A method for estimating subject-specific body segment inertial parameters in human movement analysis

Chen, Sheng‐Chang; Hsieh, Han-Chang; Lu, Tung‐Wu; Tseng, C. H.

doi:10.1016/j.gaitpost.2011.03.004

Cited by 70 publications

(45 citation statements)

References 26 publications

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“…While interpolation is a common practice to extract additional information, it remains unclear whether such linear relationship derived from these four events could represent other events in the gait cycle. Third, the segment inertial parameters used in this study did not completely take into account the subject variability (Chen et al, 2011) even the segment length was subject specific. This could introduce uncertain errors in COM estimate.…”

Section: Discussionmentioning

confidence: 99%

Can sacral marker approximate center of mass during gait and slip-fall recovery among community-dwelling older adults?

Yang

Pai

2014

Journal of Biomechanics

107

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Falls are prevalent in older adults. Dynamic stability of body center of mass (COM) is critical for maintaining balance. A simple yet accurate tool to evaluate COM kinematics is essential to examine the COM stability. The purpose of this study was to determine the extent to which the COM position derived from body segmental analysis can be approximated by a single (sacral) marker during unperturbed (regular walking) and perturbed (gait-slip) gait. One hundred eighty seven older adults experienced an unexpected slip after approximately 10 regular walking trials. Two trials, the slip trial and the preceding regular walking trial, monitored with a motion capture system and force plates, were included in the present study. The COM positions were calculated by using the segmental analysis method wherein, the COM of all body segments was calculated to further estimate the body COM position. These body COM positions were then compared with those of the sacral marker placed at the second sacral vertebra for both trials. Results revealed that the COM positions were highly correlated with those of the sacrum’s over the time intervals investigated for both walking (coefficient of correlation R > 0.97) and slip (R > 0.90) trials. There were detectable kinematic difference between the COM and the sacral for both trials. Our results indicated that the sacral marker can be used as a simple approximation of body COM for regular walking, and to somewhat a lesser extent, upon a slip. The benefits from the simplicity appear to overweigh the limitations in accuracy.

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Section: Discussionmentioning

confidence: 99%

Can sacral marker approximate center of mass during gait and slip-fall recovery among community-dwelling older adults?

Yang

Pai

2014

Journal of Biomechanics

107

View full text Add to dashboard Cite

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“…The anthropometry of bodies can also be estimated on a subject-specific basis with dualenergy X-ray absorptiometry scans, magnetic resonance imaging (MRI), and 3D body scans (e.g., Refs. [46][47][48]). The dimensions of a subject's body segments can also be estimated from manual measurement or from markers by finding the distance between functional joint centers (e.g., Refs.…”

Section: Modeling Choicesmentioning

confidence: 99%

Is My Model Good Enough? Best Practices for Verification and Validation of Musculoskeletal Models and Simulations of Movement

Hicks

Uchida

Seth

et al. 2015

Journal of Biomechanical Engineering

554

455

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Computational modeling and simulation of neuromusculoskeletal (NMS) systems enables researchers and clinicians to study the complex dynamics underlying human and animal movement. NMS models use equations derived from physical laws and biology to help solve challenging real-world problems, from designing prosthetics that maximize running speed to developing exoskeletal devices that enable walking after a stroke. NMS modeling and simulation has proliferated in the biomechanics research community over the past 25 years, but the lack of verification and validation standards remains a major barrier to wider adoption and impact. The goal of this paper is to establish practical guidelines for verification and validation of NMS models and simulations that researchers, clinicians, reviewers, and others can adopt to evaluate the accuracy and credibility of modeling studies. In particular, we review a general process for verification and validation applied to NMS models and simulations, including careful formulation of a research question and methods, traditional verification and validation steps, and documentation and sharing of results for use and testing by other researchers. Modeling the NMS system and simulating its motion involves methods to represent neural control, musculoskeletal geometry, muscle-tendon dynamics, contact forces, and multibody dynamics. For each of these components, we review modeling choices and software verification guidelines; discuss variability, errors, uncertainty, and sensitivity relationships; and provide recommendations for verification and validation by comparing experimental data and testing robustness. We present a series of case studies to illustrate key principles. In closing, we discuss challenges the community must overcome to ensure that modeling and simulation are successfully used to solve the broad spectrum of problems that limit human mobility.

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“…24 With the measured GRF and kinematic data, inverse dynamics were used to calculate the intersegmental forces and moments at the lower limb joints. Inertial properties for each body segment were obtained using an optimization method, 25 with those determined using Dempster's coefficients as the initial guess. 26 The sagittal plane GRF was calculated as the resultant force vector of the vertical and anterior-posterior components of GRF, the frontal plane GRF was the resultant force vector of the vertical and medio-lateral components of GRF and the transverse plane GRF was the resultant force vector of the medio-lateral and anterior-posterior components of GRF.…”

Section: Instrumentation and Data Analysismentioning

confidence: 99%

Kinematic and Kinetic Adaptations in the Lower Extremities of Experienced Wearers During High-Heeled Gait

Chien

Liu

et al. 2014

Biomed. Eng. Appl. Basis Commun.

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High-heeled shoes are associated with falling, leading to injuries such as fracture and ankle sprain. The study aimed to investigate the kinematic and kinetic adaptations in the lower extremities resulting from habitual use of highheeled shoes. A total of 15 female experienced wearers and 15 matched controls walked with high-heeled shoes (7.3 cm) while kinematic and ground reaction force data were measured and used to calculate the joint angles and moments, as well as the temporal-distance parameters. Compared with inexperienced wearers, experienced wearers appeared to adopt a speci¯c control strategy to improve the stability of the support ankle and knee while preventing excessive loading at the knee and hip. Increased hip abduction during early stance phase and increased pelvis rotation toward the ipsilateral side at contralateral heel-strike appeared to contribute toward the reduced step width for a better adjustment of the medio-lateral motion of the body's center of mass in order to maintain stability. At the hip, increased abductor moments may help to increase the pelvis stability and prevent excessive loading at the knee, and reduced internal rotator moments may reduce the torsional loading at the hip. At the knee, reduced ranges of°exion-extension and adduction-abduction motions may increase its stability. At the ankle, increased external rotation angles, together with increased pronator and external rotator moments through increased ground reaction force, may enhance the ankle stability. The current results identi¯ed the changes in the kinematics and kinetics of the lower extremities in females after long-term use of high-heeled shoes, providing a basis for future development of training programs and design of new high-heeled shoes to help those who have higher risks of falling and injuries during high-heeled gait.

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A method for estimating subject-specific body segment inertial parameters in human movement analysis

Cited by 70 publications

References 26 publications

Can sacral marker approximate center of mass during gait and slip-fall recovery among community-dwelling older adults?

Can sacral marker approximate center of mass during gait and slip-fall recovery among community-dwelling older adults?

Is My Model Good Enough? Best Practices for Verification and Validation of Musculoskeletal Models and Simulations of Movement

Kinematic and Kinetic Adaptations in the Lower Extremities of Experienced Wearers During High-Heeled Gait

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