scholarly journals Differences in Geriatric Anthropometric Data Between DXA-Based Subject-Specific Estimates and Non-Age-Specific Traditional Regression Models

2011 ◽  
Vol 27 (3) ◽  
pp. 197-206 ◽  
Author(s):  
April J. Chambers ◽  
Alison L. Sukits ◽  
Jean L. McCrory ◽  
Rakié Cham
Keyword(s):  
Regression Models ◽  
Whole Body ◽  
Radius Of Gyration ◽  
Specific Method ◽  
Body Segment ◽  
Anthropometric Data ◽  
Subject Specific ◽  
And Gender ◽  
Body Segment Parameters ◽  
The Impact

Age, obesity, and gender can have a significant impact on the anthropometrics of adults aged 65 and older. The aim of this study was to investigate differences in body segment parameters derived using two methods: (1) a dual-energy x-ray absorptiometry (DXA) subject-specific method (Chambers et al., 2010) and (2) traditional regression models (de Leva, 1996). The impact of aging, gender, and obesity on the potential differences between these methods was examined. Eighty-three healthy older adults were recruited for participation. Participants underwent a whole-body DXA scan (Hologic QDR 1000/W). Mass, length, center of mass, and radius of gyration were determined for each segment. In addition, traditional regressions were used to estimate these parameters (de Leva, 1996). A mixed linear regression model was performed (α = 0.05). Method type was significant in every variable of interest except forearm segment mass. The obesity and gender differences that we observed translate into differences associated with using traditional regressions to predict anthropometric variables in an aging population. Our data point to a need to consider age, obesity, and gender when utilizing anthropometric data sets and to develop regression models that accurately predict body segment parameters in the geriatric population, considering gender and obesity.

scholarly journals Subject-specific body segment parameter estimation using 3D photogrammetry with multiple cameras

2014 ◽  
Author(s):  
Kathrin E Peyer ◽  
Mark Morris ◽  
William I Sellers
Keyword(s):  
Regression Models ◽  
Point Cloud ◽  
The Body ◽  
Reconstruction Algorithms ◽  
Multiple Cameras ◽  
Body Segment ◽  
Body Segments ◽  
Subject Specific ◽  
3D Photogrammetry ◽  
Body Segment Parameters

Inertial properties of body segments, such as mass, centre of mass or moments of inertia, are important parameters when studying movements of the human body. These quantities are, however, not directly measurable. Current approaches include using regression models which have limited accuracy; geometric models with lengthy measuring procedures; or acquiring and post-processing MRI scans of participants. We propose a geometric methodology based on 3D photogrammetry using multiple cameras to provide subject-specific body segment parameters while minimizing the interaction time with the participants. A low-cost body scanner was built using multiple cameras and 3D point cloud data generated using structure from motion photogrammetric reconstruction algorithms. The point cloud was manually separated into body segments and convex hulling applied to each segment to produce the required geometric outlines. The accuracy of the method can be adjusted by choosing the number of subdivisions of the body segments. The body segment parameters of six participants (four male and two female) are presented using the proposed method. The multi-camera photogrammetric approach is expected to be particularly suited for studies including populations for which regression models are not available in literature and where other geometric techniques or MRI scanning are not applicable due to time or ethical constraints.

Torso Segment Parameter Prediction in Working Adults

2018 ◽  
Vol 62 (1) ◽  
pp. 1257-1261
Author(s):  
Zachary Merrill ◽  
Subashan Perera ◽  
Rakié Cham
Keyword(s):  
Statistical Models ◽  
Injury Risk ◽  
Center Of Mass ◽  
Whole Body ◽  
Radius Of Gyration ◽  
Working Adults ◽  
Biomechanical Models ◽  
Scan Data ◽  
Body Segment Parameters ◽  
The Impact

Body segment parameters (BSPs) such as segment mass, center of mass, and radius of gyration are used as inputs in static and dynamic ergonomic and biomechanical models used to predict joint and muscle forces, and related risks of musculoskeletal injury. Because these models are sensitive to BSP values, accurate and representative parameters are necessary for injury risk prediction. While previous studies have determined segment parameters in the general population, as well as the impact of age and obesity levels on these parameters, estimated errors in the prediction of BSPs can be as large as 40% (Durkin, 2003). Thus, more precise values are required for attempting to predict injury risk in individuals. This study aims to provide statistical models for predicting torso segment parameters in working adults using whole body dual energy x-ray absorptiometry (DXA) scan data along with a set of anthropometric measurements. The statistical models were developed on a training subset of the study population, and validated on a testing subset. When comparing the model predictions to the actual BSPs of the testing subset, the predictions were, on average, within 5% of the calculated parameters, while previously developed predictions (de Leva, 1996) had average errors of up to 30%, indicating that the new statistical models greatly increase the accuracy in predicting BSPs.

scholarly journals Subject-specific body segment parameter estimation using 3D photogrammetry with multiple cameras

2014 ◽  
Author(s):  
Kathrin E Peyer ◽  
Mark Morris ◽  
William I Sellers
Keyword(s):  
Regression Models ◽  
Point Cloud ◽  
The Body ◽  
Reconstruction Algorithms ◽  
Multiple Cameras ◽  
Body Segment ◽  
Body Segments ◽  
Subject Specific ◽  
3D Photogrammetry ◽  
Body Segment Parameters

Inertial properties of body segments, such as mass, centre of mass or moments of inertia, are important parameters when studying movements of the human body. These quantities are, however, not directly measurable. Current approaches include using regression models which have limited accuracy; geometric models with lengthy measuring procedures; or acquiring and post-processing MRI scans of participants. We propose a geometric methodology based on 3D photogrammetry using multiple cameras to provide subject-specific body segment parameters while minimizing the interaction time with the participants. A low-cost body scanner was built using multiple cameras and 3D point cloud data generated using structure from motion photogrammetric reconstruction algorithms. The point cloud was manually separated into body segments and convex hulling applied to each segment to produce the required geometric outlines. The accuracy of the method can be adjusted by choosing the number of subdivisions of the body segments. The body segment parameters of six participants (four male and two female) are presented using the proposed method. The multi-camera photogrammetric approach is expected to be particularly suited for studies including populations for which regression models are not available in literature and where other geometric techniques or MRI scanning are not applicable due to time or ethical constraints.

Impact of Age and Body Mass Index on Anthropometry in Working Adults

2017 ◽  
Vol 61 (1) ◽  
pp. 1341-1345 ◽  
Author(s):  
Zachary Merrill ◽  
April Chambers ◽  
Rakié Cham
Keyword(s):  
Body Mass Index ◽  
Body Mass ◽  
Center Of Mass ◽  
Biomechanical Model ◽  
Whole Body ◽  
Working Adults ◽  
Biomechanical Models ◽  
Scan Data ◽  
Body Segment Parameters ◽  
The Impact

Body segment parameters (BSPs) such as segment mass and center of mass are used as inputs in ergonomic design and biomechanical models to predict the risk of musculoskeletal injuries. These models have been shown to be sensitive to the BSP values used as inputs, demonstrating the necessity of using accurate and representative parameters. This study aims to provide accurate BSPs by quantifying the impact of age and body mass index on torso and thigh mass and center of mass in working adults using whole body dual energy x-ray absorptiometry (DXA) scan data. The results showed significant effects of gender, age, and body mass index (BMI) on torso and thigh mass and center of mass, as well as significant effects of age and BMI within genders, indicating that age, gender, and BMI need to be taken into account when predicting BSPs in order to calculate representative ergonomic and biomechanical model outputs.

scholarly journals The Impact of the Community Built Environment on the Walking Times of Residents in a Community in the Downtown Area of Fuzhou

2019 ◽  
Vol 11 (3) ◽  
pp. 691
Author(s):  
Lizhen Zhao ◽  
Zhenjiang Shen ◽  
Yanji Zhang ◽  
Yan Ma
Keyword(s):  
Built Environment ◽  
Regression Models ◽  
Education Level ◽  
Linear Regression Models ◽  
Downtown Area ◽  
Point Of Interest ◽  
Independent Variable ◽  
And Gender ◽  
The Impact ◽  
Walking Time

By means of on-site and network investigation, we collected data relevant to residents of communities, point of interest (POI) data, and land-use data of Fuzhou. We set traffic walking time and leisure walking time as an independent variable, built environment as dependent variable, and gender, age, education level and income level as control variables. Six linear regression models were established using Statistical Product and Service Solutions (SPSS). The results showed that in the 5D (i.e., Density, Diversity, Design, Destination and Distance) elements of the built environment, the density was negatively correlated with the traffic walking time, whereas other elements were positively correlated with the walking time, but the degree of influence was different.

scholarly journals The effect of obesity and gender on body segment parameters in older adults

2010 ◽  
Vol 25 (2) ◽  
pp. 131-136 ◽  
Author(s):  
April J. Chambers ◽  
Alison L. Sukits ◽  
Jean L. McCrory ◽  
Rakié Cham
Keyword(s):  
Older Adults ◽  
Body Segment ◽  
And Gender ◽  
Body Segment Parameters

Dynamics and Energetics of Impacts in Crutch Walking

2010 ◽  
Vol 26 (4) ◽  
pp. 473-483 ◽  
Author(s):  
Clément Carpentier ◽  
Josep M. Font-Llagunes ◽  
József Kövecses
Keyword(s):  
Energy Consumption ◽  
Contact Forces ◽  
Body Segment ◽  
Velocity Change ◽  
Energy Redistribution ◽  
Impulsive Dynamics ◽  
Reduce Energy Consumption ◽  
Body Segment Parameters ◽  
The Impact ◽  
2D Model

The impulsive dynamics associated with the impact of the crutch with the ground is an important topic of research, since this is known to be the main cause of energy loss during crutch gait. In this article, a four-segmental 2D model based on anthropometric body segment parameters is used to analyze various dynamics aspects of such impact. For this purpose, a novel formulation based on the decomposition of the tangent space of the biomechanical system to two subspaces associated with the constrained and admissible motions is developed. Detailed numerical analysis is presented to discuss the effects of body configuration and crutch length on the kinetic energy redistribution, velocity change and impulsive contact forces generated. The conclusions reached via this analysis give guidelines for optimal crutch selection or crutch-use teaching that can be applied to injured subjects. For instance, to reduce energy consumption which leads to a reduction of muscular fatigue.

Estimating subject-specific body segment parameters using a 3-dimensional modeller program

2008 ◽  
Vol 41 (16) ◽  
pp. 3506-3510 ◽  
Author(s):  
Peter L. Davidson ◽  
Suzanne J. Wilson ◽  
Barry D. Wilson ◽  
David J. Chalmers
Keyword(s):  
Body Segment ◽  
3 Dimensional ◽  
Subject Specific ◽  
Body Segment Parameters
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