"A novel deep learning technique for morphology preserved fetal ECG ..."

Promit Basak et al. (2024)

> Home

Details and statistics

DOI: 10.1016/J.ESWA.2023.121196

access: closed

type: Journal Article

metadata version: 2024-02-05

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - journals/eswa/BasakSCAYPMKA24
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/eswa/BasakSCAYPMKA24
Promit Basak, A. H. M. Nazmus Sakib, Muhammad E. H. Chowdhury, Nasser Al-Emadi, Huseyin Cagatay Yalcin, Shona Pedersen, Sakib Mahmud, Serkan Kiranyaz, Somaya Al-Máadeed:
A novel deep learning technique for morphology preserved fetal ECG extraction from mother ECG using 1D-CycleGAN. Expert Syst. Appl. 235: 121196 (2024)

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.