title: Primary stability recognition of the newly designed cementless femoral stem using digital signal processing.
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.
authors.affiliation: Department of Biomedical Engineering, Faculty of Engineering, University of Malaya, 50603 Lembah Pantai, Kuala Lumpur, Malaysia ; Centre for Biomedical Engineering Transportation Research Alliance, Universiti Teknologi Malaysia, 81310 Skudai, Johor, Malaysia.
authors.forename: Mohd Yusof
authors.identifier: 0000-0002-2956-6361
authors.initials: MY
authors.lastname: Baharuddin
authors.affiliation: Centre for Biomedical Engineering Transportation Research Alliance, Universiti Teknologi Malaysia, 81310 Skudai, Johor, Malaysia.
authors.forename: Sh-Hussain
authors.initials: ShH
authors.lastname: Salleh
authors.affiliation: Centre for Biomedical Engineering Transportation Research Alliance, Universiti Teknologi Malaysia, 81310 Skudai, Johor, Malaysia.
authors.forename: Mahyar
authors.initials: M
authors.lastname: Hamedi
authors.affiliation: Department of Orthopaedic, Traumatology & Rehabilitation, Kuliyyah of Medicine, International Islamic University Malaysia, 25200 Kuantan, Pahang, Malaysia.
authors.forename: Ahmad Hafiz
authors.initials: AH
authors.lastname: Zulkifly
authors.affiliation: Centre for Biomedical Engineering Transportation Research Alliance, Universiti Teknologi Malaysia, 81310 Skudai, Johor, Malaysia ; Department of Mathematical Sciences, Faculty of Science, Universiti Teknologi Malaysia, 81310 Skudai, Johor, Malaysia.
authors.forename: Muhammad Hisyam
authors.initials: MH
authors.lastname: Lee
authors.affiliation: Centre for Biomedical Engineering Transportation Research Alliance, Universiti Teknologi Malaysia, 81310 Skudai, Johor, Malaysia.
authors.forename: Alias
authors.initials: A
authors.lastname: Mohd Noor
authors.affiliation: Centre for Biomedical Engineering Transportation Research Alliance, Universiti Teknologi Malaysia, 81310 Skudai, Johor, Malaysia.
authors.forename: Arief Ruhullah A
authors.initials: AR
authors.lastname: Harris
authors.affiliation: Centre for Biomedical Engineering Transportation Research Alliance, Universiti Teknologi Malaysia, 81310 Skudai, Johor, Malaysia.
authors.forename: Norazman
authors.initials: N
authors.lastname: Abdul Majid
mesh_terms: D001185:Artificial Intelligence; D040761:Biomimetic Materials; D002484:Cementation; D003198:Computer Simulation; D017076:Computer-Aided Design; D019544:Equipment Failure Analysis / Q000379:methods; D005270:Femur Head / Q000503:physiopathology* / Q000601:surgery; D006621:Hip Joint / Q000503:physiopathology* / Q000601:surgery; D006622:Hip Prosthesis; D006801:Humans; D007593:Joint Instability / Q000503:physiopathology* / Q000601:surgery; D008954:Models, Biological; D010363:Pattern Recognition, Automated / Q000379:methods*; D011474:Prosthesis Design; D012815:Signal Processing, Computer-Assisted; D013718:Tensile Strength