Cover Image
QR Code

Screening of knee-joint vibroarthrographic signals using statistical parameters and radial basis functions.

Externally detected vibroarthrographic (VAG) signals bear diagnostic information related to the roughness, softening, breakdown, or the state of lubrication of the articular cartilage surfaces of the knee joint. Analysis of VAG signals could provide quantitative indices for noninvasive diagnosis of...

Full description

Published in:Medical & Biological Engineering & Computing Vol. 46; no. 3; pp. 223 - 233
Main Authors: Rangayyan RM, Wu YF, Rangayyan, Rangaraj M, Wu, Y F
Format: research Journal Article
Published: Springer Nature Mar2008
Online Access:View this record in EBSCOhost
fields @attributes:
  recordID: 1
pdfLink:
plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=105747478&site=ehost-live
header:
  @attributes:
    shortDbName: ccm
    uiTerm: 105747478
    longDbName: CINAHL Complete
    uiTag: AN
  controlInfo:
    bkinfo:
    dissinfo:
    jinfo:
      jid:
        01400118
        PO0
      jtl: Medical & Biological Engineering & Computing
      issn: 01400118
      maglogo: N
    pubinfo:
      dt: Mar2008
      vid: 46
      iid: 3
      pid: 237
      pub: Springer Nature
      place: New York, New York
    artinfo:
      ui:
        105747478
        NLM17960443
        2009889699
        10.1007/s11517-007-0278-7
        NLM17960443
        105747478
      ppf: 223
      ppct: 10
      formats:
        fmt:
          @attributes:
            type: P
      tig:
        atl: Screening of knee-joint vibroarthrographic signals using statistical parameters and radial basis functions.
      aug:
        au:
          Rangayyan RM
          Wu YF
          Rangayyan, Rangaraj M
          Wu, Y F
        affil: Department of Electrical and Computer Engineering Schulich School of Engineering, University of Calgary, Calgary, AB, Canada
      sug:
        subj:
          Auscultation Methods
          Cartilage Diseases Diagnosis
          Cartilage, Articular Physiopathology
          Knee Joint Physiopathology
          Signal Processing, Computer Assisted
          Health Screening Methods
          Physics
          Vibration
      ab: Externally detected vibroarthrographic (VAG) signals bear diagnostic information related to the roughness, softening, breakdown, or the state of lubrication of the articular cartilage surfaces of the knee joint. Analysis of VAG signals could provide quantitative indices for noninvasive diagnosis of articular cartilage breakdown and staging of osteoarthritis. We propose the use of statistical parameters of VAG signals, including the form factor involving the variance of the signal and its derivatives, skewness, kurtosis, and entropy, to classify VAG signals as normal or abnormal. With a database of 89 VAG signals, screening efficiency of up to 0.82 was achieved, in terms of the area under the receiver operating characteristics curve, using a neural network classifier based on radial basis functions.
      pubtype: Academic Journal
      doctype:
        research
        Journal Article
      ougenre: Article
    language: English
    refInfo:
    holdings:
      @attributes:
        islocal: N