Literature DB >> 28475201

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

Michael Schwenk1,2,3, Marwan Sabbagh4, Ivy Lin1, Pharah Morgan1, Gurtej S Grewal1, Jane Mohler1,2, David W Coon5, Bijan Najafi1,2,6.   

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.

Entities:  

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

Mesh:

Year:  2016        PMID: 28475201      PMCID: PMC6644036          DOI: 10.1682/JRRD.2015.05.0089

Source DB:  PubMed          Journal:  J Rehabil Res Dev        ISSN: 0748-7711


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