Pelvis feature extraction and classification of Cardiff body match rig base measurements for input into a knowledge-based system

Janusz Kulon, Ian Wilson, Steven Wilcox, Adam Partlow, Colin Gibson

Allbwn ymchwil: Cyfraniad at gyfnodolynErthygladolygiad gan gymheiriaid

Crynodeb

The purpose of this paper is to determine whether it is possible to use an automated measurement tool to clinically classify clients who are wheelchair users with severe musculoskeletal deformities, replacing the current process which relies upon clinical engineers with advanced knowledge and skills. Clients’ body shapes were captured using the Cardiff Body Match (CBM) Rig developed by the Rehabilitation Engineering Unit (REU) at Rookwood Hospital in Cardiff. A bespoke feature extraction algorithm was developed that estimates the position of external landmarks on clients’ pelvises so that useful measurements can be obtained. The outputs of the feature extraction algorithms were compared to CBM measurements where the positions of the client’s pelvis landmarks were known. The results show that using the extracted features facilitated classification. Qualitative analysis showed that the estimated positions of the landmark points were close enough to their actual positions to be useful to clinicians undertaking clinical assessments.
Iaith wreiddiolSaesneg
Tudalennau (o-i)399-406
Nifer y tudalennau8
CyfnodolynJournal of Medical Engineering and Technology
Cyfrol36
Rhif cyhoeddi8
Dynodwyr Gwrthrych Digidol (DOIs)
StatwsCyhoeddwyd - 5 Medi 2012

Ôl bys

Gweld gwybodaeth am bynciau ymchwil 'Pelvis feature extraction and classification of Cardiff body match rig base measurements for input into a knowledge-based system'. Gyda’i gilydd, maen nhw’n ffurfio ôl bys unigryw.

Dyfynnu hyn