Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: BACKGROUND: Several methods are proposed in the literature for the quantification of gait variability/stability from trunk accelerations. Since outputs can be influenced by implementation differences, reliability assessment and standardization of implementation parameters are still an issue. The aim of this study is to assess the minimum number of required strides and the within-session reliability of 11 variability/stability measures. METHOD: Ten healthy participants walked in a straight line at self-selected speed aring two synchronized tri-axial Inertial Measurement Units. Five variability measures re calculated based on stride times namely Standard deviation, Coefficient of variation, Inconsistency of variance, Nonstationary index and Poincare plot. Six stability measures re calculated based on trunk accelerations namely Maximum Floquet multipliers, Short term/long term Lyapunov exponents, Recurrence quantification analysis, Multiscale entropy, Harmonic ratio and Index of harmonicity. The required minimum number of strides and the within-session reliability for each measure re obtained based on the interquartile range/mean ratio. Measures re classified in five categories (namely excellent, good, average, poor, and very poor) based on their reliability. RESULTS: The number of strides required to obtain a reliable measure was generally larger than those conventionally used. Variability measures shod average to poor reliability, while stability measures ranged from excellent to very poor reliability. CONCLUSION: Recurrence quantification analysis and multiscale entropy of trunk accelerations shod excellent reliability and a reasonable number of required strides. Based on these results, these measures should be taken into consideration in the assessment of fall risk. Language: en
['F. Riva', 'Maria Cristina Bisi', 'Rita Stagni']
I am writing a research paper on a idea Gait variability and stability measures: Minimum number of strides and within-session reliability
[{"from": "human", "value": "I am writing a research paper on a idea Gait variability and stability measures: Minimum number of strides and within-session reliability"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: BACKGROUND: Several methods are proposed in the literature for the quantification of gait variability/stability from trunk accelerations. Since outputs can be influenced by implementation differences, reliability assessment and standardization of implementation parameters are still an issue. The aim of this study is to assess the minimum number of required strides and the within-session reliability of 11 variability/stability measures. METHOD: Ten healthy participants walked in a straight line at self-selected speed aring two synchronized tri-axial Inertial Measurement Units. Five variability measures re calculated based on stride times namely Standard deviation, Coefficient of variation, Inconsistency of variance, Nonstationary index and Poincare plot. Six stability measures re calculated based on trunk accelerations namely Maximum Floquet multipliers, Short term/long term Lyapunov exponents, Recurrence quantification analysis, Multiscale entropy, Harmonic ratio and Index of harmonicity. The required minimum number of strides and the within-session reliability for each measure re obtained based on the interquartile range/mean ratio. Measures re classified in five categories (namely excellent, good, average, poor, and very poor) based on their reliability. RESULTS: The number of strides required to obtain a reliable measure was generally larger than those conventionally used. Variability measures shod average to poor reliability, while stability measures ranged from excellent to very poor reliability. CONCLUSION: Recurrence quantification analysis and multiscale entropy of trunk accelerations shod excellent reliability and a reasonable number of required strides. Based on these results, these measures should be taken into consideration in the assessment of fall risk. Language: en"}]