Can gait metric be used to determine falls risk?
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Gait metrics can indeed be utilized to determine falls risk. Various studies have highlighted the significance of gait analysis in assessing fall risk. Research has shown that combining multiple fall risk metrics, such as gait velocity and heel strike angle, can provide a more accurate prediction of falls in older individuals . Wearable devices like the G-STRIDE system, incorporating inertial measurement units, have been validated for assessing walking parameters correlated with clinical markers of fall risk, showing good discrimination between fallers and non-fallers . Additionally, the use of wearable gait measurement devices, like inertial measurement units, has demonstrated the potential to enhance falls risk assessment by accurately measuring gait features associated with falls and developing predictive algorithms based on these metrics .
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| Papers (5) | Insight |
|---|---|
| Yes, gait metrics, such as foot rotation index and joint variability, can be combined to predict fall risk accurately, highlighting the importance of using multiple metrics for stability assessment. | |
| Yes, gait metrics, such as walking speed measured by G-STRIDE, can be used to determine falls risk in the elderly population, showing good correlation with clinical markers of fall risk. | |
| Yes, gait metrics like velocity and heel strike angles can help determine fall risk in community-dwelling older individuals, as indicated by the study using mobile inertial sensors. | |
| Yes, gait metrics, specifically the distance of the Body Center of Mass (BCOM) to the Minimal Moment Axis (MMA), can be used to quantify the risk of falling. | |
20 Oct 2021 | Yes, gait metrics, especially those obtained from wearable technologies like IMUs, can be utilized to predict falls risk with comparable or better accuracy than traditional methods. |
Related Questions
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Does kinematic or spatiotemporal analysis of gait reveal a clinical measure of knee OA severity?3 answersKinematic and spatiotemporal analysis of gait can provide a clinical measure of knee OA severity. In a study by Ismailidis et al., it was found that patients with knee OA had slower walking speed, longer stride duration, shorter stride length, and lower cadence compared to control subjects. Another study by Nüesch et al. showed that gait kinematics specific to knee OA, such as knee angles, differed between patients with knee OA and patients with hip OA. These kinematic deviations were more pronounced in the affected leg of patients and were associated with patient-reported outcome measures. Additionally, a study by Halim et al. used gait analysis to extract distinctive gait kinematic features in symptomatic knee OA patients and found that clustering analysis based on pain and gait characteristics could be used to assess knee OA characterization. Therefore, kinematic and spatiotemporal analysis of gait can provide valuable insights into the severity of knee OA.
Does the balance test predict gait?3 answersThe balance test can predict gait. A portable gait and balance fast real-time test system has been developed that can detect step widths, step sizes, and the pressure on the soles during running, allowing exercisers to accurately know their own running data and adjust their running postures accordingly. Another study used a balance testing methodology based on a posture control model to assess relative stability and predict large-amplitude transient response. The test was able to identify balance-impaired individuals, including elderly fallers, with a high success rate. Additionally, a procedure and device were proposed for quantitatively recognizing gait by expressing 3-D acceleration data visually, allowing for the quantification of walking animal gait balance. Therefore, the balance test can provide valuable information about gait and help identify individuals at risk of falling.