DocumentCode
186113
Title
Distinguishing between stable and unstable sit-to-stand transfers using pressure sensors
Author
Bennett, S.L. ; Goubran, Rafik ; Rockwood, K. ; Knoefel, Frank
Author_Institution
Dept. of Comput. & Syst. Eng., Carleton Univ., Ottawa, ON, Canada
fYear
2014
fDate
11-12 June 2014
Firstpage
1
Lastpage
4
Abstract
The sit-to-stand transfer has been examined in depth using many different methods. Pressure mats and or force plates have been used to partition the transfer into phases. These phases help to identify the beginning and end of the transfer and describe the movement performance, therefore characterizing the transition. The methods of phase breakdown, however, vary depending on the source. In this paper, the objective was to distinguish between a vigorous sit to stand transfer and a slower, less stable sit to stand transfer using a different approach. Ten subjects performed two sit-to-stand transfers each on a hospital mattress, while pressure sensors underneath the mattress gathered movement data. The center of mass was calculated and three features were extracted, then evaluated by a classifier to determine if the features could distinguish between the two movements. Examination of the results determined that two of the three features yielded total accuracy, despite inconsistencies in subject performance. These results suggest that the center of pressure can be used to distinguish between slow, unstable sit-to-stand transfers and vigorous ones. Future work will include the examination of center of pressure in the measurement of balance, as well as the overall assessment of sit-to-stand performance.
Keywords
biomedical measurement; gait analysis; geriatrics; pressure sensors; center-of-mass; pressure sensors; sit-to-stand transfers; Biomedical measurement; Equations; Feature extraction; Mathematical model; Pressure measurement; Senior citizens; Sensors; Elderly; feature extraction; pressure sensors; sit-to-stand; unobtrusive monitoring;
fLanguage
English
Publisher
ieee
Conference_Titel
Medical Measurements and Applications (MeMeA), 2014 IEEE International Symposium on
Conference_Location
Lisboa
Print_ISBN
978-1-4799-2920-7
Type
conf
DOI
10.1109/MeMeA.2014.6860034
Filename
6860034
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