Sensors (Apr 2020)

Portable Ultrasound-Based Device for Detecting Older Adults’ Sit-to-Stand Transitions in Unsupervised 30-Second Chair–Stand Tests

  • Antonio Cobo,
  • Elena Villalba-Mora,
  • Dieter Hayn,
  • Xavier Ferre,
  • Rodrigo Pérez-Rodríguez,
  • Alberto Sánchez-Sánchez,
  • Raquel Bernabé-Espiga,
  • Juan-Luis Sánchez-Sánchez,
  • Andrea López-Diez-Picazo,
  • Cristian Moral,
  • Leocadio Rodriguez-Mañas

DOI
https://doi.org/10.3390/s20071975
Journal volume & issue
Vol. 20, no. 7
p. 1975

Abstract

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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 effect of outliers, likely produced because older people tend to produce more motion artefacts and, thus, noisier signals. While the intra-class correlation coefficient (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 sufficient to support clinical decision-making.

Keywords