204 17 626 4 2749 document 626 SSTrials.xlsx application/vnd.openxmlformats-officedocument.spreadsheetml.sheet 964911e463725a7adb6f518933c0a4e5 MD5 236436 2021-11-12 10:52:37 https://bordar.bournemouth.ac.uk/204/1/SSTrials.xlsx 204 1 1 application/vnd.openxmlformats-officedocument.spreadsheetml.sheet spreadsheet spinal shape quantitative data en public cc_by_nd_4

SSTrials.xlsx

data 627 3 2751 document 627 TSTrials.xlsx application/vnd.openxmlformats-officedocument.spreadsheetml.sheet 38226ca20ce384f5259e7cad98754aa0 MD5 210837 2021-11-12 10:52:43 https://bordar.bournemouth.ac.uk/204/2/TSTrials.xlsx 204 2 2 application/vnd.openxmlformats-officedocument.spreadsheetml.sheet spreadsheet Trunk shape quantitative data en public cc_by_nd_4

TSTrials.xlsx

data 628 3 2753 document 628 Scoliosis Trials.xlsx application/vnd.openxmlformats-officedocument.spreadsheetml.sheet 7f26951c4527984acc3a28b8e1c974ab MD5 56766 2021-11-12 10:52:49 https://bordar.bournemouth.ac.uk/204/3/Scoliosis%20Trials.xlsx 204 3 3 application/vnd.openxmlformats-officedocument.spreadsheetml.sheet spreadsheet Scoliosis shape quantitative data en public cc_by_nd_4

Scoliosis Trials.xlsx

data 664 2 3029 document 664 ReadMe.docx application/vnd.openxmlformats-officedocument.wordprocessingml.document 658fa44d8c748f2e6b34fbc67af94ca3 MD5 17678 2021-12-13 10:41:02 https://bordar.bournemouth.ac.uk/204/4/ReadMe.docx 204 4 4 application/vnd.openxmlformats-officedocument.wordprocessingml.document text en public cc_by_nd_4

ReadMe.docx

readme 665 1 3033 document 665 indexcodes.txt text/plain 033396cb04e6ab1c4ad69a571ee44f15 MD5 650 2021-12-13 10:51:13 https://bordar.bournemouth.ac.uk/204/5/indexcodes.txt 204 5 5 text/plain other Generate index codes conversion from text to indexcodes en public

indexcodes.txt

http://eprints.org/relation/isVersionOf https://bordar.bournemouth.ac.uk/id/document/664 http://eprints.org/relation/isVolatileVersionOf https://bordar.bournemouth.ac.uk/id/document/664 http://eprints.org/relation/isIndexCodesVersionOf https://bordar.bournemouth.ac.uk/id/document/664 archive 5928 disk0/00/00/02/04 2021-12-13 10:44:59 2021-12-13 10:45:11 2021-12-13 10:44:59 data_collection show Daniel E. S edaniel@bournemouth.ac.uk http://www.loc.gov/loc.terms/relators/AUT Daniel E. S edaniel@bournemouth.ac.uk ihcs Spine, trunk, shape, scoliosis, electromagnetic, angles A critical component in the clinical assessment of spinal and trunk disorders is the analysis of posture. Currently the gold-standard is restricted by repeated radiation exposure and whilst alternative surface methods are available, these are limited to detection of spinal shape only. To date, no surface method has been extended to also quantify trunk shape. In order to address this, the aims of this research were 1) develop a method for measuring spinal and trunk shape using an electromagnetic system; 2) determine the validity and reliability of this method and 3) explore the optimal data processing for this method. Using a repeated measures design, data were collected on phantom models of different shapes using an electromagnetic system. This provided the three-dimensional co-ordinates from which spine and trunk angles were derived. The 6th order polynomial fit was deemed optimal for spinal shape measurements with an electromagnetic system. These measurements were highly reliable (ICC = >0.999), highly repeatable (MDC = <0.018º, SEM = <0.007º) and shown to be valid compared to a flexicurve method. The Lowess function was recommended for trunk shape measurements as it yielded good-to-excellent repeatability (ICC = 0.809-0.999), high absolute reliability (MDC = 0.18-4.0º, SEM = 0.06-0.07º) and angles derived were valid compared to a flexicurve method. This study addressed a clinical need by developing a novel method for measuring trunk shape in addition to spinal shape using a surface method which was shown to be valid and reliable. Exploration of the method’s optimal data processing techniques found the 6th order polynomial fit and Lowess function to be best for spinal shape and trunk shape measurements respectively. Additionally, whilst it is recommended that tangent lengths should not be used interchangeably, the tangent length chosen should not significantly affect measurements if used consistently. Meanwhile, the method’s non-invasive, non-ionising and low-cost features make it clinically attractive. Therefore, this research holds future prospects for the examination and monitoring of disease and treatment outcomes as well as, the understanding of many disorders, such as scoliosis. Although further research is warranted, this method has the potential for use in routine clinical practice. 2021 published Bournemouth University 10.18746/bmth.data.00000204 Database E. S. Daniel bordar@bournemouth.ac.uk Daniel E. S edaniel@bournemouth.ac.uk thesis https://eprints.bournemouth.ac.uk/35962/ Bournemouth University A specific MATLAB algorithm was written to yield this data. All measurement files consisting of spinal or trunk sweep co-ordinates were imported into MATLAB where the algorithm determined tangents in the sagittal or transverse plane to derive angles and quantify shape at specific anatomical locations. Using a repeated measures design, data were collected on phantom models of different shapes using an electromagnetic system. This provided the three-dimensional co-ordinates from which spine and trunk angles were derived. Two different measurement methods were used for each set of the three spinal and trunk shape trials. The ‘consecutive’ trials consisted of completing the three repeats of one phantom model without moving the equipment or phantom. The other set of three repeats occurred ‘non-consecutively’ where spinal shape was measured once on each phantom model and then repeated. No human participants were used in this research. Therefore, no participant identifying data is included in this data. 2021-01 2021-05