title: Body segment inertial parameter estimation for the general population of older adults.
abstract: The practical determination of accurate body segment inertial parameters for the general older adult population remains a problem, especially in estimating these parameters for women and accounting for variations in body type. A method is presented for determining the mass and center of mass location of the body segments of individuals within the general population of older adults. Effects of sex and body type on older adult mass distribution are accounted for using 32 easily obtainable body measurements. The method is based on existing results from different data sources and employs a combination of validated estimation approaches, including: body mass and segment length proportions, linear and nonlinear regression equations, and a mathematical model of the trunk. The method was applied to a validation sample of healthy, community-dwelling older adults (29 men, 50 women). Predicted body mass was 96.7+/-4.8% and 95.7+/-3.7% of measured body mass in the men and women, respectively. The estimates of body segment mass and trunk center of mass location for the sample population approximate those reported in the literature, supporting the validity of the described method. By producing practical, subject-specific estimates of body segment inertial parameters, the method should allow more accurate biomechanical analyses of the older adult population.
authors.affiliation: Department of Physical Therapy (MC 898), University of Illinois at Chicago, 1919 West Taylor Street, 4th Floor, Chicago, IL 60612, USA. mpavol@uic.edu
authors.forename: Michael J
authors.initials: MJ
authors.lastname: Pavol
authors.forename: Tammy M
authors.initials: TM
authors.lastname: Owings
authors.forename: Mark D
authors.initials: MD
authors.lastname: Grabiner
mesh_terms: D000367:Age Factors; D000368:Aged; D001824:Body Constitution; D015992:Body Mass Index; D001837:Body Weights and Measures / Q000379:methods* / Q000592:standards; D005260:Female; D006801:Humans; D008297:Male; D008954:Models, Biological; D012737:Sex Factors