@inproceedings{6bb06b68bc53443097c565375d40346f,
title = "Validation of a multi-segment spinal model for kinematic analysis and a comparison of different data processing techniques",
abstract = "Optoelectronic motion capture technology is a useful tool in the quantitative dynamic assessment of the spine. In a clinical setting this may help gain a further understanding of underlining musculoskeletal pathology. It is therefore important that accurate measurements are made to allow data to be comparable across various investigations. This report outlines a new multi-segment spinal model and its validation. A mechanical model consisting of an upper thoracic (UT), lower thoracic and lumbar segment was developed allowing for range of motion assessment. An electrogoniometer and torsiometer were attached to the model to provide a control measurement. The UT segment was chosen for analysis and static trials were collected at angles ranging from 2-45°. Kinematic data was captured using an optoelectronic motion capture system. Software computed angles corresponded well with the control measure. While highlighting the differences in the estimation of angles between software platforms, this study emphasizes the need for the clear description and understanding of the kinematic model used.",
keywords = "Kinematic, Model, Multi-segment, Processing, Software, Spine, Validation",
author = "R. Needham and N. Chockalingam and R. Naemi and T. Shannon and A. Healy",
year = "2012",
doi = "10.3233/978-1-61499-067-3-151",
language = "English",
isbn = "9781614990666",
series = "Studies in Health Technology and Informatics",
publisher = "IOS Press",
pages = "151--154",
booktitle = "Research into Spinal Deformities 8",
address = "Netherlands",
note = "9th Biennial Meeting of the International Research Society of Spinal Deformities, IRSSD 2012 ; Conference date: 01-07-2012 Through 04-07-2012",
}