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

Peyer, Kathrin E.; Morris, Mark; Sellers, William

doi:10.7287/peerj.preprints.573

Cited by 5 publications

(6 citation statements)

References 16 publications

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“…This scale is the most widely used and currently disseminated in clinical practice. Despite efforts to find an objective technique, these functional assessment tests have a subjective component which defines them 53 .…”

Section: Assessment Techniques For Muscle Balancementioning

confidence: 99%

Functional Assessment of Subacute or Chronic Low Back Pain by Subjective and Objective Measures

Martínez-González¹,

Moreno-Díaz²,

Villarreal-Salcedo³

et al. 2021

RMU

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Due to its high incidence, low back pain is a major problem from a social, health, and labor perspective. It is considered one of the most common causes of medical consultations in primary care, and one of the main reasons for temporary disability. A correct diagnostic approach and adequate therapeutic management will allow for better control of the clinical condition and its evolution. To do this, there are functional assessment techniques, both objective and subjective, which will provide fundamental information to perform appropriate management of the pathology, as well as to assess the effectiveness of the treatment. Within the subjective techniques, the Oswestry disability index is the most widely questionnaire used in hospitals, while the Roland Morris scale is used mainly in primary care. The results provided by the isokinetic and isoinertial techniques assess the functional capacity of the lumbar spine in an easy and convenient way for the patient. The main objective of this study is to present different subjective questionnaires and objective techniques to make a correct valuation of lumbar pain, improving access to adequate treatment and reducing work time.

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Section: Assessment Techniques For Muscle Balancementioning

confidence: 99%

Functional Assessment of Subacute or Chronic Low Back Pain by Subjective and Objective Measures

Martínez-González¹,

Moreno-Díaz²,

Villarreal-Salcedo³

et al. 2021

RMU

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“…One well-adopted indirect method is the use of regression models utilizing a person's mass and height as inputs. The convenience of application makes this approach practical, but as BSPs are sensitive to morphology, age, and gender, the use of a regression model on persons who differ from the population that the model is developed on can result in unrepresentative estimates (19). Some of the most commonly available regression models are derived using data from cadaveric specimens of slender elderly men (20)(21)(22) and young adolescents (4).…”

Section: /29mentioning

confidence: 99%

Estimating body segment parameters from three-dimensional human body scans

Kudzia

Jackson

Dumas

2021

Preprint

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Body segment parameters are inputs for a range of applications. The estimation of body segment parameters that are participant-specific is desirable as it requires fewer prior assumptions and can reduce outcome measurement errors. Commonly used methods for estimating participant-specific body segment parameters are either expensive and out of reach (medical imaging), have many underlying assumptions (geometrical modelling) or are based on a specific subset of a population (regression models). Our objective was to develop a participant-specific 3D scanning and body segmentation method that estimates body segment parameters without any assumptions about the geometry of the body, ethnic background, and gender, is low-cost, fast, and can be readily available. Using a Microsoft Kinect camera, we developed a 3D surface scanning protocol that estimated participant-specific body segment parameters. To evaluate our system, we performed repeated 3D scans of 21 healthy participants (10 male, 11 female). We used open-source software to segment each body scan into 16 segments (head, torso, abdomen, pelvis, left and right hand, forearm, upper arm, foot, shank and thigh) and wrote custom software to estimate each segment's mass, mass moment of inertia in the three principal orthogonal axes relevant to the center of the segment, longitudinal length, and center of mass. We compared our body segment parameter estimates to those obtained using two comparison methods and found that our system was consistent in estimating total body volume between repeated scans (male p=0.1194, female p = 0.2240), estimated total body mass without significant differences when compared to our comparison method and a medical scale (male p=0.8529, female p = 0.6339), and generated consistent and comparable estimates across all of the body segment parameters of interest. The work here outlines an inexpensive 3D surface scanning approach for estimating a range of participant-specific body segment parameters.

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“…Recent advances in computing technology have seen digital modelling used more and more frequently as a method for calculating CoM position (e.g. Henderson, 1999;Hutchinson et al 2007;Ren & Hutchinson, 2008;Amit et al 2009;Bates et al 2009aBates et al , 2016Allen et al 2013;Maidment et al 2014;Park et al 2014;Paxton et al 2014;Nyakatura et al 2015;Peyer et al 2015). Digital models offer some advantages over physical methods including ease of data sharing and simple manipulation for sensitivity analyses and repeatability analyses, in addition to the advantages of scanning procedures such as computed tomography (CT).…”

Section: Introductionmentioning

confidence: 99%

A quantitative evaluation of physical and digital approaches to centre of mass estimation

2017

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Centre of mass is a fundamental anatomical and biomechanical parameter. Knowledge of centre of mass is essential to inform studies investigating locomotion and other behaviours, through its implications for segment movements, and on whole body factors such as posture. Previous studies have estimated centre of mass position for a range of organisms, using various methodologies. However, few studies assess the accuracy of the methods that they employ, and often provide only brief details on their methodologies. As such, no rigorous, detailed comparisons of accuracy and repeatability within and between methods currently exist. This paper therefore seeks to apply three methods common in the literature (suspension, scales and digital modelling) to three ‘calibration objects’ in the form of bricks, as well as three birds to determine centre of mass position. Application to bricks enables conclusions to be drawn on the absolute accuracy of each method, in addition to comparing these results to assess the relative value of these methodologies. Application to birds provided insights into the logistical challenges of applying these methods to biological specimens. For bricks, we found that, provided appropriate repeats were conducted, the scales method yielded the most accurate predictions of centre of mass (within 1.49 mm), closely followed by digital modelling (within 2.39 mm), with results from suspension being the most distant (within 38.5 mm). Scales and digital methods both also displayed low variability between centre of mass estimates, suggesting they can accurately and consistently predict centre of mass position. Our suspension method resulted not only in high margins of error, but also substantial variability, highlighting problems with this method.

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

Cited by 5 publications

References 16 publications

Functional Assessment of Subacute or Chronic Low Back Pain by Subjective and Objective Measures

Functional Assessment of Subacute or Chronic Low Back Pain by Subjective and Objective Measures

Estimating body segment parameters from three-dimensional human body scans

A quantitative evaluation of physical and digital approaches to centre of mass estimation

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