title: Using mass distribution information to model the human thigh for body segment parameter estimation.
abstract: Accurate estimations of body segment inertial parameters (BSPs) are required to calculate the kinetics of motion. The purpose of this study was to develop a geometric model of the human thigh segment based on mass distribution properties determined from dual energy x ray absorptiometry (DEXA). One hundred subjects from four populations underwent a DEXA scan and anthropometric measurements were taken. The mass distribution properties of the thigh segment were determined for 20 subjects, a geometric model was developed, and the model was applied to the remaining 80 subjects. The model was validated by comparing to benchmark DEXA measurements. Four other popular models in the literature were also evaluated in the same manner No one set of predictors performed best for a particular group or BSP, however modeling the mass distribution properties of the segment allows the assumption of constant density while still accurately representing the inertial properties of the segment and provides promise for future development of BSP models.
authors.affiliation: Department of Kinesiology, University of Waterloo, ON, Canada. durkinjl@healthy.uwaterloo.ca
authors.forename: Jennifer L
authors.initials: JL
authors.lastname: Durkin
authors.forename: James J
authors.initials: JJ
authors.lastname: Dowling
authors.forename: Laura
authors.initials: L
authors.lastname: Scholtes
mesh_terms: D015502:Absorptiometry, Photon / Q000379:methods* / Q000706:statistics & numerical data; D000328:Adult; D017677:Age Distribution; D000368:Aged; D000375:Aging / Q000502:physiology; D000465:Algorithms; D001824:Body Constitution / Q000502:physiology*; D002170:Canada / Q000453:epidemiology; D003198:Computer Simulation; D006801:Humans; D008297:Male; D008875:Middle Aged; D008954:Models, Biological; D011287:Prejudice; D011857:Radiographic Image Interpretation, Computer-Assisted / Q000379:methods*; D012016:Reference Values; D013848:Thigh / Q000000981:diagnostic imaging* / Q000502:physiology*