title: A prosthesis-specific multi-link segment model of lower-limb amputee sprinting.
abstract: Lower-limb amputees commonly utilize non-articulating energy storage and return (ESAR) prostheses for high impact activities such as sprinting. Despite these prostheses lacking an articulating ankle joint, amputee gait analysis conventionally features a two-link segment model of the prosthetic foot. This paper investigated the effects of the selected link segment model׳s marker-set and geometry on a unilateral amputee sprinter׳s calculated lower-limb kinematics, kinetics and energetics. A total of five lower-limb models of the Ottobock®1E90 Sprinter were developed, including two conventional shank-foot models that each used a different version of the Plug-in-Gait (PiG) marker-set to test the effect of prosthesis ankle marker location. Two Hybrid prosthesis-specific models were then developed, also using the PiG marker-sets, with the anatomical shank and foot replaced by prosthesis-specific geometry separated into two segments. Finally, a Multi-link segment (MLS) model was developed, consisting of six segments for the prosthesis as defined by a custom marker-set. All full-body musculoskeletal models were tested using four trials of experimental marker trajectories within OpenSim 3.2 (Stanford, California, USA) to find the affected and unaffected hip, knee and ankle kinematics, kinetics and energetics. The geometry of the selected lower-limb prosthesis model was found to significantly affect all variables on the affected leg (p < 0.05), and the marker-set also significantly affected all variables on the affected leg, and none of the unaffected leg variables. The results indicate that the omission of prosthesis-specific spatial, inertial and elastic properties from full-body models significantly affects the calculated amputee gait characteristics, and we therefore recommend the implementation of a MLS model.
authors.affiliation: Graduate School of Biomedical Engineering, University of New South Wales, Sydney, NSW 2052, Australia.
authors.forename: Stacey M
authors.initials: SM
authors.lastname: Rigney
authors.affiliation: School of Mechanical and Manufacturing Engineering, University of New South Wales, Sydney, NSW 2052, Australia.
authors.forename: Anne
authors.initials: A
authors.lastname: Simmons
authors.affiliation: Graduate School of Biomedical Engineering, University of New South Wales, Sydney, NSW 2052, Australia. Electronic address: lauren.kark@unsw.edu.au.
authors.forename: Lauren
authors.initials: L
authors.lastname: Kark
mesh_terms: D000293:Adolescent; D000674:Amputees; D001696:Biomechanical Phenomena; D005260:Female; D005684:Gait; D006801:Humans; D007595:Joint Prosthesis; D035002:Lower Extremity / Q000502:physiology*; D055595:Mechanical Phenomena; D011474:Prosthesis Design; D019919:Prosthesis Implantation
keywords: Energy storage and return; Gait analysis; Inverse dynamics; Joint kinematics; Motion capture