Abstract:
:The aim of this study was to evaluate the inertial measures of the 30-s chair stand test using modern body-fixed motion sensors. Polynomial data fitting was used to correct the drift effect in the position estimation. Thereafter, the three most important test cycles phases ("impulse," "stand up," and "sit down") were characterized and automatically analyzed. Automated test control is provided, making it possible for researchers without engineering knowledge to run the test. A collection of meaningful data based on kinematic variables is selected for further research. The proposed methodology for data analysis is a feasible tool for use in clinical settings. This method may not only improve rehabilitation therapies but also identify people at risk for falls more accurately than simply evaluating the number of cycles.
journal_name
IEEE J Biomed Health Informjournal_title
IEEE journal of biomedical and health informaticsauthors
Millor N,Lecumberri P,Gomez M,Martinez-Ramirez A,Rodriguez-Manas L,Garcia-Garcia FJ,Izquierdo Mdoi
10.1109/JBHI.2013.2238243subject
Has Abstractpub_date
2013-07-01 00:00:00pages
820-7issue
4eissn
2168-2194issn
2168-2208journal_volume
17pub_type
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