Document Detail


Quantitative Description of the Lie-to-Sit-to-Stand-to-Walk Transfer by a Single Body-Fixed Sensor.
MedLine Citation:
PMID:  23221832     Owner:  NLM     Status:  Publisher    
Abstract/OtherAbstract:
Sufficient capacity and quality of performance of complex movement patterns during daily activity, such as standing up from a bed, is a prerequisite for independent living and also may be an indicator of fall risk. Up to now, the transfer from lying-to-sit-to-stand-to-walk (LSSW) was investigated by functional testing, subjective rating or for activity classification of sub-tasks. The aim of this study was to use a single body-fixed inertial sensor to describe the complex movement of the LSSW transfer. Fifteen older patients of a geriatric rehabilitation clinic (median age 81 years) and 10 young healthy persons (median age 37 years) were instructed to stand up from bed in a continuous movement and to start walking. Data acquisition was performed using an inertial measurement unit worn on the lower back. Parameters extracted from the sensor outputs were able to correctly classify the subjects into a correct group with sensitivity and specificity between 90% and 100%. ICCs3,1 of the descriptive parameters ranged between 0.85 and 0.95 in the cohort of older patients. The different strategies adopted to transfer from lying to standing up were estimated through an Extended Kalman Filter. The results obtained in this study suggest the usability of the instrumented LSSW test in clinical settings.
Authors:
F Bagala; J Klenk; A Cappello; L Chiari; C Becker; U Lindemann
Publication Detail:
Type:  JOURNAL ARTICLE     Date:  2012-12-05
Journal Detail:
Title:  IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society     Volume:  -     ISSN:  1558-0210     ISO Abbreviation:  IEEE Trans Neural Syst Rehabil Eng     Publication Date:  2012 Dec 
Date Detail:
Created Date:  2012-12-10     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  101097023     Medline TA:  IEEE Trans Neural Syst Rehabil Eng     Country:  -    
Other Details:
Languages:  ENG     Pagination:  -     Citation Subset:  -    
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