Abstract
Two algorithms for evaluating postural transitions (PTs) in cohorts of 40 healthy younger and 40 older adults are described and evaluated. The time of sit-to-stand (SiSt) and stand-to-sit (StSi) transitions and their duration were measured with two tri-axial accelerometers, one on the chest and one on the lower back. Each algorithm was optimized for these sensor placements. The first algorithm for sensor placement on the chest used a scalar product and vertical velocity estimates. The second algorithm for sensor placement on the lower back used a vector magnitude and a discrete wavelet transform. Both algorithms performed excellently in PT classification for younger and older adults (>86%). However, the chest based sensor and algorithm were better for estimating transition duration (TD) with ICCs to video analysis ranging from 0.678 to 0.969.
Original language | English |
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Title of host publication | 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society |
Publisher | IEEE |
Pages | 6234-7 |
Number of pages | 4 |
Volume | 2014 |
ISBN (Electronic) | 978-1-4244-7929-0 |
DOIs | |
Publication status | Published - 2014 |
Event | EMBC’14 - 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society - Illinois, USA Duration: 26 Jun 2014 → … |
Publication series
Name | Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings |
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Publisher | Institute of Electrical and Electronics Engineers Inc. |
ISSN (Print) | 1557-170X |
Conference
Conference | EMBC’14 - 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society |
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Period | 26/06/14 → … |
Keywords
- Accelerometry/instrumentation
- Adult
- Algorithms
- Female
- Humans
- Male
- Middle Aged
- Movement/physiology
- Posture/physiology
- Thorax
- Wavelet Analysis
- Young Adult