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Coronary artery disease prediction method using linear and nonlinear feature of heart rate variability in three recumbent postures.

Heon Gyu LeeWuon-Shik KimKiyong NohJin-Ho ShinUnil YunKeun Ho Ryu
Published in: Inf. Syst. Frontiers (2009)
Keyphrases
  • fully automatic
  • computer vision
  • training data
  • pattern recognition
  • classification accuracy
  • feature set
  • classification algorithm
  • classification method
  • myocardial perfusion