Instantaneous helical axis estimation from 3-D video data in neck kinematics for whiplash diagnostics

Woltring, Herman J.; Long, Kathleen Ann; Osterbauer, Paul J.; Fuhr, Arlan W.

doi:10.1016/0021-9290(94)90192-9

Cited by 119 publications

(98 citation statements)

References 15 publications

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“…Since their displacements are small, FHAs are characterised by small deterministic errors but large stochastic errors. Due to these large stochastic errors, not much work has been published using the finite helical axis method [11,24]. In 1994, Woltring et al applied this approach to the kinematics of the spine [24].…”

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confidence: 99%

“…Due to these large stochastic errors, not much work has been published using the finite helical axis method [11,24]. In 1994, Woltring et al applied this approach to the kinematics of the spine [24]. In preliminary experiments, they estimated the FHAs for flexion-extension movements of the cervical spine and were able to demonstrate differences in axis position and orientation between healthy volunteers and patients who suffered from whiplash injury.…”

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confidence: 99%

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Finite helical axes of motion are a useful tool to describe the three-dimensional in vitro kinematics of the intact, injured and stabilised spine

et al. 2004

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IntroductionKinematical methods are widely used to describe the function of the healthy spine, the effect of degeneration or trauma, or the quality of treatment procedures. For in vitro experiments on the spine, usually three angles are reported, typically Cardanic/Eulerian angles or projection angles. Prerequisite for a description of these is a predefined, anatomical coordinate system. The coordinate system generally used for the study of the spine spans the frontal, sagittal and transverse planes. The three Cardanic/ Abstract The finite helical-axes method can be used to describe the three-dimensional in vitro kinematics of the spine. However, this method still suffers from large stochastic calculation errors and poorly conceived visualisation techniques. The aim of the present study, therefore, was to improve the currently used finite helical axes description, by use of a less error-prone calculation algorithm and a new visualisation technique, and to apply this improved method to the study of the threedimensional in vitro kinematics of the spine. Three-dimensional, continuous motion data of spinal motion segments were used to calculate the position and orientation of the finite helical axes (FHAs). The axes were then projected on plane antero-posterior, lateral and axial radiographs in order to depict the relation to the anatomy of each individual specimen. A hinge joint was used to estimate the measurement error of data collection and axes calculation. In an exemplary in vitro experiment, this method was used to demonstrate the ability of a prosthetic disc nucleus to restore the three-dimensional motion pattern of lumbar motion segments.In the validation experiment with the hinge joint, the calculated FHAs were lying within ±2.5 mm of the actual joint axis and were inclined relative to this axis at up to ±1.5°. In the exemplary in vitro experiment, the position and orientation of the FHAs of the intact specimens were subject to large inter-individual differences in all loading directions. Nucleotomy of the lumbar segments caused the axes to spread out, indicating complex coupled motions. The implantation of the prosthetic disc nucleus, for the most part, more than reversed this effect: the axes became oriented almost parallel to each other. The experiments showed that the present improved description of finite helical axes is a valid and useful tool to characterise the three-dimensional in vitro kinematics of the intact, injured and stabilised spine. The main advantage of this new method is the comprehensive visualisation of joint function with respect to the individual anatomy.

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Finite helical axes of motion are a useful tool to describe the three-dimensional in vitro kinematics of the intact, injured and stabilised spine

et al. 2004

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“…1). This representation has been used by others to describe the gross 3-dimensional head-to-trunk movement using marker based systems [16][17][18] . Segmental coordinates were derived from three non-colinear passive markers mounted on the subject's head (occipital, right temporal, left temporal) and trunk (T 1 , T 10 , manubrium).…”

Section: Data Collection and Analysismentioning

confidence: 99%

Characterizing head motion in three planes during combined visual and base of support disturbances in healthy and visually sensitive subjects

Keshner

Dhaher

2008

Gait & Posture

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Multiplanar environmental motion could generate head instability, particularly if the visual surround moves in planes orthogonal to a physical disturbance. We combined sagittal plane surface translations with visual field disturbances in 12 healthy (29-31 years) and 3 visually sensitive (27-57 years) adults. Center of pressure (COP), peak head angles, and RMS values of head motion were calculated and a 3-dimensional model of joint motion 11 was developed to examine gross head motion in 3 planes. We found that subjects standing quietly in front of a visual scene translating in the sagittal plane produced significantly greater (p<0.003) head motion in yaw than when on a translating platform. However, when the platform was translated in the dark or with a visual scene rotating in roll, head motion orthogonal to the plane of platform motion significantly increased (p<0.02). Visually sensitive subjects having no history of vestibular disorder produced large, delayed compensatory head motion. Orthogonal head motions were significantly greater in visually sensitive than in healthy subjects in the dark (p<0.05) and with a stationary scene (p<0.01). We concluded that motion of the visual field can modify compensatory response kinematics of a freely moving head in planes orthogonal to the direction of a physical perturbation. These results suggest that the mechanisms controlling head orientation in space are distinct from those that control trunk orientation in space. These behaviors would have been missed if only COP data were considered. Data suggest that rehabilitation training can be enhanced by combining visual and mechanical perturbation paradigms.

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“…have not yet been established (Grip et al , 2007, Grip et al , 2008, Woltring et al , 1994. Thus, the aim of this study was to investigate the intra-and inter-session reliability of two HA parameters, the CHA and MA, during active movements of the cervical spine in healthy volunteers.…”

Section: Introductionmentioning

confidence: 99%

“…Their position and orientation change substantially through the range (Graf and Stefanyshyn, 2012, Grip and Hager, 2013, Woltring et al , 1994. The behaviour of the HA during motion depends on the irregularity of the joint surface but may also be influenced by motor control (Grip et al , 2008).…”

Section: Introductionmentioning

confidence: 99%

Can parameters of the helical axis be measured reliably during active cervical movements?

Barbero

Falla

Clijsen

et al. 2017

Musculoskeletal Science and Practice

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Convex hull area (CHA) and mean angle (MA) have been proposed to describe the behaviour of the helical axis during joint kinematics. This study investigates the intra-and inter-session reliability of CHA and MA during active movements of the cervical spine. Twenty-seven healthy volunteers (19 women) aged 23±2.8 years participated. Each volunteer was tested on two sessions. All participants were instructed to perform the following active movements of the cervical spine: rotation, flexion/extension and lateral bending, each performed to full range and repeated ten consecutive times. Cervical movements were registered with an electromagnetic tracking system. For each participant, each movement and each session, range of motion (ROM), CHA and MA were extracted. ROM showed high intra-and inter-session reliability during all cervical spine movements using this method. Overall, the intra-and inter-session reliability of the helical axis parameters varied depending on the movement direction and ranged from fair to almost perfect. The intra-and inter-session reliability of CHA and MA were almost perfect during rotation whereas the intra-and inter-session reliability of CHA was substantial during lateral bending and intra-and inter-session reliability of MA ranged from fair to substantial during flexion/extension and lateral bending. This is the first study to evaluate the reliability of helical axis measures during active movements of the cervical spine. The results show that CHA and MA are promising descriptors of cervical kinematics which could be applied in future studies to evaluate neck function in patients with cervical spine disorders.

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Instantaneous helical axis estimation from 3-D video data in neck kinematics for whiplash diagnostics

Cited by 119 publications

References 15 publications

Finite helical axes of motion are a useful tool to describe the three-dimensional in vitro kinematics of the intact, injured and stabilised spine

Finite helical axes of motion are a useful tool to describe the three-dimensional in vitro kinematics of the intact, injured and stabilised spine

Characterizing head motion in three planes during combined visual and base of support disturbances in healthy and visually sensitive subjects

Can parameters of the helical axis be measured reliably during active cervical movements?

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