Peng, Yeping;
Yue, Hongtao;
Wang, Song;
Cao, Guangzhong;
Wu, Hongkun;
Liu, Chaozong;
(2023)
Probability-weighted ensemble support vector machine for intelligent recognition of moving wear debris from joint implant.
Tribology International
, 186
, Article 108583. 10.1016/j.triboint.2023.108583.
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Abstract
Friction-induced wear debris from joint implants are effective resources in investigating artificial joint wear and cellular immune response mechanisms. To improve the accuracy of wear debris analysis, an intelligent recognition method is developed for wear debris measurement under motion conditions. In this method, the multi-view image sequence of moving wear debris is captured to acquire the variations of aspect ratio, area, and roundness features. Then multiple SVM models are integrated to identify wear debris types based on weighted probability to improve the accuracy. The proposed method can achieve a classification accuracy of 90.51%, which is better than HIVE-COTE2.0, MultiRocket, and other time series classification algorithms. This method can be applied to monitor wear status of artificial joint articulating surfaces.
| Type: | Article |
|---|---|
| Title: | Probability-weighted ensemble support vector machine for intelligent recognition of moving wear debris from joint implant |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1016/j.triboint.2023.108583 |
| Publisher version: | https://doi.org/10.1016/j.triboint.2023.108583 |
| Language: | English |
| Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
| Keywords: | Artificial joint, CLASSIFICATION, Engineering, Engineering, Mechanical, EXTRACTION, HIP, IMAGES, Intelligent recognition, Moving wear debris, PARTICLES, Probability -weighted ensemble SVM, RECONSTRUCTION, Science & Technology, SHAPE, Technology |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Medical Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Medical Sciences > Div of Surgery and Interventional Sci UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Medical Sciences > Div of Surgery and Interventional Sci > Department of Ortho and MSK Science |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10174906 |
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