2003 · 12 citations · 0 references
EducationKinesiologyRehabilitation MedicineMotor ControlMovement AnalysisRehabilitationBiomechanical AnalysisGait AnalysisJoint Motion AnalysisMusculoskeletal System ModelingRehabilitation BiomechanicsShoulder BiomechanicsAutoregressive ModelsControl FeedbackGyroscope SensorsHuman Movement AnalysisPart Movement AnalysisPelvis MotionRelative Power OutputTime Series Data Collection
The sequential movements of the head, shoulder and pelvis cooperate and influence each other while walking. It is very important to evaluate the bio-feedback control relationship of each part movement in rehabilitation medicine. In this study, three mini gyro sensors, which were personal computer-assisted, were placed on the top of the head, the trunk at the height of shoulder and pelvis respectively. The time series data of three angles (roll, pitch, yaw) on each part were measured while subjects were walking on the treadmill. This study presents a new approach utilizing multivariate autoregressive (AR) modeling for fee-back system analysis. The relative power contribution (RPC) from three variables, i.e., the head, shoulder and pelvis, shows their dynamical relationship.