Abstract
Lower-limb strength is a marker of functional decline in elders. This work studies the
feasibility of using the quasi-periodic nature of the distance between a subjects´ back and the chair
backrest during a 30-s chair-stand test (CST) to carry out unsupervised measurements based on
readings from a low-cost ultrasound sensor. The device comprises an ultrasound sensor, an Arduino
UNO board, and a Bluetooth module. Sit-to-stand transitions are identified by filtering the signal
with a moving minimum filter and comparing the output to an adaptive threshold. An inter-rater
reliability (IRR) study was carried out to validate the device ability to count the same number of valid
transitions as the gold-standard manual count. A group of elders (age: mean (m) = 80.79 years old,
SD = 5.38; gender: 21 female and seven male) were asked to perform a 30-s CST using the device
while a trained nurse manually counted valid transitions. Ultimately, a moving minimum filter was
necessary to cancel the e ect of outliers, likely produced because older people tend to produce more
motion artefacts and, thus, noisier signals. While the intra-class correlation coe cient (ICC) for this
study was good (ICC = 0.86, 95% confidence interval (CI) = 0.73, 0.93), it is not yet clear whether the
results are su cient to support clinical decision-making.
| Original language | English |
|---|---|
| Number of pages | 1 |
| Journal | Sensors |
| DOIs | |
| Publication status | Published - 2020 |
Research Field
- Exploration of Digital Health
Keywords
- frailty syndrome; sit-to-stand; 30-s chair stand test; ultrasound; signal processing
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