Sensor-based balance training with motion feedback in people with mild cognitive impairment

J Rehabil Res Dev. 2016;53(6):945-958. doi: 10.1682/JRRD.2015.05.0089.

Abstract

Some individuals with mild cognitive impairment (MCI) experience not only cognitive deficits but also a decline in motor function, including postural balance. This pilot study sought to estimate the feasibility, user experience, and effects of a novel sensor-based balance training program. Patients with amnestic MCI (mean age 78.2 yr) were randomized to an intervention group (IG, n = 12) or control group (CG, n = 10). The IG underwent balance training (4 wk, twice a week) that included weight shifting and virtual obstacle crossing. Real-time visual/audio lower-limb motion feedback was provided from wearable sensors. The CG received no training. User experience was measured by a questionnaire. Postintervention effects on balance (center of mass sway during standing with eyes open [EO] and eyes closed), gait (speed, variability), cognition, and fear of falling were measured. Eleven participants (92%) completed the training and expressed fun, safety, and helpfulness of sensor feedback. Sway (EO, p = 0.04) and fear of falling (p = 0.02) were reduced in the IG compared to the CG. Changes in other measures were nonsignificant. Results suggest that the sensor-based training paradigm is well accepted in the target population and beneficial for improving postural control. Future studies should evaluate the added value of the sensor-based training compared to traditional training.

Keywords: balance; biofeedback; cognitive impairment; dementia; exercise; exergame; fall prevention; fall risk; interactive; older adults; postural control; wearable sensor.

Publication types

  • Randomized Controlled Trial

MeSH terms

  • Accidental Falls
  • Aged
  • Aged, 80 and over
  • Cognitive Dysfunction / physiopathology*
  • Exercise Therapy*
  • Feedback, Physiological*
  • Female
  • Gait
  • Humans
  • Male
  • Pilot Projects
  • Postural Balance*