Spectral coefficients system for osteoarthritis detection

Gan Hong Seng, Tan Tian Swee

Research output: Contribution to journalArticlepeer-review

4 Citations (Scopus)


According to our knowledge, VAG serves great interest for the detection of Osteoarthritis. However, there is no scientific research being carried out to study the effect of LPCC and MFCC on vibroarthrographic (VAG) signals. Hence, the objective of this project is to evaluate the effectiveness of LPCC and MFCC in extracting features from VAG signals of 30 subjects. We have carried out quantitative analysis on the VAG cepstral model from intersubject and intra-subject perspective. Our study exhibits high recognition rates of 90.36% for LPCC and 88.64% in the intrasubject analysis of the VAG signal. In conclusion, the cepstral analysis of VAG signal has been showing great potential for future research given the high intra-subject analysis. Nevertheless, we strongly suggest a larger research population with the inclusion of OA patients.

Original languageEnglish
Pages (from-to)151-159
Number of pages9
JournalInternational Journal of Circuits, Systems and Signal Processing
Issue number3
Publication statusPublished - 2013
Externally publishedYes


  • Linear predictive cepstral coefficient
  • Mel frequency cepstral coefficient
  • Signal processing
  • Vibroarthrography


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