Citation

Newland P, Wagner JM, Salter A, Thomas FP, Skubic M, Rantz M. Gait Posture 2016; 49: 277-282.

Affiliation

Curators' Professor Emerita Sinclair School of Nursing, University of Missouri, Columbia, MO 65211, United States. Electronic address: rantzm@missouri.edu.

Copyright

(Copyright © 2016, Elsevier Publishing)

DOI

10.1016/j.gaitpost.2016.07.005

PMID

27474948

Abstract

Gait parameters variability and falls are problems for persons with MS and have not been adequately captured in the home. Our goal was to explore the feasibility and acceptability of monitoring of gait and falls in the homes of persons with MS over a period of 30 days. To test the feasibility of measuring gait and falls for 30days in the home of persons with MS, spatiotemporal gait parameters stride length, stride time, and gait speed were compared. A 3D infrared depth imaging system has been developed to objectively measure gait and falls in the home environment. Participants also completed a 16-foot GaitRite electronic pathway walk to validate spatiotemporal parameters of gait (gait speed (cm/s), stride length (cm), and gait cycle time(s)) during the timed 25 foot walking test (T25FWT). We also documented barriers to feasibility of installing the in-home sensors for these participants. The results of the study suggest that the Kinect sensor may be used as an alternative device to measure gait for persons with MS, depending on the desired accuracy level. Ultimately, using in-home sensors to analyze gait parameters in real time is feasible and could lead to better analysis of gait in persons with MS.

Copyright © 2016 Elsevier B.V. All rights reserved.

Language: en