Chair Rise Peak Power in Daily Life Measured With a Pendant Sensor Associates With Mobility, Limitation in Activities, and Frailty in Old People

IEEE J Biomed Health Inform. 2017 Jan;21(1):211-217. doi: 10.1109/JBHI.2015.2501828. Epub 2015 Nov 19.

Abstract

The aim of this study was to analyze the clinical relevance of sensor-based daily life chair rise performance measured in old people. A pendant-sensor was worn during standardized tests and in daily life to detect chair rise transfers and analyze transfer peak power. Linear correlations between mean, median, 25th, and 75th percentile transfer peak powers in daily life and mean peak power in standardized tests were evaluated with Pearson correlation ( r). Associations between transfer peak powers in different experiments and outcomes of a clinical mobility test [timed-up-and-go (TUG)], a test of limitation in activities [Groningen activity restriction scale (GARS)], and a frailty test [Groningen frailty indicator (GFI)] were evaluated with Spearman correlation (ρ). Twenty-five old people (70-85 years) participated in the study. The results showed that chair rise peak powers assessed based upon one-week of daily life activities significantly correlated with peak power measured in standardized tests (r: [0.66, 0.74], p < 0.01). Chair rise peak power in daily life significantly associated with TUG scores (ρ: [-0.71, -0.58], ), GARS (ρ: [-0.62, -0.48], ), and GFI (ρ: [-0.52, -0.43], ). Chair rise peak powers in daily life had stronger associations with clinical measurements than standardized tests. In addition, chair rise peak powers measured in old people using assistive devices was significantly lower compared to those not using assistive devices. These results indicate usefulness of the pendant-sensor-based chair rise performance analysis in continuous monitoring and assessment of mobility, limitations in activities and frailty associated variables in old people's daily life.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Activities of Daily Living / classification*
  • Aged
  • Aged, 80 and over
  • Algorithms
  • Female
  • Frail Elderly*
  • Humans
  • Male
  • Monitoring, Ambulatory / instrumentation*
  • Monitoring, Ambulatory / methods*
  • Motor Skills / physiology*
  • Moving and Lifting Patients
  • Signal Processing, Computer-Assisted