Citation

Borisov V, Sprint G, Cook DJ, Weeks DL. Proc. IEEE Int. Conf. Pervasive Comput. Commun. Worksh. 2017; 2017(ePub): ePub.

Affiliation

St. Luke's Rehabilitation Institute, Spokane, WA 99202 USA (weeksdl@inhs.org).

Copyright

(Copyright © 2017, IEEE Computer Society)

DOI

unavailable

PMID

28691124

Abstract

Restoration of functional independence in gait and vehicle transfer ability is a common goal of inpatient rehabilitation. Currently, ambulation changes tend to be subjectively assessed. To investigate more precise objective assessment of progress in inpatient rehabilitation, we quantitatively assessed gait and transfer performances over the course of rehabilitation with wearable inertial sensors for 20 patients receiving inpatient rehabilitation services. Secondarily, we asked physical therapists to provide feedback about the clinical utility of metrics derived from the sensors. Participant performance was recorded on a sequence of ambulatory tasks that closely resemble everyday activities. We developed a custom software system to process sensor signals and compute metrics that characterize ambulation performance. We quantify changes in gait and transfer ability by performing a repeated measures comparison of the metrics one week apart. Metrics showing the greatest improvement are walking speed, stride regularity, acceleration root mean square, walking smoothness, shank peak angular velocity, and shank range of motion. Furthermore, feedback from physical therapists suggests that wearable sensor-derived metrics can potentially provide rehabilitation therapists with additional valuable information to aid in treatment decisions.

Language: en

Keywords

Accelerometry; activity monitor; ambulatory monitoring; gait analysis; inertial measurement units; physical therapy; rehabilitation; signal processing; wearable sensors