title: [Study of traditional Chinese medicine pulse signals in patients with coronary heart disease based on recurrence quantification analysis].
abstract: OBJECTIVE
  By using recurrence quantification analysis (RQA) to analyze traditional Chinese medicine pulse signals of patients with coronary heart disease (CHD), this study aims to find nonlinear dynamic parameters of pulses to distinguish patients with CHD from normal subjects.
  
  
  METHODS
  First, pulse signals were collected using ZBOX-I pulse digitization gathering analyzer from October 2007 to June 2008. RQA was used to analyze RQA parameters of pulses of 63 patients with CHD and 61 normal subjects. RQA parameters included recurrence rate (RR), determinism (DET), averaged diagonal length (L), entropy of diagonal length (ENTR), length of longest diagonal line (L(max)), laminarity (LAM), trapping time (TT) and length of longest vertical line (V(max)). Then, rank-sum test and BoxPlot were employed to find significant difference and distribution of RQA parameters. Lastly, receiver operating characteristic (ROC) curves were used to assess the diagnostic value of the measurements with significant difference.
  
  
  RESULTS
  There were significant differences in RQA parameters of pulse signals between the two groups, including RR, DET, L, ENTR, LAM, TT and V(max), and their areas under the ROC curves were 1.000, 0.898, 0.653, 0.673, 0.885, 0.898, 0.986 and 0.994, respectively.
  
  
  CONCLUSIONS
  Compared with the normal subjects, the pulse signals of the patients with CHD are presented with more certainty, regularity and stability. RQA measurements of RR, TT, Vmax, DET and LAM show good diagnostic value according to their ROC curves.
authors.affiliation: Laboratory of Information Access and Synthesis of Traditional Chinese Medicine Four Diagnosis, Shanghai University of Traditional Chinese Medicine, Shanghai 201203, China.
authors.forename: Rui
authors.initials: R
authors.lastname: Guo
authors.forename: Yi-qin
authors.initials: YQ
authors.lastname: Wang
authors.forename: Jian-jun
authors.initials: JJ
authors.lastname: Yan
authors.forename: Han-xia
authors.initials: HX
authors.lastname: Yan
authors.forename: Yu-ci
authors.initials: YC
authors.lastname: Yang
mesh_terms: D000368:Aged; D002320:Cardiovascular Physiological Phenomena; D016022:Case-Control Studies; D003327:Coronary Disease / Q000175:diagnosis*; D006801:Humans; D008516:Medicine, Chinese Traditional / Q000379:methods*; D008875:Middle Aged; D011674:Pulse; D012372:ROC Curve