Item not available in this repository.Falls are the leading cause of death due to injury in the elderly and therefore a major problem
in our aging society. In order to prevent falls it is of great importance that clinicians are able to identify those who are at
risk of falling and intervene early. However, capturing gait instability is difficult as the human body is well capable of
compensating for impairments and hence it is difficult to distinguish fallers from non-fallers during steady state walking
using currently available stability measures1. Most falls in the elderly occur during locomotion as gait resilience is
compromised due to aging and therefore the ability to resist external perturbations during walking is also decreased.
Measuring the response to external perturbations has been proposed to quantify dynamic stability and to identify fall-risk.
However, perturbations used in these studies are unlikely to occur in everyday life and are dangerous and difficult to
monitor. Little is known about the type of experimental perturbations that could be used for diagnosis of fallers . Therefore,
the aim of this study is to evaluate the feasibility of a protocol that mimics perturbations encountered in daily life like, a
push, a trip, a slip, sudden darkness or a loud noisehttps://isbweb.org/https://isbweb.org/images/conferences/isb-congresses/2015/isb_2015_abstract_book_final.pdfpubpu
