NDLI: Primary Stability Recognition of the Newly Designed Cementless Femoral Stem Using Digital Signal Processing

Content Provider	PubMed Central
Author	Yusof, Baharuddin Mohd Salleh, Sh-hussain Hamedi, Mahyar Hafiz, Zulkifly Ahmad Lee, Muhammad Hisyam Noor, Alias Mohd Harris, Arief Ruhullah A. Majid, Norazman Abdul
Copyright Year	2014
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 evaluate 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 transducer 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.
Related Links	http://dx.doi.org/10.1155/2014/478248
Starting Page	478248
File Format	PDF
ISSN	23146141
e-ISSN	23146141
Journal	BioMed Research International
Volume Number	2014
Language	English
Publisher	Hindawi Publishing Corporation
Publisher Date	2014-01-01
Access Restriction	Open
Rights Holder	Hindawi Publishing Corporation
Subject Keyword	Research in Higher Education
Content Type	Text
Resource Type	Article
Subject	Immunology and Microbiology Medicine Biochemistry, Genetics and Molecular Biology

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