"Novel Density Poincaré Plot Based Machine Learning Method to Detect ..."

Syed Khairul Bashar et al. (2021)

> Home

Details and statistics

DOI: 10.1109/TBME.2020.3004310

access: closed

type: Journal Article

metadata version: 2022-01-03

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - journals/tbe/BasharHZDFWMJC21
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/tbe/BasharHZDFWMJC21
Syed Khairul Bashar, Dong Han, Fearass Zieneddin, Eric Ding, Timothy P. Fitzgibbons, Allan J. Walkey, David D. McManus, Bahram Javidi, Ki H. Chon:
Novel Density Poincaré Plot Based Machine Learning Method to Detect Atrial Fibrillation From Premature Atrial/Ventricular Contractions. IEEE Trans. Biomed. Eng. 68(2): 448-460 (2021)

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.