DocumentCode
3685493
Title
Predicting daily gait behaviors after anterior cruciate ligament surgery: A case study
Author
Eric Wade;Paige Lin;Sadra Hemmati;Susan Sigward
Author_Institution
Faculty of Mechanical, Aerospace, and Biomedical Engineering, University of Tennessee, Knoxville, USA
fYear
2015
Firstpage
6752
Lastpage
6755
Abstract
After surgical interventions such as anterior cruciate ligament reconstruction (ACLr), people exhibit altered gait mechanics due to joint impairments. Persistence of altered mechanics after resolution of impairments may be related to daily reinforcement of maladaptive behavior. Quantifying the contribution of such maladaptive motor strategies requires continuous monitoring of locomotor behaviors in the home setting. In this paper, we investigate an inertial sensor based approach to monitoring ambient activities. We evaluate the relative performance of our predictive algorithm on one control and one individual post-ACL reconstruction.
Keywords
"Decision trees","Accuracy","Surgery","Thigh","Accelerometers","Ligaments","Monitoring"
Publisher
ieee
Conference_Titel
Engineering in Medicine and Biology Society (EMBC), 2015 37th Annual International Conference of the IEEE
ISSN
1094-687X
Electronic_ISBN
1558-4615
Type
conf
DOI
10.1109/EMBC.2015.7319943
Filename
7319943
Link To Document