"DeepAF: A Multi-task Deep Learning Model for Arrhythmias Detection at ..."

Kuetche Fotsing et al. (2023)

> Home

Details and statistics

DOI: 10.1007/978-3-031-56396-6_19

access: closed

type: Conference or Workshop Paper

metadata version: 2024-04-19

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - conf/safer-tea/FotsingNEWS23
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/safer-tea/FotsingNEWS23
Kuetche Fotsing, Alexendre Noura, Pascal Ntsama Eloundou, Colince Welba, Thierry Simo:
DeepAF: A Multi-task Deep Learning Model for Arrhythmias Detection at Resource-Constrained Mobile Device. SAFER-TEA 2023: 297-307

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.