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Knee Joint Biomechanical Gait Data Classification for Knee Pathology Assessment: A Literature Review.

Mariem AbidNeila MezghaniAmar Mitiche
Published in: Applied bionics and biomechanics (2019)
The review reveals that the importance of medical applications of knee joint biomechanical gait data classification and recent progress in data acquisition technology are fostering intense interest in the subject and giving a strong impetus to research. The review also reveals that biomechanical data during locomotion carry essential information on knee joint conditions to infer an early diagnosis. This survey paper can serve as a useful informative reference for research on the subject.
Keyphrases
  • electronic health record
  • big data
  • machine learning
  • finite element
  • deep learning
  • healthcare
  • total knee arthroplasty
  • case report
  • cross sectional
  • knee osteoarthritis
  • finite element analysis