Journal
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS
Volume 17, Issue 4, Pages 820-827Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/JBHI.2013.2238243
Keywords
Accelerometer; frailty; gyroscope; signal analysis; 30-s chair stand test
Categories
Funding
- Spanish Department of Health and Institute Carlos III of the Government of Spain [Spanish Net on Aging and frailty
- (RETICEF)] [RD06/013/1003]
- Department of Health of the Government of Navarre [87/2010]
- Economy and Competitivity Department of the Government of Spain [DEP2011-24105]
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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.
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