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Assessing elderly's functional balance and mobility via analyzing data from waist-mounted tri-axial wearable accelerometers in timed up and go tests.

Lisha YuYang ZhaoHailiang WangTien-Lung SunTerrence E MurphyKwok-Leung Tsui
Published in: BMC medical informatics and decision making (2021)
The study presented a feasible option for quantitatively accurate, objectively measured, and unobtrusively collected functional balance assessment at the point-of-care or home environment. It also provided clinicians and elderly with stable and sensitive biomarkers for long-term monitoring of functional balance.
Keyphrases
  • middle aged
  • healthcare
  • physical activity
  • palliative care
  • high resolution
  • machine learning
  • heart rate
  • mass spectrometry
  • artificial intelligence