessment: PPA) was performed to determine the …

    kings Repository record for Advances in the assessment and rehabilitation of older adult fallers (opens in a new tab)

  2. Falls risk and driving performance in older adults

    … as high or low falls risk based on scores on the Physiological Profile Assessment (Lord et al., 2003) and completed a number of challenging driving assessments in which they responded quickly to unexpected events (e.g. a pedestrian stepping into the road) in a high fidelity driving simulator. High …

    uiuc Repository record for Falls risk and driving performance in older adults (opens in a new tab)

  3. Assessing variability of postural control over time using nonlinear dynamics

    … and completed thirty days of daily balance assessment, along with a baseline and follow-up assessment. At baseline, measurements of fall risk were taken such as functional tasks of 10 Meter Walk (10MW), Timed Up and Go (TUG), 30-second Sit To Stand (30STS), and underwent a Physiological …

    uiuc Repository record for Assessing variability of postural control over time using nonlinear dynamics (opens in a new tab)

  4. Striding towards fewer falls: quantifying gait from flat and stair terrains to predict falls in older adults

    … are a major problem; the current fall risk assessments used in fall prevention strategies suffer from a range of limitations. The use of wearable inertial sensors (IMUs) to quantitatively assess gait and predict falls can help fill these gaps. The aims of this research were focused on …

    unsw Repository record for Striding towards fewer falls: quantifying gait from flat and stair terrains to predict falls in older adults (opens in a new tab)