Identification of individuals at risk of falling is important when designing fall prevention methods. Current stability measures that estimate gait stability and robustness appear limited in predicting falls in older adults. Inspired by recent findings of phase-dependent local stability changes within a gait cycle, we used compass-walker models to test several phase-dependent stability metrics for their usefulness to predict gait robustness. These metrics are closely related to the often-employed maximum finite-time Lyapunov exponent and maximum Floquet multiplier. They entail linearizing the system in a rotating hypersurface orthogonal to the period-one solution, and estimating the local divergence rate of the swing phases and the foot str...
textFalling during walking leads to millions of emergency room visits every year for all age groups ...
Computing the local dynamic stability using accelerometer data from inertial sensors has recently be...
AbstractEstimating local dynamic stability is considered a powerful approach to identify persons wit...
Identification of individuals at risk of falling is important when designing fall prevention methods...
Identification of individuals at risk of falling is important when designing fall prevention methods...
Falling poses a major threat to the steadily growing population of the elderly in modern-day society...
Measures calculated from unperturbed walking patterns, such as variability measures and maximum Floq...
Variability in kinematic and spatio-temporal gait parameters has long been equated with stability an...
Weakness or injury to the neural or musculoskeletal system can compromise an individual’s ability to...
Full list of author information is available at the end of the articleSeveral methods for quantifyin...
Numerous measures of dynamic stability have been proposed to gauge fall risk in the elderly, includi...
abstract: As life expectancy continually rises, many age-related conditions such as deteriorated gai...
Estimating local dynamic stability is considered a powerful approach to identify persons with balanc...
Falls while walking are frequent in patients with muscular dysfunction resulting from neurological d...
Falls not only present a considerable health threat, but the resulting treatment and loss of working...
textFalling during walking leads to millions of emergency room visits every year for all age groups ...
Computing the local dynamic stability using accelerometer data from inertial sensors has recently be...
AbstractEstimating local dynamic stability is considered a powerful approach to identify persons wit...
Identification of individuals at risk of falling is important when designing fall prevention methods...
Identification of individuals at risk of falling is important when designing fall prevention methods...
Falling poses a major threat to the steadily growing population of the elderly in modern-day society...
Measures calculated from unperturbed walking patterns, such as variability measures and maximum Floq...
Variability in kinematic and spatio-temporal gait parameters has long been equated with stability an...
Weakness or injury to the neural or musculoskeletal system can compromise an individual’s ability to...
Full list of author information is available at the end of the articleSeveral methods for quantifyin...
Numerous measures of dynamic stability have been proposed to gauge fall risk in the elderly, includi...
abstract: As life expectancy continually rises, many age-related conditions such as deteriorated gai...
Estimating local dynamic stability is considered a powerful approach to identify persons with balanc...
Falls while walking are frequent in patients with muscular dysfunction resulting from neurological d...
Falls not only present a considerable health threat, but the resulting treatment and loss of working...
textFalling during walking leads to millions of emergency room visits every year for all age groups ...
Computing the local dynamic stability using accelerometer data from inertial sensors has recently be...
AbstractEstimating local dynamic stability is considered a powerful approach to identify persons wit...