Deveploment of Novel Talus Implant Based on Artificial Neural Network Prediction of Talus Morphological Parameters

The design philosophies of current talus implant focus too much on mechanical simplicity and usually based on certain population which tends to ignore the bony geometry difference between populations. Thus, the novel talus implant (NTI) for particular population was developed based on artificial neu...

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Main Authors:	R., Daud, Suaidah, S., Mohammed Rafiq, Abdul Kadir, Sudin, Izman, Mas Ayu, Hassan, Hanumantharao, Balaji Raghavendran, Tunku, Kamarul
Format:	Conference or Workshop Item
Language:	English
Published:	2015
Subjects:	TJ Mechanical engineering and machinery
Online Access:	http://umpir.ump.edu.my/id/eprint/11174/ http://umpir.ump.edu.my/id/eprint/11174/1/Deveploment%20of%20Novel%20Talus%20Implant%20based%20on%20Artificial%20Neural%20Network%20prediction%20of%20Talus%20Morphological%20Parameters.pdf

id	ump-11174
recordtype	eprints
spelling	ump-111742018-01-31T06:58:42Z http://umpir.ump.edu.my/id/eprint/11174/ Deveploment of Novel Talus Implant Based on Artificial Neural Network Prediction of Talus Morphological Parameters R., Daud Suaidah, S. Mohammed Rafiq, Abdul Kadir Sudin, Izman Mas Ayu, Hassan Hanumantharao, Balaji Raghavendran Tunku, Kamarul TJ Mechanical engineering and machinery The design philosophies of current talus implant focus too much on mechanical simplicity and usually based on certain population which tends to ignore the bony geometry difference between populations. Thus, the novel talus implant (NTI) for particular population was developed based on artificial neural network (ANN) prediction of talus morphometrics. By using Finite Element Method (FEM), numerical models that include mainly the talus bone and the talus implants are created to compare the performance of the NTI with the three different kind of current talus implant designs. The study demonstrates that not all current talus implant are perfect match for this particular population. While, the ANN method showed a greater capacity of prediction regarding on the low percentage of error and high correlative values with the measurements obtained through Computer Tomographic (CT) scan. ANN is highly accurate predictive methods and has the potential to be used as assisting tools in designing talus implant. For FEM results, only BOX and NTI exceeded the contact stress recommended for the superior articular surface compared to the others. The results also showed that the stress increased near the resected surface. Thus, it is agreed that excessive bone resection may not support the force at the ankle which consequently may contribute to early loosening and subsidence of the talus implant. It is concluded that the excessive bone resection can be avoided by perfectly match talus implant which only can be achieved by designing talus implant for a particular population. 2015 Conference or Workshop Item PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/11174/1/Deveploment%20of%20Novel%20Talus%20Implant%20based%20on%20Artificial%20Neural%20Network%20prediction%20of%20Talus%20Morphological%20Parameters.pdf R., Daud and Suaidah, S. and Mohammed Rafiq, Abdul Kadir and Sudin, Izman and Mas Ayu, Hassan and Hanumantharao, Balaji Raghavendran and Tunku, Kamarul (2015) Deveploment of Novel Talus Implant Based on Artificial Neural Network Prediction of Talus Morphological Parameters. In: World Bio Summit & Expo 2015, 1-5 Nov 2015 , Dubai. . (Unpublished)
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English
topic	TJ Mechanical engineering and machinery
spellingShingle	TJ Mechanical engineering and machinery R., Daud Suaidah, S. Mohammed Rafiq, Abdul Kadir Sudin, Izman Mas Ayu, Hassan Hanumantharao, Balaji Raghavendran Tunku, Kamarul Deveploment of Novel Talus Implant Based on Artificial Neural Network Prediction of Talus Morphological Parameters
description	The design philosophies of current talus implant focus too much on mechanical simplicity and usually based on certain population which tends to ignore the bony geometry difference between populations. Thus, the novel talus implant (NTI) for particular population was developed based on artificial neural network (ANN) prediction of talus morphometrics. By using Finite Element Method (FEM), numerical models that include mainly the talus bone and the talus implants are created to compare the performance of the NTI with the three different kind of current talus implant designs. The study demonstrates that not all current talus implant are perfect match for this particular population. While, the ANN method showed a greater capacity of prediction regarding on the low percentage of error and high correlative values with the measurements obtained through Computer Tomographic (CT) scan. ANN is highly accurate predictive methods and has the potential to be used as assisting tools in designing talus implant. For FEM results, only BOX and NTI exceeded the contact stress recommended for the superior articular surface compared to the others. The results also showed that the stress increased near the resected surface. Thus, it is agreed that excessive bone resection may not support the force at the ankle which consequently may contribute to early loosening and subsidence of the talus implant. It is concluded that the excessive bone resection can be avoided by perfectly match talus implant which only can be achieved by designing talus implant for a particular population.
format	Conference or Workshop Item
author	R., Daud Suaidah, S. Mohammed Rafiq, Abdul Kadir Sudin, Izman Mas Ayu, Hassan Hanumantharao, Balaji Raghavendran Tunku, Kamarul
author_facet	R., Daud Suaidah, S. Mohammed Rafiq, Abdul Kadir Sudin, Izman Mas Ayu, Hassan Hanumantharao, Balaji Raghavendran Tunku, Kamarul
author_sort	R., Daud
title	Deveploment of Novel Talus Implant Based on Artificial Neural Network Prediction of Talus Morphological Parameters
title_short	Deveploment of Novel Talus Implant Based on Artificial Neural Network Prediction of Talus Morphological Parameters
title_full	Deveploment of Novel Talus Implant Based on Artificial Neural Network Prediction of Talus Morphological Parameters
title_fullStr	Deveploment of Novel Talus Implant Based on Artificial Neural Network Prediction of Talus Morphological Parameters
title_full_unstemmed	Deveploment of Novel Talus Implant Based on Artificial Neural Network Prediction of Talus Morphological Parameters
title_sort	deveploment of novel talus implant based on artificial neural network prediction of talus morphological parameters
publishDate	2015
url	http://umpir.ump.edu.my/id/eprint/11174/ http://umpir.ump.edu.my/id/eprint/11174/1/Deveploment%20of%20Novel%20Talus%20Implant%20based%20on%20Artificial%20Neural%20Network%20prediction%20of%20Talus%20Morphological%20Parameters.pdf
first_indexed	2023-09-18T22:11:38Z
last_indexed	2023-09-18T22:11:38Z
_version_	1777415066669285376

Deveploment of Novel Talus Implant Based on Artificial Neural Network Prediction of Talus Morphological Parameters

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