Methods for Measurement of Moment of Segmental Inertia Using a Dynamometer

Abstract: Moments of inertia of limb segments are essential to calculate parameters related to the segmental rota-tion. To analyze the human motion accurately and specifically, moments of inertia obtained from the individual arerequired. In this study, a simple method to determine a subject-specific moment of segmental inertia using a dyna-mometer is introduced. In order to evaluate the method, one male participated to test for his forearm plus hand ona commercial dynamometer. Three passive speeds, i.e. 240, 270, and 300 o /s, were chosen to confirm whether themoment of inertia values at each speed approach to a fixed value. The same procedure was repeated on the day afterto evaluate whether the method is reproducible. As the results, there were no significant differences among thespeeds and between the days. The value of the moment of the forearm inertia was 0.216 kg · m 2 that is apparentlyhigher compared to values by previous models. Nonetheless, it seems to be acceptable based on our body mass indexanalysis using reported subject height and mass in each previous study. According to our results, the developedmethod could be useful to determine the segmental moment of inertia of an individual, showing no significant dif-ferences among the speeds and between the days. Thus, we believe that our results are reliable according to twoappropriate evaluation procedures. This finding would be helpful to calculate segmental rotation related parametersof an individual.Key words: Forearm, forward dynamics, inverse dynamics

[1]  J. G. Andrews,et al.  Methods for investigating the sensitivity of joint resultants to body segment parameter variations. , 1996, Journal of biomechanics.

[2]  T. Nichols,et al.  The contributions of muscles and reflexes to the regulation of joint and limb mechanics. , 2002, Clinical orthopaedics and related research.

[3]  P. de Leva Adjustments to Zatsiorsky-Seluyanov's segment inertia parameters. , 1996, Journal of biomechanics.

[4]  John H Challis,et al.  Changes in segmental inertial properties with age. , 2008, Journal of biomechanics.

[5]  W. T. Dempster,et al.  SPACE REQUIREMENTS OF THE SEATED OPERATOR, GEOMETRICAL, KINEMATIC, AND MECHANICAL ASPECTS OF THE BODY WITH SPECIAL REFERENCE TO THE LIMBS , 1955 .

[6]  Thomas M Best,et al.  Simulation of biceps femoris musculotendon mechanics during the swing phase of sprinting. , 2005, Medicine and science in sports and exercise.

[7]  Determination of the moment of inertia of limb segments by a simple method. , 1986, Journal of biomechanics.

[8]  D. Thelen,et al.  Neuromusculoskeletal Models Provide Insights into the Mechanisms and Rehabilitation of Hamstring Strains , 2006, Exercise and sport sciences reviews.

[9]  L R Young,et al.  The relaxed oscillation technique for the determination of the moment of inertia of limb segments. , 1976, Journal of biomechanics.

[10]  H. Negahban,et al.  The Eccentric Torque Production Capacity of the Ankle, Knee, and Hip Muscle Groups in Patients with Unilateral Chronic Ankle Instability , 2013, Asian journal of sports medicine.

[11]  X L Hu,et al.  Incorporating ultrasound-measured musculotendon parameters to subject-specific EMG-driven model to simulate voluntary elbow flexion for persons after stroke. , 2009, Clinical biomechanics.

[12]  Jongsang Son,et al.  Development and evaluation of estimation model of ankle joint moment from optimization of muscle parameters , 2010 .

[13]  D. Lloyd,et al.  An EMG-driven musculoskeletal model to estimate muscle forces and knee joint moments in vivo. , 2003, Journal of biomechanics.

[14]  Junghoon Kwon,et al.  Nonlinear regression equations for segmental mass-inertial characteristics of Korean adults estimated using three-dimensional range scan data. , 2011, Applied ergonomics.

[15]  David G. Lloyd,et al.  Individual muscle contributions to the swing phase of gait: An EMG-based forward dynamics modelling approach , 2007, Simul. Model. Pract. Theory.

[16]  Zhihong Mao,et al.  Segment inertial parameters of Korean adults estimated from three-dimensional body laser scan data , 2011 .

[17]  N. B. Jones,et al.  Modelling of knee joint muscles during the swing phase of gait--a forward dynamics approach using MATLAB/Simulink , 2003, Simul. Model. Pract. Theory.

[18]  V. Baltzopoulos,et al.  The effects of antagonist moment on the resultant knee joint moment during isokinetic testing of the knee extensors , 1997, European Journal of Applied Physiology and Occupational Physiology.

[19]  Arthur F T Mak,et al.  Feasibility of using EMG driven neuromusculoskeletal model for prediction of dynamic movement of the elbow. , 2005, Journal of electromyography and kinesiology : official journal of the International Society of Electrophysiological Kinesiology.