Extraction and screening of Knee joint Vibroarthrographic signals using the independent component analysis method

Jien Chen Chen, Pi Cheng Tung, Shih Fong Huang, Shu Wei Wu, Shih Lin Lin

Research output: Contribution to journalArticlepeer-review

3 Scopus citations

Abstract

This study presents a novel method for the extraction and screening of knee joint vibroarthrographic (VAC) signals using an independent component analysis (ICA) technique. A time-frequency analysis technique of the extracted vibration signals is proposed to carry out knee joint diagnosis. The performance of the ICA technique is verified experimentally. Statistical pattern classification screening accuracy is 82.5% in VAC. The results confirm that ICA is a feasible approach for the noninvasive diagnosis and monitoring of articular cartilage pathology.

Original languageEnglish
Pages (from-to)7501-7518
Number of pages18
JournalInternational Journal of Innovative Computing, Information and Control
Volume8
Issue number11
StatePublished - 2012

Keywords

  • Independent component analysis
  • Vibroarthrographic

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