SCIRP Mobile Website
Paper Submission

Why Us? >>

  • - Open Access
  • - Peer-reviewed
  • - Rapid publication
  • - Lifetime hosting
  • - Free indexing service
  • - Free promotion service
  • - More citations
  • - Search engine friendly

Free SCIRP Newsletters>>

Add your e-mail address to receive free newsletters from SCIRP.

 

Contact Us >>

WhatsApp  +86 18163351462(WhatsApp)
   
Paper Publishing WeChat
Book Publishing WeChat
(or Email:book@scirp.org)

Article citations

More>>

Jan, R. and Pawel, S. (2001) Usefulness of the Poincare mapping in detection of T-wave althernans in precordial leads of standard ECG—a comparision with the spectral method. Diagnostics and Medical Technology, 7, 471- 476.

has been cited by the following article:

  • TITLE: On the basis of the morphology of the T-wave alternans: A Poincare mapping method research

    AUTHORS: Hui Guo, Jie Zhao, Fei Li, Tiantian Li

    KEYWORDS: T-Wave Alternans; Poincare Mapping Method; Spectral Method; Vector Angle Index (VAI)

    JOURNAL NAME: Journal of Biomedical Science and Engineering, Vol.6 No.4, April 29, 2013

    ABSTRACT: Presently T-wave alternans (TWA) has become a clinical index of non-invasive diagnosis for heart sudden death prediction, and detecting T-wave alternate accurately is particularly important. This paper introduces an algorithm for detecting TWA using Poincare mapping method which is a technique for nonlinear dynamic systems to display periodic behavior. Sample series of beat to beat cycles were selected to prepare Poincare mapping method. Vector Angle Index (VAI), which is the mean of the difference between θi (the angle between the line connecting the i point to the origin and the X axis) and 45 degrees was used to present the presence or absence of TWA. The value of 0.9 rad ≤ VAI ≤ 1.03 rad is accepted as a level determinative for presence of TWA. VAI via Poincare mapping method (PM) is used for correlation analysis with T-wave alternans voltage (Vtwa) by way of the spectral method (SM). The cross-correlation coefficient between Vtwa and VAI is γ = 0.8601. The algorithm can identify the absence and presence of TWA accurately and provide idea for further study of TWA-PM.