Exploring the feasibility and acceptability of sensor monitoring of gait and falls in the homes of persons with multiple sclerosis

Pamela Newland, Joanne M. Wagner, Amber Salter, Florian P. Thomas, Marjorie Skubic, Marilyn Rantz

Research output: Contribution to journalArticlepeer-review

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 30 days 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.

Original languageEnglish (US)
Pages (from-to)277-282
Number of pages6
JournalGait and Posture
Volume49
DOIs
StatePublished - Sep 1 2016
Externally publishedYes

Keywords

  • Falls
  • Gait
  • Home monitoring
  • Multiple sclerosis

ASJC Scopus subject areas

  • Biophysics
  • Orthopedics and Sports Medicine
  • Rehabilitation

Fingerprint

Dive into the research topics of 'Exploring the feasibility and acceptability of sensor monitoring of gait and falls in the homes of persons with multiple sclerosis'. Together they form a unique fingerprint.

Cite this