Physiological Measurement · 2014 · 23 citations · 26 references
MedicineOrthopaedic SurgeryOrthopedic SurgeryMovement AnalysisOrthopedic BiomechanicsPhysiatryBiomechanical AnalysisGait AnalysisGait AssessmentGait BiomechanicsGait EvaluationAccelerometer SensorsCycle TimeGait Cycle AnalysisSensor-based Gait MonitoringTemporal Gait ParametersTemporal Gait SymmetryTreadmill Gait AnalysisWearable Sensor-based Gait Assessment
Measuring gait asymmetry is an important feature when characterizing functional imbalance between limbs. This could be due to pathologies, such as osteoarthritis, stroke, or associated with the effects of surgeries such as hip arthroplasty. Generally, the study of asymmetry or imbalance has required the use of a gait lab or force plates, which could be expensive and difficult to use in home settings. This work validates the use of a light weight ear sensor (7.4 g) with an instrumented treadmill for 64 subjects (age (60.04 (15.36)) including healthy subjects (14) as well as subjects who had been treated for hip (17), knee-replacement surgery (21) and knee osteoarthritis (12). Subjects performed treadmill walking at several speeds on flat surfaces, inclines and declines. Accelerometer data from the ear sensor were segmented into consecutive steps and temporal features were extracted. The measures of gait cycle time and step-period asymmetry obtained from the ear sensor matched well those of the treadmill for flat surfaces, inclines and declines. The key implication of the study is that the proposed method could replace expensive equipment for monitoring temporal gait features in clinics as well as free-living environments, which is important for monitoring rehabilitation after surgery and the progress of diseases affecting limb imbalance.
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Gait characteristics of patients with knee osteoarthritis
Kenton R. Kaufman, Christine A. Hughes, B.F. Morrey et al. · Journal of Biomechanics · 2001 · 675 citations
Assessment of Walking Features From Foot Inertial Sensing
A.M. Sabatini, C. Martelloni, S. Scapellato et al. · IEEE Transactions on Biomedical Engineering · 2005 · 642 citations · Full text