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: A comparative study on approximate entropy measure and poincaré plot indexes of minimum foot clearance variability in the elderly during walking | Journal of NeuroEngineering and Rehabilitation BioMed Central Research Open Access A comparative study on approximate entropy measure and poincaré plot indexes of minimum foot clearance variability in the elderly during walking Ahsan H Khandoker 1 Marimuthu Palaniswami1 and Rezaul K Begg2 Address department of Electrical Electronic Engineering The Universityof Melbourne VIC 3010 Australia and 2Biomechanics Unit Centre for Ageing Rehabilitation Exercise and Sport Victoria University VIC 8001 Australia Email Ahsan H Khandoker - Marimuthu Palaniswami - swami@ Rezaul K Begg - Corresponding author Published 2 February 2008 Received 29 January 2007 Journal of NeuroEngineering and Rehabilitation 2008 5 4 doi 1743-0003-5-4 Accepted 2 Fd ruary 2008 This article is available from http content 5 1 4 2008 Khandoker et al licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License http licenses by which permits unrestricted use distribution and reproduction in any medium provided the original work is properly cited. Abstract Background Trip-related falls which is a major problem in the elderly population might be linked to declines in the balance control function due to ageing. Minimum foot clearance MFC which provides a more sensitive measure of the motor function of the locomotor system has been identified as a potential gait parameter associated with trip-related falls in older population. This paper proposes nonlinear indexes approximate entropy ApEn and Poincaré plot indexes of MFC variability and investigates the relationship of MFC with derived indexes of elderly gait patterns. The main aim is to find MFC variability indexes that well correlate with balance impairments. Methods MFC data during treadmill walking for 14 healthy elderly and 10 elderly participants with balance .
