High resolution determination of body segment inertial parameters and their variation due to soft tissue motion

被引:7
|
作者
Pain, MTG [1 ]
Challis, JH
机构
[1] Loughborough Univ Technol, Dept Phys Educ Sports Sci & Recreat Mgmt, Loughborough LE11 3TU, Leics, England
[2] Penn State Univ, Dept Kinesiol, Biomech Lab, University Pk, PA 16802 USA
关键词
segmental inertias; wobbling mass;
D O I
10.1123/jab.17.4.326
中图分类号
R318 [生物医学工程];
学科分类号
0831 ;
摘要
This study had two purposes: to evaluate a new method for measuring segmental dimensions for determining body segment inertial parameters (BSIP), and to evaluate the changes in mass distribution within a limb as a consequence of muscular contraction. BSIP were calculated by obtaining surface data points of the body under investigation using a sonic digitizer, interpolating them into a regular grid, and then using Green's theorem which relates surface to volume integrals. Four skilled operators measured a test object; the error was approximately 2.5%, and repeatability was 1.4% (coefficient of variation) in the determination of BSIP. Six operators took repeat measures on human lower legs; coefficients of variation were typically around 5%, and 3% for the more skilled operators. Location of the center of mass of the lower leg was found to move up 1.7 cm proximally when the triceps surae. muscles went from a relaxed state to causing plantar flexion. The force during an impact associated with such motion of the soft tissue of the lower leg was estimated to be up to 300 N. In summary, a new repeatable and accurate method for determining BSIP has been developed, and has been used to evaluate body segment mass redistribution due to muscular contraction.
引用
收藏
页码:326 / 334
页数:9
相关论文
共 50 条
  • [31] Determination of high-resolution digital voltmeter input parameters
    Lenicek, Ivan
    Ilic, Damir
    Malaric, Roman
    IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2008, 57 (08) : 1685 - 1688
  • [32] Determination of Reasonable Geometrical Distribution of Markers for Accurate Motion Parameters of Rigid Body
    Tan Qimeng
    Gao Sheng
    Li Delun
    Wang Kang
    Lu Naiguang
    PROCEEDINGS OF 2013 IEEE 11TH INTERNATIONAL CONFERENCE ON ELECTRONIC MEASUREMENT & INSTRUMENTS (ICEMI), 2013, : 1033 - 1037
  • [33] Study of Variation in Human Upper Body Parameters and Motion for Use in Robotics Based Simulation
    Lura, Derek J.
    Carey, Stephanie L.
    Dubey, Rajiv V.
    2013 35TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC), 2013, : 6937 - 6940
  • [35] A simplified variation of parameters solution for the motion of an arbitrarily-torqued asymmetric rigid body
    Mitchell, JW
    Richardson, DL
    ASTRODYNAMICS 1999, PTS 1-3, 2000, 103 : 2489 - 2512
  • [36] A Dual X-Ray Absorptiometry Validated Geometric Model for the Calculation of Body Segment Inertial Parameters of Young Females
    Winter, Samantha L.
    Forrest, Sarah M.
    Wallace, Joanne
    Challis, John H.
    JOURNAL OF APPLIED BIOMECHANICS, 2018, 34 (02) : 89 - 95
  • [37] DETERMINATION OF BODY SEGMENT PARAMETERS AND THEIR EFFECT IN THE CALCULATION OF THE POSITION OF CENTER OF PRESSURE DURING POSTURAL SWAY
    KOOZEKANANI, SH
    DUERK, J
    IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, 1985, 32 (01) : 67 - 69
  • [38] HIGH-RESOLUTION ULTRASOUND CHARACTERIZATION OF SOFT-TISSUE MASSES IN CHILDREN
    GLASIER, CM
    SEIBERT, JJ
    WILLIAMSON, SL
    SEIBERT, RW
    CORBITT, SL
    RODGERS, AB
    LANGE, TA
    PEDIATRIC RADIOLOGY, 1987, 17 (03) : 233 - 237
  • [39] A high-resolution model for soft tissue deformation based on point primitives
    Zou, Yanni
    Liu, Peter X.
    COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE, 2017, 148 : 113 - 121
  • [40] High-resolution infrared technology for soft-tissue injury detection
    Bales, M
    IEEE ENGINEERING IN MEDICINE AND BIOLOGY MAGAZINE, 1998, 17 (04): : 56 - 59