This study investigated the validity of the top-down approach of inverse dynamics analysis in fast and large rotational movements of the trunk about three orthogonal axes of the pelvis for nine male collegiate students. The maximum angles of the upper trunk relative to the pelvis were approximately 47°, 49°, 32°, and 55° for lateral bending, flexion, extension, and axial rotation, respectively, with maximum angular velocities of 209°/s, 201°/s, 145°/s, and 288°/s, respectively. The pelvic moments about the axes during the movements were determined using the top-down and bottom-up approaches of inverse dynamics and compared between the two approaches. Three body segment inertial parameter sets were estimated using anthropometric data sets (Ae et al., Biomechanism 11, 1992; De Leva, J Biomech, 1996; Dumas et al., J Biomech, 2007). The root-mean-square errors of the moments and the absolute errors of the peaks of the moments were generally smaller than 10 N·m. The results suggest that the pelvic moment in motions involving fast and large trunk movements can be determined with a certain level of validity using the top-down approach in which the trunk is modeled as two or three rigid-link segments.
Yoichi Iino and Takeji Kojima
Brock Laschowski, Naser Mehrabi and John McPhee
measurements and inverse dynamics analysis, respectively. Methods Paralympic Athlete A single wheelchair curler (sex: male, age: 39 y, total body mass: 87.9 kg) was recruited from the Canadian Paralympic Team. The athlete was a gold medalist at the 2014 Paralympic Games and 2013 World Wheelchair Curling
Steven T. McCaw, Jacob K. Gardner, Lindsay N. Stafford and Michael R. Torry
An inverse dynamic analysis and subsequent calculation of joint kinetic and energetic measures is widely used to study the mechanics of the lower extremity. Filtering the kinematic and kinetic data input to the inverse dynamics equations affects the calculated joint moment of force (JMF). Our purpose was to compare selected integral values of sagittal plane ankle, knee, and hip joint kinetics and energetics when filtered and unfiltered GRF data are input to inverse dynamics calculations. Six healthy, active, injury-free university student (5 female, 1 male) volunteers performed 10 two-legged landings. JMFs were calculated after two methods of data filtering. Unfiltered: marker data were filtered at 10 Hz, GRF data unfiltered. Filtered: both GRF and marker data filtered at 10 Hz. The filtering of the GRF data affected the shape of the knee and hip joint moment-time curves, and the ankle, knee and hip joint mechanical power-time curves. We concluded that although the contributions of individual joints to the support moment and to total energy absorption were not affected, the attenuation of high-frequency oscillations in both JMF and JMP time curves will influence interpretation of CNS strategies during landing.
Stefan Sebastian Tomescu, Ryan Bakker, Tyson A.C. Beach and Naveen Chandrashekar
dynamics analyses. Kristianslund et al 6 recommended filtering both marker position and force platform data with matched filter cutoffs, whereas Edwards et al 20 performed inverse dynamics analysis on the raw marker and force platform data, and subsequently smoothed the moments and joint reaction forces
Hiroshi Arakawa, Akinori Nagano, Dean C. Hay and Hiroaki Kanehisa
The current study aimed to investigate the effect of ankle restriction on the coordination of vertical jumping and discuss the influence of energy transfer through m. gastrocnemius on the multijoint movement. Eight participants performed two types of vertical jumps: a normal squat jump, and a squat jump with restricted ankle joint movement. Mechanical outputs were calculated using an inverse dynamics analysis. Custom-made shoes were used to restrict plantar flexion, resulting in significantly (P < .001) reduced maximum power and work at the ankle joint to below 2% and 3%, while maintaining natural range of motion at the hip and knee. Based on the comparison between the two types of jumps, we determined that the ankle restriction increased (P < .001) the power (827 ± 346 W vs. 1276 ± 326 W) and work (92 ± 34 J vs. 144 ± 36 J) at the knee joint. A large part of the enhanced output at the knee is assumed to be due to ankle restriction, which results in the nullification of energy transport via m. gastrocnemius; that is, reduced contribution of the energy transfer with ankle restriction appeared as augmentation at the knee joint.
Violaine Sevrez, Guillaume Rao, Eric Berton and Reinoud J. Bootsma
Five elite gymnasts performed giant circles on the high bar under different conditions of loading (without and with 6-kg loads attached to the shoulders, waist or ankles). Comparing the gymnasts’ kinematic pattern of movement with that of a triple-pendulum moving under the sole influence of nonmuscular forces revealed qualitative similarities, including the adoption of an arched position during the downswing and a piked position during the upswing. The structuring role of nonmuscular forces in the organization of movement was further reinforced by the results of an inverse dynamics analysis, assessing the contributions of gravitational, inertial and muscular components to the net joint torques. Adding loads at the level of the shoulders, waist or ankles systematically influenced movement kinematics and net joint torques. However, with the loads attached at the level of the shoulders or waist, the load-induced changes in gravitational and inertial torques provided the required increase in net joint torque, thereby allowing the muscular torques to remain unchanged. With the loads attached at the level of the ankles, this was no longer the case and the gymnasts increased the muscular torques at the shoulder and hip joints. Together, these results demonstrate that expert gymnasts skillfully exploit the operative nonmuscular forces, employing muscle force only in the capacity of complementary forces needed to perform the task.
Miriam Klous, Erich Müller and Hermann Schwameder
Limited data exists on knee biomechanics in alpine ski turns despite the high rate of injuries associated with this maneuver. The purpose of the current study was to compare knee joint loading between a carved and a skidded ski turn and between the inner and outer leg. Kinetic data were collected using Kistler mobile force plates. Kinematic data were collected with five synchronized, panning, tilting, and zooming cameras. Inertial properties of the segments were calculated using an extended version of the Yeadon model. Knee joint forces and moments were calculated using inverse dynamics analysis. The obtained results indicate that knee joint loading in carving is not consistently greater than knee joint loading in skidding. In addition, knee joint loading at the outer leg is not always greater than at the inner leg. Differentiation is required between forces and moments, the direction of the forces and moments, and the phase of the turn that is considered. Even though the authors believe that the analyzed turns are representative, results have to be interpreted with caution due to the small sample size.
Anthony C. Santago II, Meghan E. Vidt, Xiaotong Li, Christopher J. Tuohy, Gary G. Poehling, Michael T. Freehill and Katherine R. Saul
each moment direction 22 : +elevation plane, −elevation plane, +shoulder elevation, −shoulder elevation, internal rotation, external rotation . Average and peak required strength are calculated from output of the inverse dynamics analysis and the maximum percentage of strength used is calculated
Jeffrey C. Cowley, Steven T. McCaw, Kelly R. Laurson and Michael R. Torry
were calculated using an inverse dynamics analysis. Joint work was calculated as the integral of joint power, and the total work was calculated as the sum of ankle, knee, and hip work. Negative work was defined as the integral of joint power from the beginning to the end of the countermovement, and
Oladipo O. Eddo, Bryndan W. Lindsey, Shane V. Caswell, Matt Prebble and Nelson Cortes
using standard inverse dynamics analysis. 28 Joint kinematics were filtered at 8 Hz, and joint angles were measured in degrees. Mean and SD for gait speed, trunk, knee, and foot angles during stance were calculated. Gait Modification Ten trials were completed using real-time biofeedback with target