The automatic detection and analysis of electrocardiogram based on Lorenz Plot

Wenqi Wang, Yangjie Wei, Nan Guan, Yi Wang

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

4 Citations (Scopus)


Lorenz Plot is widely used in analysis of heart rate variability because of its high sensitivity and high individuation. However, due to the high computational complexity and excessive reliance on experience based tuning, the effectiveness and accuracy of the traditional analysis methods based on Lorenz Plot are both low. In this paper, an automatic detection method according to the shape of Lorenz Plot is proposed, and a sequence of error analysis has been conducted according to the experimental results. First, the redundant points are automatically eliminated through coordinate transformation and their distribution characteristics along the X-axis and Y-axis. Then, we divide the coverage area of scattering points into several parts, and determine the shape of Lorenz Plot according to regional characteristics such as area scale, symmetry and slope. Finally, we conduct experiments with data from the MIT-BIH database, which prove that this method could quickly and accurately pick out the normal shapes from the complex shapes of Lorenz Plots. The detection accuracy of our method is above 90%, and the time complexity is O(n).
Original languageEnglish
Title of host publication2015 IEEE International Conference on Robotics and Biomimetics, IEEE-ROBIO 2015
Number of pages6
ISBN (Electronic)9781467396745
Publication statusPublished - 1 Jan 2015
Externally publishedYes
EventIEEE International Conference on Robotics and Biomimetics, IEEE-ROBIO 2015 - Zhuhai Dehan Hotel, Zhuhai, China
Duration: 6 Dec 20159 Dec 2015


ConferenceIEEE International Conference on Robotics and Biomimetics, IEEE-ROBIO 2015

ASJC Scopus subject areas

  • Artificial Intelligence
  • Hardware and Architecture
  • Control and Systems Engineering

Cite this