Authors:
A. Sant'Anna
1
;
N. Wickström
1
;
H. Eklund
2
and
R. Tranberg
2
Affiliations:
1
Halmstad University, Sweden
;
2
University of Gothenburg, Sweden
Keyword(s):
Gait Analysis, Inertial Sensors, Symmetry, Normality, Clinical Environment.
Related
Ontology
Subjects/Areas/Topics:
Applications
;
Applications and Services
;
Biomedical Engineering
;
Biomedical Signal Processing
;
Biometrics
;
Biometrics and Pattern Recognition
;
Computer Vision, Visualization and Computer Graphics
;
Devices
;
Health Information Systems
;
Human-Computer Interaction
;
Medical Image Detection, Acquisition, Analysis and Processing
;
Monitoring and Telemetry
;
Multimedia
;
Multimedia Signal Processing
;
Pattern Recognition
;
Physiological Computing Systems
;
Telecommunications
;
Wearable Sensors and Systems
Abstract:
The gold standard for gait analysis, in-lab 3D motion capture, is not routinely used for clinical assessment due to limitations in availability, cost and required training. Inexpensive alternatives to quantitative gait analysis are needed to increase the its adoption. Inertial sensors such as accelerometers and gyroscopes are promising tools for the development of wearable gait analysis (WGA) systems. The present study evaluates the use of a WGA system on hip-arthroplasty patients in a real clinical setting. The system provides information about gait symmetry and normality. Results show that the normality measurements are well correlated with various quantitative and qualitative measures of recovery and health status.