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Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Fractal time series analysis of postural stability in elderly and control subjects | Journal of NeuroEngineering and Rehabilitation BioMed Central Research Fractal time series analysis of postural stability in elderly and control subjects Hassan Amoudf Mohamed Abadif David J Hewson Valérie Michel-Pellegrinob Michel Doussotf and Jacques Duchêneí Open Access Address Institut Charles Delaunay FRE CNRS 2848 Université de technologie de Troyes 10000 Troyes France Email Hassan Amoud - hassan.amoud@utt.fr Mohamed Abadi - mabadi@univ-ag.fr David J Hewson - david.hewson@utt.fr Valérie Michel-Pellegrino - valerie.michel@utt.fr Michel Doussot - michel.doussot@utt.fr Jacques Duchêne - jacques.duchene@utt.fr Corresponding author tEqual contributors Published I May 2007 Received 15 May 2006 Journal of NeuroEngineering and Rehabilitation 2007 4 12 doi 10.1186 1743-0003-4-12 Accepted 1 May 2007 This article is available from http www.jneuroengrehab.cOm content 4 1 12 2007 Amoud et al licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License http creativecommons.org licenses by 2.0 which permits unrestricted use distribution and reproduction in any medium provided the original work is properly cited. Abstract__ Background The study of balance using stabilogram analysis is of particular interest in the study of falls. Although simple statistical parameters derived from the stabilogram have been shown to predict risk of falls such measures offer little insight into the underlying control mechanisms responsible for degradation in balance. In contrast fractal and non-linear time-series analysis of stabilograms such as estimations of the Hurst exponent H may provide information related to the underlying motor control strategies governing postural stability. In order to be adapted for a home-based follow-up of balance such methods need to be robust regardless of the experimental protocol while producing time-series
