Measurement of body segment parameters using dual energy X-ray absorptiometry and three-dimensional geometry: An application in gait analysis

Lee, Mei Kay; Le, Ngoc Sang; Fang, Anthony; Koh, Michael

doi:10.1016/j.jbiomech.2008.10.036

Cited by 28 publications

(10 citation statements)

References 27 publications

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“…These systems, for example, use wearable force sensors to measure the ground reaction force for the estimation of foot dynamics and centre of mass displacement [1,15,16]. Even X-ray is used to measure the 3-dimensional body segment parameters for gait analysis [17]. Since in many applications it is desirable to monitor human body motion in various environments, some portable and low-cost systems are preferred.…”

Section: Introductionmentioning

confidence: 99%

Estimation of Spatial-Temporal Gait Parameters Using a Low-Cost Ultrasonic Motion Analysis System

Soh

Gunawan

et al. 2014

Sensors

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In this paper, a low-cost motion analysis system using a wireless ultrasonic sensor network is proposed and investigated. A methodology has been developed to extract spatial-temporal gait parameters including stride length, stride duration, stride velocity, stride cadence, and stride symmetry from 3D foot displacements estimated by the combination of spherical positioning technique and unscented Kalman filter. The performance of this system is validated against a camera-based system in the laboratory with 10 healthy volunteers. Numerical results show the feasibility of the proposed system with average error of 2.7% for all the estimated gait parameters. The influence of walking speed on the measurement accuracy of proposed system is also evaluated. Statistical analysis demonstrates its capability of being used as a gait assessment tool for some medical applications.

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Section: Introductionmentioning

confidence: 99%

Estimation of Spatial-Temporal Gait Parameters Using a Low-Cost Ultrasonic Motion Analysis System

Soh

Gunawan

et al. 2014

Sensors

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“…Particularly, these studies provided valuable insights on the relation between muscular asymmetry, fat infiltration and low back pain [7]. Most of the studies focusing on muscular investigation from MRI images, reported only 2D parameters such as cross-sectional area [9,12,19,27,29,30,33,36], and/or information on fat infiltration of muscles considered [5,7,9,17,19,29,30,38]. Muscular volume has been, however, reported for the quadriceps femoris components [2], pelvic and/or lower limb muscles [4,13,22].…”

Section: Introductionmentioning

confidence: 99%

Estimation of spinopelvic muscles’ volumes in young asymptomatic subjects: a quantitative analysis

et al. 2016

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“…Body segment parameters are computed from each segment's volume estimated from proportional and geometrics methods (Hanavan, 1964;Hatze, 1980;Yeadon, 1990) or from photogrammetry (Davidson et al, 2008;Jensen, 1978;Pillet et al, 2010;Young et al, 1983), radiography (Dumas et al, 2005;DuvalBeaupère and Robain, 1987;Zatsiorsky and Seluyanov, 1985), DXA (Lee et al, 2009), CT scans (Pearsall et al, 1996) and MRI (Bauer et al, 2007;Cheng et al, 2000). To determine body segment's mass and center of mass, the density for each segment is needed.…”

Section: Introductionmentioning

confidence: 99%

Determination of a new uniform thorax density representative of the living population from 3D external body shape modeling

Amabile

Choisne

Nérot

et al. 2016

Journal of Biomechanics

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Body segment parameters (BSP) for each body׳s segment are needed for biomechanical analysis. To provide population-specific BSP, precise estimation of body׳s segments volume and density are needed. Widely used uniform densities, provided by cadavers׳ studies, did not consider the air present in the lungs when determining the thorax density. The purpose of this study was to propose a new uniform thorax density representative of the living population from 3D external body shape modeling. Bi-planar X-ray radiographies were acquired on 58 participants allowing 3D reconstructions of the spine, rib cage and human body shape. Three methods of computing the thorax mass were compared for 48 subjects: (1) the Dempster Uniform Density Method, currently in use for BSPs calculation, using Dempster density data, (2) the Personalized Method using full-description of the thorax based on 3D reconstruction of the rib cage and spine and (3) the Improved Uniform Density Method using a uniform thorax density resulting from the Personalized Method. For 10 participants, comparison was made between the body mass obtained from a force-plate and the body mass computed with each of the three methods. The Dempster Uniform Density Method presented a mean error of 4.8% in the total body mass compared to the force-plate vs 0.2% for the Personalized Method and 0.4% for the Improved Uniform Density Method. The adjusted thorax density found from the 3D reconstruction was 0.74g/cm(3) for men and 0.73g/cm(3) for women instead of the one provided by Dempster (0.92g/cm(3)), leading to a better estimate of the thorax mass and body mass.

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Measurement of body segment parameters using dual energy X-ray absorptiometry and three-dimensional geometry: An application in gait analysis

Cited by 28 publications

References 27 publications

Estimation of Spatial-Temporal Gait Parameters Using a Low-Cost Ultrasonic Motion Analysis System

Estimation of Spatial-Temporal Gait Parameters Using a Low-Cost Ultrasonic Motion Analysis System

Estimation of spinopelvic muscles’ volumes in young asymptomatic subjects: a quantitative analysis

Determination of a new uniform thorax density representative of the living population from 3D external body shape modeling

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