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.
journal_name
Biomed Res Intjournal_title
BioMed research internationalauthors
Baharuddin MY,Salleh ShH,Hamedi M,Zulkifly AH,Lee MH,Mohd Noor A,Harris AR,Abdul Majid Ndoi
10.1155/2014/478248subject
Has Abstractpub_date
2014-01-01 00:00:00pages
478248eissn
2314-6133issn
2314-6141journal_volume
2014pub_type
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pub_type: 已发布勘误
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pub_type: 临床试验,杂志文章
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