Estimating spine shape in lateral sleep positions using silhouette-derived body shape models |
| |
Authors: | Vincent Verhaert Hans Druyts Dorien Van Deun Vasileios Exadaktylos Johan Verbraecken Marie Vandekerckhove Bart Haex Jos Vander Sloten |
| |
Affiliation: | 1. Biomechanics Section, Mechanical Engineering, KU Leuven, Celestijnenlaan 300C, PB 2419, 3001 Heverlee, Belgium;2. M3-BIORES, Biosystems, KU Leuven, Kasteelpark Arenberg 30, 3001 Heverlee, Belgium;3. Multidisciplinary Sleep Disorders Centre, Universitair Ziekenhuis Antwerpen, Wilrijkstraat 10, 2650 Edegem, Belgium;4. Biological Psychology, Vrije Universiteit Brussel, Pleinlaan 2, 1050 Brussels, Belgium |
| |
Abstract: | This study aims at evaluating spinal alignment during sleep by combining personalized human models with mattress indentation measurements. A generic surface model has been developed that can be personalized based on anthropometric parameters derived from silhouette extraction. Shape assessment of the personalized surface models, performed by comparison with 3-D surface scans of the trunk, showed a mean unsigned distance of 9.77 mm between modeled and scanned surface meshes. The surface model is combined with an inner skeleton model, allowing the model to simulate distinct sleep postures. An automatic fitting algorithm sets the appropriate degrees of freedom to position the model on the measured indentation according to the adopted sleep posture. Validation on lateral sleep positions showed good intraclass correlations (0.73–0.88) between estimated and measured angular spinal deformations, indicating that silhouette-derived body shape models provide a valuable tool for the unobtrusive assessment of spinal alignment during sleep.Relevance to industry: A common drawback of the available techniques to assess spinal deformation on bedding systems is that they interfere with the actual sleep process. The current study presents a novel method based on silhouette-derived body shape models in order to estimate spine shape during sleep unobtrusively. |
| |
Keywords: | |
本文献已被 ScienceDirect 等数据库收录! |
|