Three-Heartbeat Multilead ECG Recognition Method for Arrhythmia Classification

  • Liang Hung Wang
  • , Yan Ting Yu
  • , Wei Liu
  • , Lu Xu
  • , Chao Xin Xie
  • , Tao Yang
  • , I. Chun Kuo
  • , Xin Kang Wang
  • , Jie Gao
  • , Pao Cheng Huang
  • , Shih Lun Chen
  • , Wei Yuan Chiang
  • , Patricia Angela R. Abu

Research output: Contribution to journalArticlepeer-review

Original languageEnglish
Pages (from-to)44046-44061
Number of pages16
JournalIEEE Access
Volume10
DOIs
StatePublished - 2022

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

ASJC Scopus Subject Areas

  • General Computer Science
  • General Materials Science
  • General Engineering

Keywords

  • Arrhythmia classification
  • electrocardiogram
  • one-dimensional convolutional neural network (1D-CNN)
  • priority model integrated voting method
  • three-heartbeat multi-lead (THML)

Fingerprint

Dive into the research topics of 'Three-Heartbeat Multilead ECG Recognition Method for Arrhythmia Classification'. Together they form a unique fingerprint.

Cite this