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

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

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Abstract

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.

Item Type:	Article (Journal)
Additional Information:	2397/38251
Uncontrolled Keywords:	Stability Recognition, Cementless Femoral Stem, Digital Signal Processing
Subjects:	R Medicine > RD Surgery > RD701 Orthopedics
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	Kulliyyah of Medicine > Department of Department of Orthopaedics, Traumatology & Rehabilitation
Depositing User:	Prof Dr Ahmad Hafiz Zulkifly
Date Deposited:	15 Sep 2014 08:29
Last Modified:	19 Sep 2017 16:36
URI:	http://irep.iium.edu.my/id/eprint/38251

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