Between-session reliability of opto-electronic motion capture in measuring sagittal posture and 3-D ranges of motion of the thoracolumbar spine

Mousavi, Seyed Javad; Tromp, Rebecca; Swann, Matthew; White, A.; Anderson, Dennis E.

doi:10.1016/j.jbiomech.2018.08.033

Cited by 17 publications

(16 citation statements)

References 25 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…These biases are likely due to limited information about movements from individual spinal segments and changes in spinal ROM. While these limitations could be overcome by motion capture ( Cappello et al, 2005 ; Mousavi et al, 2018 ), or imaging techniques like fluoroscopy ( Cox et al, 2001 ) and dynamic MRI ( Kulig, Landel & Powers, 2004 ), these systems are generally operationally complex and expensive. On the other hand, inertial measurement units (IMUs) offer a low cost, user-friendly alternative that is already widely used in sport ( Ahmadi, Rowlands & James, 2010 ; Nuesch et al, 2017 ) and clinical applications ( Beange et al, 2019 ).…”

Section: Introductionmentioning

confidence: 99%

A novel IMU-based clinical assessment protocol for Axial Spondyloarthritis: a protocol validation study

Franco

Sengupta

Wade

et al. 2021

PeerJ

View full text Add to dashboard Cite

Clinical assessment of spinal impairment in Axial Spondyloarthritis is currently performed using the Bath Ankylosing Spondylitis Metrological Index (BASMI). Despite being appreciated for its simplicity, the BASMI index lacks sensitivity and specificity of spinal changes, demonstrating poor association with radiographical range of motion (ROM). Inertial measurement units (IMUs) have shown promising results as a cost-effective method to quantitatively examine movement of the human body, however errors due to sensor angular drift have limited their application to a clinical space. Therefore, this article presents a wearable sensor protocol that facilitates unrestrained orientation measurements in space while limiting sensor angular drift through a novel constraint-based approach. Eleven healthy male participants performed five BASMI-inspired functional movements where spinal ROM and continuous kinematics were calculated for five spine segments and four spinal joint levels (lumbar, lower thoracic, upper thoracic and cervical). A Bland–Altman analysis was used to assess the level of agreement on range of motion measurements, whilst intraclass correlation coefficient (ICC), standardised error measurement, and minimum detectable change (MDC) to assess relative and absolute reliability. Continuous kinematics error was investigated through root mean square error (RMSE), maximum absolute error (MAE) and Spearman correlation coefficient (ρ). The overall error in the measurement of continuous kinematic measures was low in both the sagittal (RMSE = 2.1°), and frontal plane (RMSE = 2.3°). ROM limits of agreement (LoA) and minimum detectable change were excellent for the sagittal plane (maximum value LoA 1.9° and MDC 2.4°) and fair for lateral flexion (overall value LoA 4.8° and MDC 5.7°). The reliability analysis showed excellent level of agreement (ICC > 0.9) for both segment and joint ROM across all movements. The results from this study demonstrated better or equivalent accuracy than previous studies and were considered acceptable for application in a clinical setting. The protocol has shown to be a valuable tool for the assessment of spinal ROM and kinematics, but a clinical validation study on Axial Spondyloarthritis patients is required for the development and testing of a novel mobility index.

show abstract

Section: Introductionmentioning

confidence: 99%

A novel IMU-based clinical assessment protocol for Axial Spondyloarthritis: a protocol validation study

Franco

Sengupta

Wade

et al. 2021

PeerJ

View full text Add to dashboard Cite

show abstract

“…However, these can still be valid substitutes for radiographic measures in study outcomes and analyses (eg, comparing group means), where they will likely fall within a few degrees of radiographic measures. Moreover, reported reliability is generally good to excellent for both radiographic 35 and non‐radiographic 19 measures of kyphosis, including flexicurve and marker‐based measures 29 . Thus they likely have similar utility for evaluating curvature and changes in curvature over time.…”

Section: Discussionmentioning

confidence: 97%

“…Calculated central angle ( F.Calculated ): The length and depth of the thoracic curve were measured from the initial flexicurve trace. Then, as described previously in Reference29, the kyphosis angle can be estimated by assuming the flexicurve trace approximates an arc of a circle, and calculated by the central angle of the arc, given the arc length, L , and depth, d . Thus, the central angle was calculated (Figure 1):

θ = 2 \sin^{- 1} ((), \frac{4 dL}{4 d^{2} + L^{2}})

…”

Section: Methodsmentioning

confidence: 99%

Validity of flexicurve and motion capture for measurements of thoracic kyphosis vs standing radiographic measurements

et al. 2020

Self Cite

View full text Add to dashboard Cite

Thoracic kyphosis varies among healthy adults and typically increases with age. Excessive kyphosis (hyperkyphosis) is associated with negative health. Spinal alignment also affects spine loading, with implications for conditions such as vertebral fractures and back pain. Valid measurements of kyphosis are necessary for clinical and research assessment of age-related posture changes, and to support improved biomechanical understating of spine conditions. Independent validation of non-radiographic techniques, however, remains limited. The goal of this study was to compare standing radiographic kyphosis measurements with non-radiographic measurements and predictions of thoracic kyphosis using flexicurve and motion analysis markers, in order to determine their validity. Thirteen non-radiographic measures of thoracic kyphosis were obtained in each of 40 adult subjects who also underwent standing radiographs of the thoracic spine. Measures included estimates derived by fitting of polynomials or circles to the non-radiographic data, as well as predictions calculated using previously published methods. Intra-class correlations (ICC) and root-mean square errors (RMSEs) were calculated between radiographic and non-radiographic measures to determine validity. Most non-radiographic estimates of kyphosis show similar, weak to moderate levels of validity when compared to radiographic measurements, and RMSEs ranging from 8.0 to 20.8. Unbiased estimates of radiographic measurements with moderate to good ICCs were identified, however, based on marker measurements, and new prediction equations were created with similar validity that also account for age and body habitus. Clinical significance: These non-radiographic measurements of thoracic kyphosis can be applied to clinical practice or to clinical studies with recognition of specific limitations.

show abstract

“…However, there is no standardized approach for measurement of trunk posture and spinal motion due to the methodological differences [e.g., different marker location, marker set (single or clusters), and the number of markers on the spine] involved in generating reproducible spinal kinematics (Mason et al, 2016 ). Some studies have addressed the between-session reliability of motion capture for trunk posture and range of motion (ROM) measurements (Dunk et al, 2004 , 2005 ; O'Sullivan et al, 2010 ; Fortin et al, 2012 ; Hidalgo et al, 2012 ; Harsted et al, 2016 ; Rast et al, 2016 ; Muyor et al, 2017 ; Mousavi et al, 2018 ). Overall, these studies provide some evidence that optoelectronic motion capture data may provide an indirect but reliable approach to non-invasively assess the kinematics of the spine.…”

Section: Introductionmentioning

confidence: 99%

The Influence of Kinematic Constraints on Model Performance During Inverse Kinematics Analysis of the Thoracolumbar Spine

Alemi

Burkhart

Lynch

et al. 2021

Front. Bioeng. Biotechnol.

Self Cite

View full text Add to dashboard Cite

Motion analysis is increasingly applied to spine musculoskeletal models using kinematic constraints to estimate individual intervertebral joint movements, which cannot be directly measured from the skin surface markers. Traditionally, kinematic constraints have allowed a single spinal degree of freedom (DOF) in each direction, and there has been little examination of how different kinematic constraints affect evaluations of spine motion. Thus, the objective of this study was to evaluate the performance of different kinematic constraints for inverse kinematics analysis. We collected motion analysis marker data in seven healthy participants (4F, 3M, aged 27–67) during flexion–extension, lateral bending, and axial rotation tasks. Inverse kinematics analyses were performed on subject-specific models with 17 thoracolumbar joints allowing 51 rotational DOF (51DOF) and corresponding models including seven sets of kinematic constraints that limited spine motion from 3 to 9DOF. Outcomes included: (1) root mean square (RMS) error of spine markers (measured vs. model); (2) lag-one autocorrelation coefficients to assess smoothness of angular motions; (3) maximum range of motion (ROM) of intervertebral joints in three directions of motion (FE, LB, AR) to assess whether they are physiologically reasonable; and (4) segmental spine angles in static ROM trials. We found that RMS error of spine markers was higher with constraints than without (p < 0.0001) but did not notably improve kinematic constraints above 6DOF. Compared to segmental angles calculated directly from spine markers, models with kinematic constraints had moderate to good intraclass correlation coefficients (ICCs) for flexion–extension and lateral bending, though weak to moderate ICCs for axial rotation. Adding more DOF to kinematic constraints did not improve performance in matching segmental angles. Kinematic constraints with 4–6DOF produced similar levels of smoothness across all tasks and generally improved smoothness compared to 9DOF or unconstrained (51DOF) models. Our results also revealed that the maximum joint ROMs predicted using 4–6DOF constraints were largely within physiologically acceptable ranges throughout the spine and in all directions of motions. We conclude that a kinematic constraint with 5DOF can produce smooth spine motions with physiologically reasonable joint ROMs and relatively low marker error.

show abstract

Between-session reliability of opto-electronic motion capture in measuring sagittal posture and 3-D ranges of motion of the thoracolumbar spine

Cited by 17 publications

References 25 publications

A novel IMU-based clinical assessment protocol for Axial Spondyloarthritis: a protocol validation study

A novel IMU-based clinical assessment protocol for Axial Spondyloarthritis: a protocol validation study

Validity of flexicurve and motion capture for measurements of thoracic kyphosis vs standing radiographic measurements

The Influence of Kinematic Constraints on Model Performance During Inverse Kinematics Analysis of the Thoracolumbar Spine

Contact Info

Product

Resources

About