Abstract
Quantification of segment-inertial uniqueness can provide a relevant foundation for motion analysis, biomechanical modeling and human motor skill optimization of both normal and amputated athletes. It is known that previous studies focused on quantifying Body Segment Inertial Parameters (BSIP) of non-amputated people in order to establish regression equations for calculating BSIPs. Until now, no anthropometrical study existed on quantifying BSIPs such as mass and center of mass (COM) of both non-amputated segment (NAS) and partially-amputated segment (PAS) of amputees. This study aims to fill the gap. A quantification method derived from Damavandi approach was applied to determine the mass and COM of PAS as well as full-body COM. For validating the reliability of this method, the calculated values were compared to the values measured by balance board test. Further, two anthropometrical approaches (i.e. Zheng and Zatsiorsky) for normal subjects were tested for their validity to estimatfe the mass and COM of NASs of amputees. The results reveal that Damavandi approach can also be used for reliable quantifying of mass and COM of PAS and Zatsiorsky’s approach is more reliable to quantify NAS masses and full-body COM of amputees, therefore, Damavandi approach and Zatsiorsky’s regression model are more suitable for motion analysis, biomechanical modeling and motor skill optimization of amputees.
Highlights
Body Segment Inertial Parameters (BSIPs) are essential in biomechanical analysis of athletic performance.[1,2,3,4,5]. They are unavoidable in biomechanical modeling and simulation, which are wildly applied in various simulations and performance optimization of human motor skills.[6,7,8,9,10]
The mass and COM location of partially-amputated segment (PAS) were measured by force platform and balance board test, while the values of non-amputated segment (NAS) were obtained by regression equations established from the previous anthropometrical studies.[15,26,27]
We suggest that an individual quantification of mass and COM of PAS is needed in order to increase the accuracy in motion analysis and biomechanical modeling
Summary
Body Segment Inertial Parameters (BSIPs) are essential in biomechanical analysis of athletic performance.[1,2,3,4,5] They are unavoidable in biomechanical modeling and simulation, which are wildly applied in various simulations and performance optimization of human motor skills.[6,7,8,9,10] They play a vital role in studying humanequipment interactions for sport equipment design, ergonomics, rehabilitation medicine and orthopedic treatment.[11,12,13] In addition, the application of BSIPs is heavily involved in the biomechanical analysis of artificial limbs and their construction, the design of sport wheelchair and sports prosthesis.[14,15]The BSIP can be obtained by direct measurement or indirect calculation. Body Segment Inertial Parameters (BSIPs) are essential in biomechanical analysis of athletic performance.[1,2,3,4,5] They are unavoidable in biomechanical modeling and simulation, which are wildly applied in various simulations and performance optimization of human motor skills.[6,7,8,9,10] They play a vital role in studying humanequipment interactions for sport equipment design, ergonomics, rehabilitation medicine and orthopedic treatment.[11,12,13] In addition, the application of BSIPs is heavily involved in the biomechanical analysis of artificial limbs and their construction, the design of sport wheelchair and sports prosthesis.[14,15]. When the regression model is applied to the amputees, the validity of these methods would be questionable
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