ArticleJournal of anatomy2022
Spherical frame projections for visualising joint range of motion, and a complementary method to capture mobility data.
Article in Journal of anatomy, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- Scaling of internal joint distance in the elbow of small- to medium-sized mammals: Implications for range of motion analyses.Journal of anatomy · 2026Article
- The functional significance of aberrant cervical counts in sloths: insights from automated exhaustive analysis of cervical range of motion.Proceedings. Biological sciences · 2023Article
- Spherical frame projections for visualising joint range of motion, and a complementary method to capture mobility data.Journal of anatomy · 2022Article
- In vivo and ex vivo range of motion in the fire salamander Salamandra salamandra.Journal of anatomy · 2022Article
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Authors and funding
4 authors.
Funding
Abstract
Quantifying joint range of motion (RoM), the reachable poses at a joint, has many applications in research and clinical care. Joint RoM measurements can be used to investigate the link between form and function in extant and extinct animals, to diagnose musculoskeletal disorders and injuries or monitor rehabilitation progress. However, it is difficult to visually demonstrate how the rotations of the joint axes interact to produce joint positions. Here, we introduce the spherical frame projection (SFP), which is a novel 3D visualisation technique, paired with a complementary data collection approach. SFP visualisations are intuitive to interpret in relation to the joint anatomy because they 'trace' the motion of the coordinate system of the distal bone at a joint relative to the proximal bone. Furthermore, SFP visualisations incorporate the interactions of degrees of freedom, which is imperative to capture the full joint RoM. For the collection of such joint RoM data, we designed a rig using conventional motion capture systems, including live audio-visual feedback on torques and sampled poses. Thus, we propose that our visualisation and data collection approach can be adapted for wide use in the study of joint function.
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Registered trials
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