Research output per year
Research output per year
Athena Jalalian, Francis E.H. Tay*, Gabriel Liu
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
We aim to determine relationships between scoliotic spine curvatures in movement sequence from left bending to erect to right bending positions in the frontal plane. A multi-body kinematic modelling approach is utilized to reconstruct the curvatures and study the relationships. The spine is considered as a chain of micro-scale motion-segments (MMSs). Linear regression method is adopted to identify relationships between angles of MMSs in erect and lateral bending positions. Excellent linear relationships (R2 = 0.93 ± 0.09) were identified between angles of MMSs placed between each two successive vertebrae. We showed that these relationships give good estimates of the curvatures (Root-mean-square-error = 0.0172 ± 0.0114 mm) and the key parameters for scoliosis surgery planning; estimation errors for Cobb angle, spinal mobility, and flexibility were 0.0016 ± 0.0122°, 0.0010 ± 0.086°, and 0.0002 ± 0.0002 respectively. This paper provides an important insight: scoliotic spine curvatures in lateral bending positions and the key parameters for surgery planning can be predicted using spine curvature in erect position.
Original language | English |
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Title of host publication | Advances in Data Mining: Applications and Theoretical Aspects |
Subtitle of host publication | 16th Industrial Conference, ICDM 2016, New York, NY, USA, July 13-17, 2016: Proceedings |
Editors | Petra Perner |
Place of Publication | Cham |
Publisher | Springer |
Pages | 29-40 |
Number of pages | 12 |
ISBN (Electronic) | 978-3-319-41561-1 |
ISBN (Print) | 978-3-319-41560-4 |
DOIs | |
Publication status | Published - 1 Jan 2016 |
Externally published | Yes |
Event | 16th Industrial Conference on Advances in Data Mining, ICDM 2016 - New York, United States Duration: 13 Jul 2016 → 17 Jul 2016 |
Name | Lecture Notes in Computer Science |
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Publisher | Springer |
Volume | 9728 |
ISSN (Print) | 0302-9743 |
ISSN (Electronic) | 1611-3349 |
Name | Lecture Notes in Artificial Intelligence |
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Publisher | Springer |
Conference | 16th Industrial Conference on Advances in Data Mining, ICDM 2016 |
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Country/Territory | United States |
City | New York |
Period | 13/07/16 → 17/07/16 |
Research output: Thesis › PhD Thesis - Research external, graduation external