Primary stability recognition of the newly designed cementless femoral stem using digital signal processing

Stress shielding and micromotion are two major issues which determine the success of newly designed cementless femoral stems.The correlation of experimental validation with finite element analysis (FEA) is commonly used to valuate the stress distribution and fixation stability of the stem within the...

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Main Authors:	Baharuddin, Mohd Yusof, Salleh, Sh-Hussain, Hamedi, Mahyar, Zulkifly, Ahmad Hafiz, Lee, Muhammad Hisyam, Mohd Noor, Alias, A. Harris, Arief Ruhullah, Abdul Majid, Norazman
Format:	Article
Language:	English English English
Published:	Hindawi Publishing Corporation 2014
Subjects:	RD701 Orthopedics
Online Access:	http://irep.iium.edu.my/38251/ http://irep.iium.edu.my/38251/ http://irep.iium.edu.my/38251/ http://irep.iium.edu.my/38251/1/38251_Primary%20stability%20recognition.pdf http://irep.iium.edu.my/38251/2/38251_Primary%20stability%20recognition_SCOPUS.pdf http://irep.iium.edu.my/38251/3/38251_Primary%20stability%20recognition_WOS.pdf

id	iium-38251
recordtype	eprints
spelling	iium-382512017-09-19T08:36:38Z http://irep.iium.edu.my/38251/ Primary stability recognition of the newly designed cementless femoral stem using digital signal processing Baharuddin, Mohd Yusof Salleh, Sh-Hussain Hamedi, Mahyar Zulkifly, Ahmad Hafiz Lee, Muhammad Hisyam Mohd Noor, Alias A. Harris, Arief Ruhullah Abdul Majid, Norazman RD701 Orthopedics Stress shielding and micromotion are two major issues which determine the success of newly designed cementless femoral stems.The correlation of experimental validation with finite element analysis (FEA) is commonly used to valuate the stress distribution and fixation stability of the stem within the femoral canal. This paper focused on the applications of feature extraction and pattern recognition using support vector machine (SVM) to determine the primary stability of the implant. We measured strain with triaxial rosette at the metaphyseal region and micromotion with linear variable direct ransducer proximally and distally using composite femora. The root mean squares technique is used to feed the classifier which provides maximum likelihood estimation of amplitude, and radial basis function is used as the kernel parameter which mapped the datasets into separable hyperplanes.The results showed 100% pattern recognition accuracy using SVM for both strain and micromotion.This indicates that DSP could be applied in determining the femoral stem primary stability with high pattern recognition accuracy in biomechanical testing. Hindawi Publishing Corporation 2014 Article PeerReviewed application/pdf en http://irep.iium.edu.my/38251/1/38251_Primary%20stability%20recognition.pdf application/pdf en http://irep.iium.edu.my/38251/2/38251_Primary%20stability%20recognition_SCOPUS.pdf application/pdf en http://irep.iium.edu.my/38251/3/38251_Primary%20stability%20recognition_WOS.pdf Baharuddin, Mohd Yusof and Salleh, Sh-Hussain and Hamedi, Mahyar and Zulkifly, Ahmad Hafiz and Lee, Muhammad Hisyam and Mohd Noor, Alias and A. Harris, Arief Ruhullah and Abdul Majid, Norazman (2014) Primary stability recognition of the newly designed cementless femoral stem using digital signal processing. BioMed Research International, 2014. pp. 1-9. ISSN 2314-6133 https://www.hindawi.com/journals/bmri/2014/478248/ 10.1155/2014/478248
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English English English
topic	RD701 Orthopedics
spellingShingle	RD701 Orthopedics Baharuddin, Mohd Yusof Salleh, Sh-Hussain Hamedi, Mahyar Zulkifly, Ahmad Hafiz Lee, Muhammad Hisyam Mohd Noor, Alias A. Harris, Arief Ruhullah Abdul Majid, Norazman Primary stability recognition of the newly designed cementless femoral stem using digital signal processing
description	Stress shielding and micromotion are two major issues which determine the success of newly designed cementless femoral stems.The correlation of experimental validation with finite element analysis (FEA) is commonly used to valuate the stress distribution and fixation stability of the stem within the femoral canal. This paper focused on the applications of feature extraction and pattern recognition using support vector machine (SVM) to determine the primary stability of the implant. We measured strain with triaxial rosette at the metaphyseal region and micromotion with linear variable direct ransducer proximally and distally using composite femora. The root mean squares technique is used to feed the classifier which provides maximum likelihood estimation of amplitude, and radial basis function is used as the kernel parameter which mapped the datasets into separable hyperplanes.The results showed 100% pattern recognition accuracy using SVM for both strain and micromotion.This indicates that DSP could be applied in determining the femoral stem primary stability with high pattern recognition accuracy in biomechanical testing.
format	Article
author	Baharuddin, Mohd Yusof Salleh, Sh-Hussain Hamedi, Mahyar Zulkifly, Ahmad Hafiz Lee, Muhammad Hisyam Mohd Noor, Alias A. Harris, Arief Ruhullah Abdul Majid, Norazman
author_facet	Baharuddin, Mohd Yusof Salleh, Sh-Hussain Hamedi, Mahyar Zulkifly, Ahmad Hafiz Lee, Muhammad Hisyam Mohd Noor, Alias A. Harris, Arief Ruhullah Abdul Majid, Norazman
author_sort	Baharuddin, Mohd Yusof
title	Primary stability recognition of the newly designed cementless femoral stem using digital signal processing
title_short	Primary stability recognition of the newly designed cementless femoral stem using digital signal processing
title_full	Primary stability recognition of the newly designed cementless femoral stem using digital signal processing
title_fullStr	Primary stability recognition of the newly designed cementless femoral stem using digital signal processing
title_full_unstemmed	Primary stability recognition of the newly designed cementless femoral stem using digital signal processing
title_sort	primary stability recognition of the newly designed cementless femoral stem using digital signal processing
publisher	Hindawi Publishing Corporation
publishDate	2014
url	http://irep.iium.edu.my/38251/ http://irep.iium.edu.my/38251/ http://irep.iium.edu.my/38251/ http://irep.iium.edu.my/38251/1/38251_Primary%20stability%20recognition.pdf http://irep.iium.edu.my/38251/2/38251_Primary%20stability%20recognition_SCOPUS.pdf http://irep.iium.edu.my/38251/3/38251_Primary%20stability%20recognition_WOS.pdf
first_indexed	2023-09-18T20:54:56Z
last_indexed	2023-09-18T20:54:56Z
_version_	1777410240846757888

Primary stability recognition of the newly designed cementless femoral stem using digital signal processing

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