title: Predicting daily gait behaviors after anterior cruciate ligament surgery: A case study.
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.
authors.forename: Eric
authors.initials: E
authors.lastname: Wade
authors.forename: Paige
authors.initials: P
authors.lastname: Lin
authors.forename: Sadra
authors.initials: S
authors.lastname: Hemmati
authors.forename: Susan
authors.initials: S
authors.lastname: Sigward
mesh_terms: D061725:Accelerometry; D000328:Adult; D000465:Algorithms; D016118:Anterior Cruciate Ligament / Q000601:surgery*; D059549:Anterior Cruciate Ligament Reconstruction / Q000379:methods*; D016022:Case-Control Studies; D003430:Cross-Sectional Studies; D003663:Decision Trees; D005260:Female; D005684:Gait / Q000502:physiology*; D006801:Humans; D008875:Middle Aged; D018670:Monitoring, Ambulatory / Q000379:methods; D009068:Movement; D012815:Signal Processing, Computer-Assisted