TY - GEN
T1 - Measuring changes in gait and vehicle transfer ability during inpatient rehabilitation with wearable inertial sensors
AU - Borisov, Vladimir
AU - Sprint, Gina
AU - Cook, Diane
AU - Weeks, Douglas
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017/5/2
Y1 - 2017/5/2
N2 - 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 by clinicians. 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. 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 quantified 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. Wearable sensor-derived metrics can potentially provide rehabilitation therapists with additional valuable information to aid in treatment decisions.
AB - 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 by clinicians. 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. 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 quantified 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. Wearable sensor-derived metrics can potentially provide rehabilitation therapists with additional valuable information to aid in treatment decisions.
KW - Accelerometry
KW - Ambulatory monitoring
KW - Inertial measurement units
KW - Signal processing
KW - Wearable sensors
UR - http://www.scopus.com/inward/record.url?scp=85020016591&partnerID=8YFLogxK
U2 - 10.1109/PERCOMW.2017.7917600
DO - 10.1109/PERCOMW.2017.7917600
M3 - Conference contribution
C2 - 28691124
AN - SCOPUS:85020016591
T3 - 2017 IEEE International Conference on Pervasive Computing and Communications Workshops, PerCom Workshops 2017
SP - 425
EP - 430
BT - 2017 IEEE International Conference on Pervasive Computing and Communications Workshops, PerCom Workshops 2017
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2017 IEEE International Conference on Pervasive Computing and Communications Workshops, PerCom Workshops 2017
Y2 - 13 March 2017 through 17 March 2017
ER -