title: Investigation of Timing to Switch Control Mode in Powered Knee Prostheses during Task Transitions.
abstract: Current powered prosthetic legs require switching control modes according to the task the user is performing (e.g. level-ground walking, stair climbing, walking on slopes, etc.). To allow prosthesis users safely and seamlessly transition between tasks, it is critical to determine when to switch the prosthesis control mode during task transitions. Our previous study defined critical timings for different types of task transitions in ambulation; however, it is unknown whether it is the unique timing that allows safe and seamless transitions. The goals of this study were to (1) systematically investigate the effects of mode switch timing on the prosthesis user's performance in task transitions, and (2) identify appropriate timing to switch the prosthesis control mode so that the users can seamlessly transition between different locomotion tasks. Five able-bodied (AB) and two transfemoral (TF) amputee subjects were tested as they wore a powered knee prosthesis. The prosthesis control mode was switched manually at various times while the subjects performed different types of task transitions. The subjects' task transition performances were evaluated by their walking balance and success in performing seamless task transitions. The results demonstrated that there existed a time window within which switching the prosthesis control mode neither interrupted the subjects' task transitions nor disturbed their walking balance. Therefore, the results suggested the control mode switching of a lower limb prosthesis can be triggered within an appropriate time window instead of a specific timing or an individual phase. In addition, a generalized criterion to determine the appropriate mode switch timing was proposed. The outcomes of this study could provide important guidance for future designs of neurally controlled powered knee prostheses that are safe and reliable to use.
authors.affiliation: Joint Department of Biomedical Engineering, North Carolina State University and University of North Carolina at Chapel Hill, Raleigh, North Carolina, United States of America.
authors.forename: Fan
authors.initials: F
authors.lastname: Zhang
authors.affiliation: Joint Department of Biomedical Engineering, North Carolina State University and University of North Carolina at Chapel Hill, Raleigh, North Carolina, United States of America.
authors.forename: Ming
authors.initials: M
authors.lastname: Liu
authors.affiliation: Joint Department of Biomedical Engineering, North Carolina State University and University of North Carolina at Chapel Hill, Raleigh, North Carolina, United States of America.
authors.forename: He
authors.initials: H
authors.lastname: Huang
mesh_terms: D000328:Adult; D000465:Algorithms; D000674:Amputees; D001186:Artificial Limbs; D004576:Electromyography; D005260:Female; D005684:Gait; D006801:Humans; D007720:Knee Prosthesis; D008297:Male; D008875:Middle Aged; D004856:Postural Balance; D011474:Prosthesis Design; D012815:Signal Processing, Computer-Assisted; D014584:User-Computer Interface; D016138:Walking; D055815:Young Adult